Image processing computer assisted. Medical search. Frequent questions

Furthermore, this article is limited to real images (optically formed), as opposed to "synthetic" (computed) images (computed tomography, confocal microscopy, SIM and other super resolution microscopy techniques, etc. (wikipedia.org)
The results can be scanned using film radiography, computer-assisted radiography, computed tomography. (hindawi.com)
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)

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 gray scale thresholding process is used to perform image segmentation, segregating out the particles from the background, creating a binary image of each particle. (wikipedia.org)
However, as the paper's authors highlighted, image features still need to be robust against differences in acquisition, reconstruction, and segmentation to ensure reproducibility. (nature.com)
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)
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)
These would allow the clinician to distinguish parts of the segmentation that are reliable, from parts which have been estimated from a prior shape knowledge, instead of the underlying image. (zib.de)
In contrast to SSMs, CNNs can process segmentation masks without the need to create corresponding triangular meshes. (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)
Methods: This paper proposes a user-guided brain tumour segmentation from MRI (Magnetic Resonance Imaging) images. (researchgate.net)
Anatomy segmentation is the key step before extracting the radiomic features from these images. (researchgate.net)
In this work, we propose an FCL framework for volumetric medical image segmentation with limited annotations. (arxiv.org)
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)
His research focuses on the development of innovative image processing methods, algorithms, and software systems for computer-assisted diagnostics, with particular emphasis on medical image processing (classification and segmentation), deep learning, machine learning, and AI. (edu.au)
Examples of this are two- and three-dimensional visualizations, image segmentation, and the registration of all anatomical structure and pathology types. (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)
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)

Doi, K.: Computer-aided diagnosis in medical imaging: Historical review, current status and future potential. (crossref.org)
In the same frame of reference, computer-aided diagnosis method is a very important research approach that replaces the human expert in the classification of the weld defects for a neutral, nonsubjective, and less expensive way. (hindawi.com)
The 3D geometry of anatomical structures facilitates computer-assisted diagnosis and therapy planning. (zib.de)
Research Interests are Medical imaging and image processing, Treatment planning systems in radiation therapy, Cancer diagnosis using CT/MR. (researchgate.net)
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)
Predicting the Need for Biopsy to Detect Clinically Significant Prostate Cancer in Patients with a Magnetic Resonance Imaging-detected Prostate Imaging Reporting and Data System/Likert ≥3 Lesion: Development and Multinational External Validation of the Imperial Rapid Access to Prostate Imaging and Diagnosis Risk Score. (cdc.gov)
So, the FDA asked the expert panel to discuss a series of questions related to how the agency should weigh the risks of computer-aided devices for melanoma diagnosis. (medscape.com)

Given the above, the primary method for imaging particle analysis is using optical microscopy. (wikipedia.org)
An image processing system was programmed to automatically track and digitize the movement of amebae under phase-contrast microscopy. (uni-regensburg.de)
Since such structures have been difficult to study by standard crystallographic and magnetic resonance techniques, we are developing direct imaging techniques of such purified complexes using high powered scanning transmission electron microscopy. (utoronto.ca)
Early demonstrative applications have included the imaging of the red hemoglobin, mercury orange, red chlorin e6 and the green fluorophore FITC, imaging with the colours that are normally used in light microscopy, but here obtaining a 200-fold better spatial detail (5). (utoronto.ca)

Digital radiography can be used in dentistry as a substitute of the conventional system which uses radiographic film for the attainment of diagnostic images. (bvsalud.org)
If compared with the conventional system, digital radiography presents advantages such as shorter amount of time for the acquirement of images, possibility of an enhancement of the image quality after the exposure to the x-rays and less exposure of the patients to the x-rays. (bvsalud.org)

Although the actual algorithms for performing digital image processing had been around for some time, it was not until the significant computing power needed to perform these analyses became available at reasonable prices that digital imaging techniques could be brought to bear in the mainstream. (wikipedia.org)
The measurements saved for each particle are then used to generate image population statistics, or as inputs to algorithms for filtering and sorting the particles into groups of similar types. (wikipedia.org)
If it is a digital camera or a frame grabber is present, the image can now be saved in digital format, and image processing algorithms can be used to isolate particles in the field of view and measure them. (wikipedia.org)
Automatic algorithms for image analysis have thus become an invaluable tool in medicine. (springer.com)

