Anatomical image processing computer assisted. Medical search. Frequent questions

Examples are scalar T1 or T2 magnetic resonance imagery, or as 3x3 diffusion tensor matrices diffusion MRI and diffusion-weighted imaging, to scalar densities associated to computed tomography (CT), or functional imagery such as temporal data of functional magnetic resonance imaging and scalar densities such as Positron emission tomography (PET). (wikipedia.org)
Anatomical phenotyping in a mouse model of fragile X syndrome with magnetic resonance imaging. (ox.ac.uk)
A package of computer programs for analysis and visualization of three-dimensional human brain functional magnetic resonance imaging (FMRI) results is described. (nih.gov)
It allows calculating the surface, distance, and angle on a bone model that is directly generated from CT or magnetic resonance imaging (MRI). (biomedres.info)
Imaging modalities such as computed tomography (CT) and magnetic resonance imaging (MRI) are widely used in diagnostics, clinical studies, and treatment planning. (springer.com)
Since imaging modalities, such a computed tomography (CT) and magnetic resonance imaging (MRI), are widely used in diagnostics, clinical studies, and treatment planning, automatic algorithms for (bio-)medical image processing and analysis have become an invaluable tool in medicine. (springer.com)
Magnetic resonance imaging, abbreviated as MRI, is a medical imaging procedure that uses a strong magnetic field and radio waves to create detailed images of the tissues and organs within the body. (gleneagles.com.my)
Deep Learning Assisted Diagnosis of Musculoskeletal Tumors Based on Contrast-Enhanced Magnetic Resonance Imaging. (cdc.gov)

The 3D geometry of anatomical structures facilitates computer-assisted diagnosis and therapy planning. (zib.de)
Doi, K.: Computer-aided diagnosis in medical imaging: Historical review, current status and future potential. (crossref.org)
For medical diagnosis, visualization, and model-based therapy planning three-dimensional geometric reconstructions of individual anatomical structures are often indispensable. (kobv.de)
These interpretation strategies are also required in medical applications where anatomical and medical knowledge is used to support segmentation of medical images or to assist with diagnosis. (uni-koblenz-landau.de)
Its ancestor is computer assisted diagnosis of chest X-ray or experts system like as dialog system. (ap-lab.ca)
Computer aided diagnosis and surgery are his major active research fields. (ap-lab.ca)
This non-invasive exam provides anatomical information quickly and accurately, which assists your physician in making accurate diagnosis and treatment recommendations. (gleneagles.com.my)
This pioneer work demonstrates the feasibility and efficiency of AI-assisted radiography screening and diagnosis in occupational lung diseases. (nature.com)
In February 2010, the DICOM group that represents the dentistry specialty met to discuss issues related to the DICOM standards, including the use of imaging in diagnosis, treatment simulation, treatment guidance, and tissue restoration. (medscape.com)
With this in mind, the development of the brush biopsy (Oral CDx R) coupled with a computer-assisted method of analysis has brought accurate diagnosis, ease of performance, and patient acceptance into daily practice. (medscape.com)
This paper aimed to review the literature regarding the application of positron emission tomography in head and neck cancer, including its impact in the diagnosis, image principles, radiotracers, positron emission tomography / computed tomography image fusion and other advantages. (bvsalud.org)
Artificial Intelligence Algorithm-Based Analysis of Ultrasonic Imaging Features for Diagnosis of Pregnancy Complicated with Brain Tumor. (cdc.gov)
End-to-End Neural Network for Feature Extraction and Cancer Diagnosis of In Vivo Fluorescence Lifetime Images of Oral Lesions. (cdc.gov)

Spatial location and extents in human anatomical coordinate systems can be recorded via a variety of Medical imaging modalities, generally termed multi-modal medical imagery, providing either scalar and or vector quantities at each spatial location. (wikipedia.org)
Various imaging modalities are able to depict various anatomical structures. (zib.de)
Imaging modalities are necessarily used in dentistry for treatment planning and dental procedures. (opendentistryjournal.com)
This approach generalizes across different modalities, including serially-sectioned scanning electron microscopy (sSEM) of genetically labeled and contrast enhanced processes, spectral confocal reflectance (SCoRe) microscopy, and high-energy synchrotron X-ray microtomography ( μ CT) of large tissue volumes. (springer.com)
Today, most companies producing imaging devices (termed acquisition modalities) include DICOM image identification. (medscape.com)
Statistical process control was used to assess the consistency of the mean dose to auto-contours between plans and treatment modalities by setting control limits within three standard deviations of the data's mean. (bvsalud.org)

Medical Imaging 2006: Visualization, Image-Guided Procedures, and Display. (queensu.ca)
Thus, for accurate visualization of anatomical structures on CBCT scans, systems with smaller FOVs and consequently smaller voxel size are preferred. (opendentistryjournal.com)
3D Slicer [2] is one of the most popular open-source platforms in the world for medical image analysis and visualization. (kitware.com)
Other functionalities are the calculation of medical metrics (dice score and Hausdorff distance), manual slice-by-slice outlining of structures in medical images, manual placing of (anatomical) landmarks in medical imaging data, visualization of medical data in virtual reality (VR), and a facial reconstruction and registration of medical data for augmented reality (AR). (springer.com)
IEEE Transactions on Visualization and Computer Graphics , 2015, 14 p. (inria.fr)
Furthermore, image analysis provides a simple and noninvasive visualization of the retinal blood vessels in those high risk ophthalmologic medical conditions [ 1 - 3 ]. (hindawi.com)

The first algorithm for dense image mapping via diffeomorphic metric mapping was Beg's LDDMM for volumes and Joshi's landmark matching for point sets with correspondence, with LDDMM algorithms now available for computing diffeomorphic metric maps between non-corresponding landmarks and landmark matching intrinsic to spherical manifolds, curves, currents and surfaces, tensors, varifolds, and time-series. (wikipedia.org)
Manual placement of markers on anatomical landmarks allows transformation of anatomical and functional scans into stereotaxic (Talairach-Tournoux) coordinates. (nih.gov)
While, if the calcaneal parameters are directly measured on 2D images, the values will vary depending on the view of the scanning, rather than real anatomical landmarks. (biomedres.info)
The points or distinct regions are addressed on unique shape of the bone model (anatomical landmarks) manually palpable and geometrically recognizable. (biomedres.info)
The fundus retinal images are directly captured from human eye that includes some other landmarks like microcirculation system of the retina, macula, optic disc, fovea, microaneurysm, and exudates [ 4 ]. (hindawi.com)
See the image below for anterior ADI [AADI] and posterior ADI [PADI] landmarks. (medscape.com)

SPIE Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling. (queensu.ca)
SPIE Medical Imaging 2009: Ultrasonic Imaging and Signal Processing. (queensu.ca)
He was the Chair of SPIE Medical Imaging CAD conference in 2018 and 2019. (ap-lab.ca)

The first challenge of automatic shape reconstruction is the wide variety of anatomical structures in terms of size, shape, topology, and degree of pathology. (zib.de)
However, from the clinical perspective it is often useful to attain a plausible reconstruction of a bony structure from an MRI image, even though the detailed information in the image might be partially missing, for example due to a lack of contrast. (zib.de)
Since internal anatomical structures cannot be measured optically or mechanically in vivo, three-dimensional reconstruction of tomographic image data remains the method of choice. (kobv.de)
In this work the process chain of individual anatomy reconstruction is described which consists of segmentation of medical image data, geometrical reconstruction of all relevant tissue interfaces, up to the generation of geometric approximations (boundary surfaces and volumetric meshes) of three-dimensional anatomy being suited for finite element analysis. (kobv.de)
This study aimed to assess the ability of three Cone Beam Computed Tomography (CBCT) systems including Cranex 3D, NewTom 3G and 3D Promax for Three-Dimensional (3D) image reconstruction of the cortical plate with variable thicknesses. (opendentistryjournal.com)
Most CBCT systems have high efficacy for 3D image reconstruction of cortical bone with thicknesses over 1 mm while they have poor efficacy for image reconstruction of cortical bone with less than 0.5 mm thickness. (opendentistryjournal.com)
Unlike learning methods, our Flexible Learning-free Reconstruction of Imaged Neural volumes (FLoRIN) pipeline exploits structure-specific contextual clues and requires no training. (springer.com)
Our study introduces an approach towards a comprehensive anatomical reconstruction of neuronal microcircuitry and delivers microcircuitry comparisons between vertebrate and insect neuropile. (mdc-berlin.de)

Procedings 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro ISBI 2008. (queensu.ca)

however, the manual measurement of the edentulous (toothless) bone on cone beam computed tomography (CBCT) images is time-consuming and is subject to human error. (thieme-connect.de)

Ultrasound is the safest, cheapest and fastest medical imaging modality, but it's also arguably the worst in terms of image clarity," Galeotti said. (cmu.edu)
These challenges are particularly apparent when working with whole-body fluorodeoxyglucose-positron emission tomography/computed tomography (FDG-PET/CT), a medical imaging modality with a critical role in the staging and treatment response assessment of cancer. (nature.com)
A DICOM file contains a patient's x-ray image or series of images and other patient-related information (e.g., patient name, identification number, acquisition modality) as selected from a library of standardized terms. (medscape.com)
By using a standardized format, the images and associated data can be viewed regardless of the proprietary acquisition modality that was used to take the imaging study, allowing for cross-vendor interoperability or connectivity. (medscape.com)
In DICOM terminology, the device used to take an image is called an acquisition modality. (medscape.com)
Methods: An algorithm for the fusion of coronary computed tomography angiography (CCTA) as an anatomical and transthoracic echocardiography (TTE) as a functional modality is presented. (sharif.edu)