Guest editor, J Math Imaging Vis on Discrete Geometry and Mathematical Morphology , Springer 2022. (uu.se)
of the Workshop on Biomedical Image Registration, WBIR 2022. (uu.se)

Background: While transmitting the medical images in radiology information systems the adversary effect can break the CIA (Confidentiality, Integrity, and Availability) triads of information security. (researchgate.net)
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)

Co-editor, Combinatorial Image Analysis , Springer 2020. (uu.se)
In International Workshop on Simulation and Synthesis in Medical Imaging, 2020. (jhu.edu)
In International Society for Optics and Photonics: Image Processing, 2020. (jhu.edu)

In International Conference on Information Processing in Medical Imaging, 2021. (jhu.edu)

Various imaging modalities are able to depict various anatomical structures. (zib.de)
Imaging Modalities for Biological and Preclinical Research: A Compendium, Volume 2, (Ed. A. Walter, J. G. Mannheim, C. J. Caruana. (uu.se)

What is Signal Processing? (signalprocessingsociety.org)
The technology we use, and even rely on, in our everyday lives -computers, radios, video, cell phones - is enabled by signal processing. (signalprocessingsociety.org)
Signal Processing with Adaptive Sparse Structured Representations Workshop (SPARS). (uni-heidelberg.de)
Now, computational methodologies of signal processing and analyses, namely considering 2D, 3D and 4D images, are commonly used in different applications of our society. (up.pt)
In nerve conduction studies and EMG, signal processing with computers can aid in waveform analysis, compound muscle action potentials (CMAP) and sensory nerve action potentials (SNAP) measurements, and amplitude and area quantitative measurements. (medscape.com)

The main objective of this work is to explore the capacity of AlexNet and different pretrained architecture with transfer learning for the classification of X-ray images. (hindawi.com)
This classification is a process of categorization, where objects are recognized and understood. (hindawi.com)
Certainly, the classification of images will be in the coming years because it is a well-known field of computer vision. (hindawi.com)
Advances in digital image processing, and classification techniques have made CARRS feasible for meeting screening, research and development, and clinical requirements. (cdc.gov)
Both are computer-aided skin-lesion classification devices meant to help clinicians assess cases of suspected melanoma. (medscape.com)

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)

Zheng, Y., Georgescu, B., Comaniciu, D.: Marginal Space Learning for Efficient Detection of 2D/3D Anatomical Structures in Medical Images. (crossref.org)
Unlabelled: Chest X-Ray (CXR) images provide most anatomical details and the abnormalities on a 2D plane. (researchgate.net)
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)

To reduce inter- and intra-reader variability in diagnosing chest radiographs, a neural network-based computer-aided diagnostic system was developed and tested. (cdc.gov)