A fundamental task in most aspects of medical image computing is segmentation, i.e., delineation of anatomical structures of interest for further processing and quantification. (kitware.com)
Overcoming Barriers to Quantification and Comparison of Electrocardiographic Imaging Methods: A Community - Based Approach. (rit.edu)
Artificial intelligence (AI) has the potential to replace many tasks presently accomplished by radiologists and surgeons including the detection, characterization, and quantification of anatomical and pathological features. (thieme-connect.de)

Donner, R., Birngruber, E., Steiner, H., Bischof, H., Langs, G.: Localization of 3D Anatomical Structures Using Random Forests and Discrete Optimization. (crossref.org)
Donner, R., Menze, B.H., Bischof, H., Langs, G.: Global Localization of 3D Anatomical Structures by Pre-filtered Hough Forests and Discrete Optimization. (crossref.org)

UITC2012 - International Symposium on Ultrasonic Imaging and Tissue-characterization. (queensu.ca)
Proceedings of the International Symposium on Surgery Simulation and Soft Tissue Modeling , volume 2673 of Lecture Notes in Computer Science , Juan-les-Pins, France, June 2003. (inria.fr)
36th IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS2023). (westminster.ac.uk)

The software can color overlay neural activation maps onto higher resolution anatomical scans. (nih.gov)
Advances in tissue preparation and imaging technologies have allowed researchers to collect vast amounts of targeted structural data, potentially enabling new multi-resolution, multi-modal studies of neural volumes. (springer.com)
TrakEM2 enables us to embed the analysis of the TEM image volumes at the microcircuit level into a light microscopically derived neuro-anatomical framework, by registering confocal stacks containing sparsely labeled neural structures with the TEM image volume. (mdc-berlin.de)
However, with recent advances in neural imaging it has been possible to show that music can indeed activate the areas of the brain that are known to be involved in emotions, rewards and core adaptive drives: the limbic, paralimbic and mesolimbic regions [ 4 ]. (wikidot.com)
The W-Net convolutional neural network allows for deeper analysis of ultrasound images that are relatively fuzzy to the human eye. (cmu.edu)
His most recent work introduces W-Net, a novel convolutional neural network (CNN) framework that uses raw ultrasound waveforms in addition to the static ultrasound image to semantically segment and label tissues for anatomical, pathological or other diagnostic purposes. (cmu.edu)
More sophisticated features include the automatic cranial implant design with a convolutional neural network (CNN), the inpainting of aortic dissections with a generative adversarial network, and a CNN for automatic aortic landmark detection in CT angiography images. (springer.com)
in contrast, the neurohypophysis develops from the infundibulum, which is a downward extension of neural ectoderm from the floor of the diencephalon (see the image below). (medscape.com)
Deep Convolution Neural Network for Laryngeal Cancer Classification on Contact Endoscopy-Narrow Band Imaging. (cdc.gov)

Zheng, Y., Georgescu, B., Comaniciu, D.: Marginal Space Learning for Efficient Detection of 2D/3D Anatomical Structures in Medical Images. (crossref.org)

Diffeomorphic mapping is a broad term that actually refers to a number of different algorithms, processes, and methods. (wikipedia.org)
A multitude of software tools and algorithms exist for each type of segmentation, and segmentation has served as the subject of extensive research in the field of medical image computing. (kitware.com)
Three-dimensional binary volumes are optimal for most processing algorithms. (kitware.com)
Machine learning algorithms from computer vision can serve as a pair of virtual eyes that tirelessly processes these images, automatically detecting and identifying microstructures. (springer.com)
Automatic algorithms for image analysis have thus become an invaluable tool in medicine. (springer.com)
Zhang already estimated in 2006 that there are over 4000 image segmentation algorithms [ 5 ] and this was well before the advent of the deep learning "era" [ 6 ]. (springer.com)
Medical imaging datasets-e.g., acquired using Computed Tomography (CT), Magnetic Resonance Tomography (MRT) or X-ray imaging, to give just a few examples-can be analyzed using computer-implemented algorithms. (justia.com)
Image enhancement techniques like sharpening filters also utilize edge detection algorithms. (juegoskizifriv.net)
Without effective edge detection algorithms, it would be extremely challenging for healthcare professionals to interpret X-ray images correctly and make informed decisions regarding patient treatment. (juegoskizifriv.net)

International Journal of Computer Assisted Radiology and Surgery. (queensu.ca)
Image Processing in Radiology. (queensu.ca)
Interventional radiology (also known as IR) is the minimally invasive, image-guided treatment of medical conditions that once required open surgery. (gleneagles.com.my)
The role of medical image computing in oncology is growing stronger, not least due to the unprecedented advancement of computational AI techniques, providing a technological bridge between radiology and oncology, which could significantly accelerate the advancement of precision medicine throughout the cancer care continuum. (mdpi.com)
Leveraging recent advancements in natural language processing, we describe a weak supervision framework that extracts imperfect, yet highly granular, regional abnormality labels from free-text radiology reports. (nature.com)
You will: · Communicate pertinent patient information with nursing units · Coordinate exams with other services · Ensure accurate processing of radiology requisitions · Facilitate patient transportation to the appropriate. (experiencedalliedhealth.com)

17th Annual Imaging Network of Ontario Symposium (ImNO). (queensu.ca)
ImNO2012 - Imaging Network Ontario Symposium. (queensu.ca)

Workshop on Clinical Image-Guided Therapy: Opportunities and Needs. (queensu.ca)
Anatomical morphology is an important clinical value to maintain normal function and may use as references to evaluate the reduction for calcaneal fractures. (biomedres.info)
An example could be the processing of medical acquisitions like CT or MRI from animals [Clinical Pharmacology & Therapeutics, 84(4):448-456, 68 ], which get more and more common, as veterinary clinics and centers get more and more equipped with such imaging devices. (springer.com)
One of the key advantages of 3D clinical computer animations is their capability to simplify complicated medical procedures. (giantup.com)
Nonetheless, 3D clinical computer animations can break down these treatments detailed, highlighting bottom lines and also offering a clear, visual representation of what takes place inside the body. (giantup.com)
Another considerable advantage of 3D medical computer animations is their role in clinical education and learning. (giantup.com)
3D clinical animations can provide a vibrant and also interactive learning experience, enabling trainees to explore different angles, focus on details frameworks, and also observe processes from beginning to end. (giantup.com)
Nevertheless, by utilizing 3D clinical computer animations, medical professionals can present their searchings for and suggestions more clearly and concisely. (giantup.com)
As modern technology continues to breakthrough, 3D clinical computer animations will certainly play an important role in shaping the future of medication, making it more accessible and also understandable for all. (giantup.com)
Even if data sets are manually annotated, common changes in the underlying data distribution (e.g., scanner type, imaging protocol, post-processing techniques, patient population, or clinical classification schema) could rapidly render the models they support obsolete. (nature.com)
We propose using an auto-contouring model and statistical process control to independently assess planning consistency in retrospective data from a breast radiotherapy clinical trial. (bvsalud.org)
Clinical Image-Based Procedures. (google.de)
As a critical member of our 3D Printing Lab team, you will oversee our media services program as well as our 3D clinical anatomical printing program. (experiencedalliedhealth.com)
You will track and manage utilization of the 3D clinical anatomical printing program, delivering smooth workflow and appropriate billing while ensuring clinician requestors have the printed models they need for clinical care planning. (experiencedalliedhealth.com)

In this research, to produce the arterial geometry, an image-processing was done using CT-scan images of a LAD coronary artery. (sharif.edu)

Various examples of the disclosure generally relate to determining a label set including multiple labels for labeling an anatomical structure in a medical imaging dataset. (justia.com)
Thereby, analysis of the medical imaging dataset by a radiologist or another user can be facilitated. (justia.com)
This dataset is intended to catalyze further innovation and refinement in the field of semantic chest X-ray analysis, offering a significant resource for researchers in the medical imaging domain. (physionet.org)

Prior to the rise of CNNs, so-called model-based segmentation methods made use of statistical shape models (SSMs) to enforce anatomical plausibility of predicted shapes. (zib.de)
Therefore, our focus lies on exploring novel ways of learning shape knowledge with CNNs, and embedding them into image-based segmentation methods. (zib.de)
These methods may suffer from inconsistency among generated images from different perspectives, especially in regions with intricate textures and structures. (arxiv.org)
Unlike previous methods that employ camera pose matrices, LFD transforms the camera view information into light field encoding and combines it with the reference image. (arxiv.org)
Standard methods like textbooks or static images may drop brief in communicating the three-dimensional nature of the human body. (giantup.com)
Materials and Methods After obtaining the ethical approval, CBCT images were extracted from the database of the University Dental Hospital Sharjah based on predefined selection criteria. (thieme-connect.de)
Most contemporary optical flow techniques largely focus on addressing the cross-image matching with feature similarity, with few methods considering how to explicitly reason over the given scene for achieving a holistic motion understanding. (researchgate.net)
Furthermore, we will discuss the advantages and limitations of different edge detection methods while highlighting their potential applications across diverse domains such as autonomous driving, robotics, surveillance, and image enhancement. (juegoskizifriv.net)
By enhancing the sharpness of edges within an image while suppressing noise and unwanted details, these methods improve the overall visual quality of images. (juegoskizifriv.net)