Imaging particle analysis is a technique for making particle measurements using digital imaging, one of the techniques defined by the broader term particle size analysis. (wikipedia.org)
Imaging particle analysis uses the techniques common to image analysis or image processing for the analysis of particles. (wikipedia.org)
The first dynamic imaging particle analysis system was patented in 1982. (wikipedia.org)
The basic process by which imaging particle analysis is carried out is as follows: A digital camera captures an image of the field of view in the optical system. (wikipedia.org)
Digital image processing techniques are used to perform image analysis operations, resulting in morphological and grey-scale measurements to be stored for each particle. (wikipedia.org)
Intriguingly, the most important radiomic features in our PCA-based analysis were the most robust features extracted on the GAN-super-resolved images. (nature.com)
Recently, medical image analysis has been revolutionized by available large-scale datasets and technology advancements in statistics and artificial intelligence. (nature.com)
Introduction-Computer-assisted analysis of multimodal image data. (uu.se)
Staring from January 2017, I work in the Image Analysis and Communications Lab (IACL) as a research assistant advised by Dr. Jerry Prince . (jhu.edu)
Teaching Assistant, EN 520.414/520.614 Image Processing and Analysis I, The Johns Hopkins University. (jhu.edu)
Teaching Assistant, EN 520.433/520.623 Medical Image Analysis, The Johns Hopkins University. (jhu.edu)
However, in medical imaging analysis, each site may only have a limited amount of data and labels, which makes learning ineffective. (arxiv.org)
For instances, fully automatic or semi-automatic Computational Vision systems have been increasing used in surveillance tasks, traffic analysis, recognition processes, inspection purposes, human-machine interfaces, 3D vision and deformation analysis. (up.pt)
a free, non-commercial open science client-server framework for (bio-)medical image analysis. (springer.com)
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)
In the past few decades, image-based analysis of radiological datasets has gone through a remarkable period of rapid technological innovation. (springer.com)
Computers are useful devices for processing electrical signals from various sources, such as ECG for detection of heart dysrhythmias and EEG for analysis and detection of spike and sharp waves that can sometimes be missed by the neurologist. (medscape.com)
For example, processing of spatially distributed patterns of brain activation in fMRI data sets using computerized analysis helps determine pathophysiology of many neurologic disorders and define functional structures of the brain. (medscape.com)
The Computer-assisted Chest Radiograph Reader System (CARRS) applies recognized principles in the psychophysics of human vision , incorporates neural network-based image analysis and integrates these with a graphical user interface. (cdc.gov)
Thacker defined surveillance system as "the ongoing and systematic collection, analysis and interpretation of health data in the process of describing and monitoring a health event" (Thacker. (who.int)
In addition, this technique has been applied to other forms of analysis, including DNA image cytometry. (medscape.com)

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)

Computational methodologies of image processing and analyses, namely for 2D, 3D and 4D datasets, are commonly used in different application of our society. (up.pt)

Proceeding of: 12th workshop on Augmented Environments for Computer-Assisted Interventions AE-CAI 2018, held in conjunction with MICCAI 2018, in Granada, Spain on September 16th. (uc3m.es)

Medical Computer Vision. (crossref.org)
It combines a thorough understanding of the functioning of the human body and the influence of disease processes with an equally comprehensive understanding of medical technology and professional medical procedures. (tudelft.nl)
Medical image data provides the basis for reconstructions of such geometries. (zib.de)
Computer-based medical systems (automation in medicine, etc. (wikicfp.com)
Background: Obtaining the right image dataset for the medical image research systematically is a tedious task. (researchgate.net)
For instance, it is possible to use statistical or physical procedures on medical images in order to model the imaged structures. (up.pt)
The main objective of these ECCOMAS Thematic Conferences on Computational Vision and Medical Image Processing is to promote a comprehensive forum for discussion on the recent advances in the related fields trying to identify widespread areas of potential collaboration between researchers of different sciences. (up.pt)
VipIMAGE 2019 will bring together in Porto, Portugal, several researchers from around the world representing different fields of study related to Computational Vision or Medical Image Processing, with invited lecturers from top level international researchers, maintaining the same high scientific quality of the previous six editions. (up.pt)
In doing so, we established a client-server-based architecture, which is able to process medical data, especially 3D volumes. (springer.com)
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)
Furthermore, applications in entirely non-medical research in which images/volumes need to be processed are also thinkable, such as those in optical measuring techniques, astronomy, or archaeology. (springer.com)
Medical informatics is most simply defined as computer applications in medical care. (medscape.com)
For excellent patient education resources, see eMedicineHealth's patient education articles Family Medical Records, CT Scan, Magnetic Resonance Imaging (MRI), Understanding X-rays, Electrocardiogram (ECG), and Electromyography (EMG). (medscape.com)
Image processing and pattern recognition are important fields in medical informatics, specifically in neuroinformatics as an emerging domain for CT scanning, MRI of the brain, and other new techniques such as SPECT and PET scanning and functional MRI (fMRI). (medscape.com)
The report advocated adoption of the computer-based patient record (CPR) as standard medical practice. (medscape.com)

He then continued his academic journey by receiving a Master of Information Science and Technology (Computer Science) degree from Universiti Kebangsaan Malaysia (UKM) in 2019, where he distinguished himself as a promising young scholar. (edu.au)

The group generally comprises physics and engineering students interested in instrument development or image processing improvements, as well as biochemists and biologists working on specific important biological applications using the techiques being developed. (utoronto.ca)
In this paper, we introduced two methods of ultrasound elastomicroscopy using water jet and osmosis loading for imaging the elasticity of biological soft tissues with high resolutions. (who.int)