IS&T/IoP London Imaging Meeting 2021. (westminster.ac.uk)
London 20 - 22 Sep 2021 The Society of Imaging Science and Technology. (westminster.ac.uk)

A reliable method for morphological measurement of 3D calcaneus models from computed tomography images. (biomedres.info)
Anatomical landmark serves as measurement constraints that manually identified and localized on bone mesh surface according to Gaussian curvature analysis. (biomedres.info)
Computer assisted measurement and manual measurement were performed to quantify morphological parameters. (biomedres.info)
Most of these parameters are evaluated with a measurement on a 2D planar radiograph or computed tomography (CT) images [ 4 - 6 ]. (biomedres.info)
This measurement is accomplished by a computer-assisted method where the relevant parameters of calcaneal morphology are calculated by snapping the cursor onto specific points. (biomedres.info)

He was elected as the President of the International Society of Computer Aided Surgery (ISCAS) in 2018. (ap-lab.ca)

Unlike traditional AI object detection models that identify objects present in the image, this model identifies missing objects. (thieme-connect.de)
The representation also contributes to more accurate mortality prediction from imaging data, suggesting the potential utility of our framework beyond abnormality detection and location estimation. (nature.com)
However, manually labeling a data set for anatomically-resolved abnormality detection is particularly painstaking because it requires either performing pixel-level annotations or sorting abnormalities into a hierarchy of anatomical regions 10 . (nature.com)
Edge detection is a fundamental task in the field of computer graphics and image processing. (juegoskizifriv.net)
By identifying boundaries between different regions or objects within an image, edge detection enables more advanced analysis and manipulation of visual data. (juegoskizifriv.net)
One example that illustrates the importance of edge detection is its application in medical imaging. (juegoskizifriv.net)
In this article, we will explore various techniques used for edge detection in computer graphics and image processing. (juegoskizifriv.net)
Overall, edge detection is a versatile tool that finds applications across various domains where accurate boundary identification is crucial for further analysis or decision-making processes. (juegoskizifriv.net)
Edge detection is a fundamental process in image processing that involves identifying and locating the boundaries or edges of objects within an image. (juegoskizifriv.net)
To illustrate the importance of edge detection, consider the following example: Imagine a medical imaging system designed to analyze X-ray images for diagnosing bone fractures. (juegoskizifriv.net)
Edge detection allows computers to identify and extract key features from images by isolating areas where significant changes occur. (juegoskizifriv.net)

Workshop on Systems and Architectures for Computer Assisted Interventions, held in conjunction with the 11th International Conference on Medical Image Computing and Computer Assisted Intervention. (queensu.ca)
Variational Approach to Sparse Error Estimation in Cardiac Electrophysiological Imaging, In M. Descoteaux, L. Maier-Hein, A. Franz, P. Jannin, D. L. Collins, and S. Duchesne (Eds), Medical Image Computing and C." edical Image Computing and Computer-Assisted Intervention 10434. (rit.edu)
Medical Image Computing and Computer-Assisted Intervention-MICCAI 2012 , 2012, pp. 50-57. (inria.fr)
He served as the general chair of the 16th international conference of Medical Image Computing and Computer Assisted Intervention (MICCAI 2013). (ap-lab.ca)

Therefore, it is desirable to extract shape knowledge from a set of segmentation masks from CT scans, and to employ this shape knowledge to improve the segmentation of MRI scans, where the image information is locally uninformative. (zib.de)
He processed thousands of individual scans, each bringing the AI system closer to performing the same tasks on its own. (cmu.edu)
With Dr. deBoisblanc's group of about a dozen LSU clinicians sharing and labeling lung scans, Galeotti's team has been able to refine the process. (cmu.edu)

Medical image data provides the basis for reconstructions of such geometries. (zib.de)

In order to train a CNN for such a segmentation task, a large pool of manually annotated images would be required, which is particularly tedious to attain due to the missing details in the image. (zib.de)
The techniques for automatically generating transformed functional data sets from manually labeled anatomical data sets are described. (nih.gov)

In contrast to SSMs, CNNs can process segmentation masks without the need to create corresponding triangular meshes. (zib.de)

Different from μ CT X-ray and SCoRe, sSEM imaging provides a more comprehensive view of all neuronal structures within a given volume, allowing one to resolve fine-grained details such as dendritic spines and individual synapses. (springer.com)
Some neuronal circuit tracing studies are based on exhaustive manual proof-reading of results from an algorithm 10 , 11 , which, like the creation of ground-truth data, is not practical for datasets consisting of high resolution images or large volumes. (springer.com)
The analysis of microcircuitry (the connectivity at the level of individual neuronal processes and synapses), which is indispensable for our understanding of brain function, is based on serial transmission electron microscopy (TEM) or one of its modern variants. (mdc-berlin.de)

While reading an FDG-PET/CT scan, a radiologist will typically record the anatomical regions with abnormal metabolic activity within a multi-paragraph report. (nature.com)

Various examples of the disclosure pertain to determining a label set for an anatomical structure such as a complex blood vessel, e.g., the coronary artery. (justia.com)
More specifically, for example, the inventors have identified a need for advanced techniques for determining label sets including multiple labels for labeling complex anatomical structures, e.g., the coronary artery. (justia.com)

Computational anatomy is a subdiscipline within the broader field of neuroinformatics within bioinformatics and medical imaging. (wikipedia.org)
There are now many codes organized around diffeomorphic registration including ANTS, DARTEL, DEMONS, StationaryLDDMM, FastLDDMM, as examples of actively used computational codes for constructing correspondences between coordinate systems based on dense images. (wikipedia.org)
The central focus of the sub-field of Computational anatomy (CA) within medical imaging is mapping information across anatomical coordinate systems at the 1 millimeter morphome scale. (wikipedia.org)
Additionally, to reduce the computational cost of global modeling, we decompose this modeling process along the two coordinate axes of the image. (arxiv.org)
By taking the advantage of medical imaging, analysis, and computational simulation as a part of computer-assisted technology, measurements of anatomical parameters in three-dimensional (3D) space have been implemented to obtain relevant information [ 13 - 16 ]. (biomedres.info)
This cost-effective, simple image acquisition system can be used in the large-scale screening programs and retinal image analysis developing mathematical and computational techniques. (hindawi.com)

Experiments on several datasets show that our LFD can efficiently generate high-fidelity images and maintain better 3D consistency even in intricate regions. (arxiv.org)
In the past few decades, image-based analysis of radiological datasets has gone through a remarkable period of rapid technological innovation. (springer.com)
Specifically, it is possible to detect and localize anatomical structures in the medical imaging datasets. (justia.com)
The inventors have identified a need for advanced techniques of determining label sets for medical imaging datasets. (justia.com)
Every image in the training and test datasets were labeled by experienced radiologists in a double-blinded fashion. (nature.com)

This requirement becomes more critical when the image data is imperfect, containing artefacts, low contrast, unspecific boundary appearance, etc. (zib.de)
Imaging is a dominant strategy for data collection in neuroscience, yielding stacks of images that often scale to gigabytes of data for a single experiment. (springer.com)
The data demonstrated a short learning duration (12-13 cases) and a moderate learning process (~15min time increase compared to later cases) upon adoption of the CAOS system, without high sensitivity to surgeon's experience level. (easychair.org)
In doing so, we established a client-server-based architecture, which is able to process medical data, especially 3D volumes. (springer.com)
However, limited availability of labeled data combined with the large size of PET/CT imaging exams make it challenging to apply existing supervised machine learning systems. (nature.com)
The availability of large, labeled data sets has fueled recent progress in machine learning for medical imaging. (nature.com)
The anatomical structure is depicted by a medical imaging data set. (justia.com)
The method includes obtaining a tree-structured segmentation of the anatomical structure in the medical imaging data set. (justia.com)
[ 1 , 2 ] With this conversion from legacy to digital imaging has emerged the need for a software strategy that allows the communication of patient, diagnostic, and other acquisition data along with the imaging information. (medscape.com)

Computed tomography scan, commonly known as CT scan, functions by gathering a series of X-ray images taken of the body from different angles and employs computer processing to generate cross-sectional images (slices) of the bones, blood vessels and soft tissues inside your body. (gleneagles.com.my)

A mammogram is a specialised medical imaging examination that uses low radiation-dose X-ray system to produces an image of your breast in which radiologists use to help detect and analyze the presence of lesions such as tumours, cysts and calcifications. (gleneagles.com.my)
The ability to detect edges aids in distinguishing different objects within an image, facilitating tasks like object recognition and classification. (juegoskizifriv.net)

IEEE transactions on medical imaging. (queensu.ca)
IEEE Transactions on Medical Imaging , 22(10):1185-1201, October 2003. (inria.fr)
IEEE Transactions on Medical Imaging , 22(9):1120-30, September 2003. (inria.fr)

This further facilitates developments in medical imaging, enabling this robust technology to attain extensive scopes in biomedical engineering platform. (hindawi.com)

The database aggregates 676,803 anatomical segmentation masks derived from images which have been processed using the HybridGNet model to ensure consistent, high-quality segmentation. (physionet.org)

a free, non-commercial open science client-server framework for (bio-)medical image analysis. (springer.com)
Our framework automatically labels each region in a custom ontology of anatomical regions, providing a structured profile of the pathologies in each imaging exam. (nature.com)