In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. (crossref.org)

IEEE Signal Process. (crossref.org)
In: Proceedings of the IEEE/CVF International Conference on Computer Vision. (crossref.org)
Ieee Trans Med Imaging , 31 (12), 2355-2365. (duke.edu)
Ieee Trans Med Imaging 31, no. 12 (December 2012): 2355-65. (duke.edu)

These achievements pave the way for the application of GAN-based image Super-Resolution techniques for studies of radiomics for robust biomarker discovery. (nature.com)

The current findings highlight the importance of future research to better understand the effects of stress on brain development in multiple regions, including the corpus callosum, hippocampus, and other regions involved in emotion processing. (nih.gov)
Diffusion-weighted Imaging (DWI) is a non-invasive imaging technique based on Magnetic Resonance Imaging (MRI) principles to measure water diffusivity and reveal details of the underlying brain micro-structure. (frontiersin.org)
On one hand, conventional structural MRI sequences, such as T1- and T2-weighted images, can provide valuable morphological details of the brain and pathological conditions. (frontiersin.org)
12 proposed a two-step GAN-based DA approach that generates and refines brain Magnetic Resonance (MR) images with/without tumors separately. (nature.com)

Julieta Aguilera holds a second MFA in Electronic Visualization from the University of Illinois, Chicago, where she was part of the Electronic Visualization Laboratory (EVL) collaborative program in Art and Computer Science. (teks.no)

I am currently a third year PhD student in the Department of Electrical and Computer Engineering at the Johns Hopkins University. (jhu.edu)
M.S.E. in Electrical and Computer Engineering, The Johns Hopkins University , USA. (jhu.edu)

However, time constraints in clinical practice lead to low angular resolution diffusion imaging (LARDI) acquisitions that can cause inaccurate FA value estimates when compared to those generated from high angular resolution diffusion imaging (HARDI) acquisitions. (frontiersin.org)

Imaging particle analyzers can be subdivided into two distinct types, static and dynamic, based upon the image acquisition methods. (wikipedia.org)
While the basic principles are the same, the methods of image acquisition are different in nature, and each has advantages and disadvantages. (wikipedia.org)

While this significantly speeded up the acquisition of particle measurements, it was still a tedious, labor-intensive process, which not only made it difficult to measure statistically significant particle populations, but also still introduced some degree of human error to the process. (wikipedia.org)
However, it is tedious, time consuming and subjective to examine all images especially in a screening program. (duke.edu)

In addition to providing microenvironmental support for hematopoietic processes, BM-MSCs can differentiate into various mesodermal lineages including osteoblast/osteocyte, chondrocyte, and adipocyte that are crucial for bone metabolism. (bvsalud.org)

AI-assisted biparametric MRI surveillance of prostate cancer: feasibility study. (cdc.gov)

Parametric images of volume of distribution (Vd) were generated as the ratio of tissue to plasma radioactivities. (unige.ch)

Lecture Notes in Computer Science, vol 13438. (arxiv.org)

Dr. Lu's research integrates imaging-based characterization and multiscale/multiphysics modeling techniques to unravel the link between the composition, microstructure, and performance of heterogeneous transportation infrastructure materials under various environmental and mechanical loads. (boisestate.edu)
Access to imagery from new sources, the increasing amount and complexity of visual data, and novel data processing techniques which are now in human reach are stretching our understanding to the point where we need to make sense of interdependent visual patterns which correspond to living systems and dynamic phenomena at multiple pattern and time scales. (teks.no)
Have 7+ years of corporate experience in the cross functional areas of Research and Development (CT Imaging and Radiation Oncology Solutions ), good knowledge of treatment planning systems, Treatment delivery techniques, Clinical workflow, DICOM RT, Physics-imaging-clinical applications of CT, MRI AND PET, all phases of Software Development Life Cycle. (researchgate.net)
This article presents an overview of dental radiographs and some of the techniques that still cause interest within the research community developed to assure the authenticity, trustworthiness and integrity of the attainment, transmission and storage of digital images. (bvsalud.org)
The objective is that the dentists obtain knowledge about this new option of attainment of diagnosed images and becomes aware of some of the digital data protection's alternatives such as cryptography techniques and digital signatures, Digital Imaging and Communication in Medicine and the principles of digital watermarking. (bvsalud.org)
However, the use of T scores at different sites and with different techniques has been controversial because intersite and intermodality correlation has been poor (see the images below). (medscape.com)