The user connects to the RPA via a webpage, completes a Service Request (prescription and information about the radiotherapy targets), and uploads the patient's CT image set. (bvsalud.org)
The patient's reluctance may be compounded by the clinician's hesitation to perform a surgical procedure in an unfamiliar location or anatomical site. (medscape.com)

2008 MICCAI Workshop - Augmented Environments for Medical Imaging and Computer-Aided Surgery (AMI-ARCS). (queensu.ca)

Various diagnostic techniques are used to analyze retinal microvasculature image to enable geometric features measurements such as vessel tortuosity, branching angles, branching coefficient, vessel diameter, and fractal dimension. (hindawi.com)
Following prescribed protocols, you will perform complex computed tomography imaging procedures in order to produce diagnostic images of the human anatomy and vascular structures. (experiencedalliedhealth.com)
For example, as laboratory testing is integrated with other diagnostic services, such as imaging and electrodiagnostics, the entire laboratory paradigm must change from one with an automated core laboratory with point-of-service rapid response and outlying satellite laboratories to one comprising a consolidated diagnostic center.1 Public health professionals must face these challenges head on by acquiring the knowledge and skills necessary to succeed in this new environment. (cdc.gov)

Computer-assisted, model-based planning procedures typically cover specific modifications of "virtual anatomy" as well as numeric simulations of associated phenomena, like e.g. mechanical loads, fluid dynamics, or diffusion processes, in order to evaluate a potential therapeutic outcome. (kobv.de)
Cortical bone is an important anatomical structure and its thickness needs to be determined prior to many dental procedures to ensure treatment success. (opendentistryjournal.com)
Pupils studying medicine or associated fields usually fight with visualizing intricate anatomical frameworks or physical procedures. (giantup.com)

The probabilistic connections to each cortex were mapped on entire mid-sagittal CC voxels that had anatomical homology between subjects as determined by spatial registration. (nih.gov)
Specifically, it would be possible that the anatomical substructures are arranged in one or more spatial sequences, i.e., next to each other in a type of chain. (justia.com)

Brain imaging techniques from microscopy such as serially-sectioned scanning electron microscopy (sSEM), high-energy synchrotron X-ray microtomography ( μ CT), and spectral confocal reflectance (SCoRe) microscopy provide high-quality images with nanoscale or single-neuron resolution. (springer.com)

In the present modern ophthalmological practice, biomarkers analysis through digital fundus image processing analysis greatly contributes to vision science. (hindawi.com)

8th Annual Meeting of Computer Assisted Orthopedic Surgery International (CAOS). (queensu.ca)
27 were randomised to receive a robotic assisted UKA and 22 to receive a manual implant surgery. (easychair.org)

IEEE Signal Process. (crossref.org)
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. (crossref.org)
In: Proceedings of the IEEE/CVF International Conference on Computer Vision. (crossref.org)
He is a member o Institute of Electronics, Information and Communication Engineering of Japan, Japanese Society of Biomedical Engineering, and Japanese Society of Medical Imaging Technology, MICCAI, IEEE, and SPIE. (ap-lab.ca)

These extracted markers or characterized fundus digital image features provide insights and relates quantitative retinal vascular topography abnormalities to various pathologies such as diabetic retinopathy, macular degeneration, hypertensive retinopathy, transient ischemic attack, neovascular glaucoma, and cardiovascular diseases. (hindawi.com)
Analysis of the human fundus eye images has become the key point for diagnosing the various pathologies of retinal vasculature. (hindawi.com)

Recently, Denoising Diffusion Probabilistic Model (DDPM) has become popular in this area due to its strong ability to generate high-fidelity images. (arxiv.org)
Our method can generate images with higher quality than NeRF-based models, and we obtain sample quality similar to other diffusion-based models but with only one-third of the model size. (arxiv.org)

Diffeomorphic mapping is the underlying technology for mapping and analyzing information measured in human anatomical coordinate systems which have been measured via Medical imaging[citation needed]. (wikipedia.org)
In a more general sense, diffeomorphic mapping is any solution that registers or builds correspondences between dense coordinate systems in medical imaging by ensuring the solutions are diffeomorphic. (wikipedia.org)
Diffeomorphic mapping 3-dimensional information across coordinate systems is central to high-resolution Medical imaging and the area of Neuroinformatics within the newly emerging field of bioinformatics. (wikipedia.org)

Note: Special Issue on Ultrasonic Image Processing and Analysis. (inria.fr)
Medical Image Analysis , 7(4):475-488, December 2003. (inria.fr)
The journal Medical Image Analysis published the initial results of this research in February. (cmu.edu)
A user study with medical and non-medical experts in medical image analysis was performed, to evaluate the usability and the manual functionalities of Studierfenster. (springer.com)
In this contribution, we presented an online environment for (bio-)medical image analysis. (springer.com)
Segmentation, for example, is typically the first step in a (bio-)medical image analysis pipeline. (springer.com)
However, automatic medical image segmentation is known to be one of the most complex problems in image analysis and is still an object of active research. (springer.com)
Medical Image Analysis , February 2014, 20 p. (inria.fr)
Medical image processing has been an active field of research for more than three decades, focusing initially on traditional image analysis tasks such as registration segmentation, fusion, and contrast optimization. (mdpi.com)
One of the most important subfields of biomedical engineering is the analysis of fundus retinal images. (hindawi.com)
Through advances in deep learning, the integration of automated analysis systems with radiologists' workflow has significantly alleviated the challenges posed by the scarcity of radiologists, enabling more efficient chest X-ray labeling processes and effectively addressing the high demand for their expertise [1,2]. (physionet.org)
In addition, this technique has been applied to other forms of analysis, including DNA image cytometry. (medscape.com)

This study developed an artificial intelligence (AI) solution to identify and delineate edentulous alveolar bone on CBCT images before implant placement. (thieme-connect.de)
Conclusion Segmentation of the edentulous spans on CBCT images was successfully conducted by machine learning with good accuracy compared to manual segmentation. (thieme-connect.de)

Montillo, A., Shotton, J., Winn, J., Iglesias, J.E., Metaxas, D., Criminisi, A.: Entangled Decision Forests and Their Application for Semantic Segmentation of CT Images. (crossref.org)
A label set includes one or more labels that provide a textual description of semantic context information of the anatomical structure. (justia.com)

We imaged two sets of serial TEM sections of the drosophila first instar larval brain neuropile and one ventral nerve cord segment, and here report our first results pertaining to Drosophila brain microcircuitry. (mdc-berlin.de)
After music is transduced by the ear and processed by the auditory cortex, signals are sent to multiple areas in the brain, such as the hippocampus and frontal lobe systems which are important for memory, the amygdala which is important for emotion, the cerebellar systems for motor control, and many more [ 2 ]. (wikidot.com)
A scientifically sound answer requires understanding the complex processing that takes place in the entire human visual pathway , including processing on the retina, in the Lateral Geniculate Nucleus, and by the visual cortex of the brain. (sigarch.org)
Accurate Automatic Glioma Segmentation in Brain MRI images Based on CapsNet. (cdc.gov)

The most common abnormalities involve the transverse ligament or odontoid process. (medscape.com)

Chest radiography, an indispensable tool for diagnosing lung diseases, faces challenges in image interpretation due to complex thoracic structures. (physionet.org)

Because ultrasound images are captured in real-time, they can show the structure and movement of the body's internal organs, as well as blood flowing through blood vessels or movement of joints or tendons in the musculoskeletal system. (gleneagles.com.my)

In 2008, Mehrotra et al emphasized the value of the brush biopsy technique in evaluating oral lesions without the aid of computer-assisted technology, although they reported marginally lower sensitivity and specificity. (medscape.com)

The research here is ultimately about teaching AI to process details in an ultrasound, including subtle details and extra information that humans typically don't see. (cmu.edu)

Anatomy2

Diseases2

Chemicals and Drugs7

Analytical, Diagnostic and Therapeutic Techniques and Equipment62

Psychiatry and Psychology3

Phenomena and Processes12

Disciplines and Occupations12

Anthropology, Education, Sociology and Social Phenomena3

Technology, Industry, Agriculture10

Humanities3

Information Science68

Health Care25

Magnetic Resonan8

Diagnosis13

Modalities6

Visualization6

Landmarks6

SPIE Medical Imaging3

Reconstruction8

Biomedical Imaging1

Cone-Beam Computed Tomography1

Modality6

Quantification3

Localization2

International Symposium3

Neural9

Structures in Medical Ima1

Algorithms9

Radiology6

Symposium2

Clinical14

Geometry1

Dataset3

Methods9

20212

Measurement5

20181

Detection11

Intervention4

Scans3

Reconstructions1

Manually2

CNNs1

Neuronal3

Radiologist1

Coronary2

Computational6

Datasets5

Data9

Slices1

Detect2

Transactions3

Facilitates1

Segmentation masks1

Framework2

Patient's2

MICCAI Workshop1

Diagnostic3

Procedures3

Spatial2

Confocal1

Biomarkers1

Surgery2

IEEE4

Pathologies2

Diffusion2

Coordinate3

Analysis12

CBCT2

Semantic2

Brain4

Abnormalities1

Indispensable1

Ultrasound images1

Oral lesions1

Typically1