Magnetic Resonance Imaging (MRI) is a non-invasive imaging technique based on the principles of Nuclear Magnetic Resonance to reconstruct detailed images of the internal structure of the human body. (frontiersin.org)
The service (currently developed in the framework of IAEVA, a Telematics Application Programme project of the European Union), incorporates a mechanism for retrieving from a relational database (reference library) 3D volumetric models of human organs reconstructed from computer tomography (CT) and/or magnetic resonance imaging (MRI). (port.ac.uk)

By fitting a tensor model to quantify the directionality of water diffusion a Diffusion Tensor Image (DTI) can be derived and scalar measures, such as fractional anisotropy (FA), can then be estimated from the DTI to summarise quantitative microstructural information for clinical studies. (frontiersin.org)
Each set of images at different gradient directions can be summarised using a Diffusion Tensor Imaging (DTI) model to uncover microstructural information by describing water's directionality and its corresponding quantitative anisotropy ( 2 ). (frontiersin.org)

Contrastive Learning of Equivariant Image Representations for Multimodal Deformable Registration. (uu.se)

Static image acquisition is the most common form. (wikipedia.org)
In static image acquisition only one field of view image is captured at a time. (wikipedia.org)

Animation is a process that involves creating a series of drawings called frames that move in sequence to create the illusion of movement on the screen. (americaswire.org)

sponsoring of algorithm knowledge, database building for specific applications, some computer related acquisitions such as software and databases. (lu.se)

You're essentially taking a scalpel out of the surgeon's hand and you're putting a computer image-guided therapy in place that is more precise than human skill is capable of. (fusfoundation.org)

Based on the annotations, an algorithm automatically segmented the image and extracted all features resulting in one set of features for each reader. (mcmaster.ca)

For deep learning applications, a large amount of X-ray images is required, but there are few datasets of pipeline welding defects. (hindawi.com)

For this, we have enhanced our dataset focusing on two types of defects and augmented using data augmentation (random image transformations over data such as translation and reflection). (hindawi.com)
This requirement becomes more critical when the image data is imperfect, containing artefacts, low contrast, unspecific boundary appearance, etc. (zib.de)
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)
More specifically, we exchange the features in the FCL pre-training process such that diverse contrastive data are provided to each site for effective local CL while keeping raw data private. (arxiv.org)
The end objective of biomedical informatics is the integration of data, knowledge, and tools necessary to apply that data and knowledge in the decision-making process associated with patient care. (medscape.com)
Information Management Systems), which allow for collection and processing of large data sets. (lu.se)
The Moderate Resolution Imaging Spectroradiometer (MODIS) data available on CDC WONDER are daytime and nighttime geographically aggregated land surface temperatures (LST) spanning the years 2003-2008. (cdc.gov)
The Request screen has sections to guide you through the making a data request as a step-by-step process. (cdc.gov)
Or export your data to a file (tab-delimited line listing) for download to your computer. (cdc.gov)

The robotic assisted group showed biomechanical benefits over the manual group for walking tasks. (easychair.org)

Finally, beginning roughly in the late 1970s, CCD digital sensors for capturing images and computers which could process those images, began to revolutionize the process by using digital imaging. (wikipedia.org)

To tackle this limitation and facilitate clinical interpretation, the Image Biomarker Standardization Initiative 2 produced and validated the reference values for commonly-used radiomic features. (nature.com)
Therefore, we aim to apply image Super-Resolution (SR) to increase the number of voxels used in the computation of radiomic features. (nature.com)

Since the digitized images are characterized with poor quality and low contrast, weld defect inspection could become a challenging task. (hindawi.com)

Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image Representations. (uu.se)

DI-fusion Setting up of an original computer-assisted methodology to. (ac.be)
Setting up of an original computer-assisted methodology to characterize in vitro drug-induced anti-angiogenic effects. (ac.be)

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