TomographyFMRIDiffusion Magnetic ResonanScanning transmissiArtifactsAngiography2022DiagnosticAbstractModalityAlgorithmsClinicalDiagnosisReconstructionRESONANCE IMAGESUltrasoundInterventionalPathologyPattern RecognitionStatisticalUltrafastTumorNanoparticlesPlanck InstituteAlgorithmSegmentationProceedingsAnatomicUltrahighSpatialNeuroimagingArtificial IntelligenceTechniquesRadiomicsDynamic processesCentreContrast MediaCoronalInhibitoryBehaviouralDataMotionMedicalAnalProspectively
Tomography5
- Journal of Computer Assisted Tomography. (wikipedia.org)
- 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)
- 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)
- DL has been applied across a variety of medical fields, driven by specialties that use magnetic resonance imaging, echocardiography, mammography, and computed tomography scans and therefore have large data sets of annotated images available. (cdc.gov)
FMRI9
- Here, we report two experiments that explore the relationships between instrumental and cognitive variables and the monofractal and multifractal parameters of functional magnetic resonance imaging (fMRI) data acquired in a no-task or resting state. (amsterdamumc.org)
- Multicentre studies have great appeal but face problems if functional magnetic resonance imaging (fMRI) data from different centres are to be combined. (elsevierpure.com)
- We have implemented a software toolbox, fMRI Sandbox (http://code.google.com/p/fmri-sandbox/), for semi-automated application of these processing steps that interfaces with SPM software. (ox.ac.uk)
- Whole-brain functional magnetic resonance imaging (fMRI), in conjunction with multiband acceleration, has played an important role in mapping the functional connectivity throughout the entire brain with both high temporal and spatial resolution. (ox.ac.uk)
- High-resolution 7T fMRI, however, has primarily been constrained to smaller brain regions given the amount of time it takes to acquire the number of slices necessary for high resolution whole brain imaging. (ox.ac.uk)
- Here we evaluate a range of whole-brain high-resolution resting state fMRI protocols (0.9, 1.25, 1.5, 1.6 and 2mm isotropic voxels) at 7T, obtained with both in-plane and slice acceleration parallel imaging techniques to maintain the temporal resolution and brain coverage typically acquired at 3T. (ox.ac.uk)
- In this study we use functional magnetic resonance imaging (fMRI) to identify the brain circuitry involved in the psychostimulant effect of methamphetamine in psychostimulant-naïve human subjects. (ox.ac.uk)
- Here we use fMRI to address the question of whether the written form affects brain processing of a word. (ox.ac.uk)
- This study used functional magnetic resonance imaging (fMRI) to investigate the neural mechanism mediating the relationship between inhibitory control and emotional devaluation. (ox.ac.uk)
Diffusion Magnetic Resonan2
- Joint correction for motion artifacts and off-resonance artifacts in multi-shot diffusion magnetic resonance imaging]. (ox.ac.uk)
- Aiming at motion artifacts and off-resonance artifacts in multi-shot diffusion magnetic resonance imaging (MRI), we proposed a joint correction method in this paper to correct the two kinds of artifacts simultaneously without additional acquisition of navigation data and field map. (ox.ac.uk)
Scanning transmissi1
- 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)
Artifacts1
Angiography2
- 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)
- Recent clinical studies report good correlation between Magnetic Resonance Coronary Angiography (MRCA) and conventional x-ray contrast angiography in the detection of coronary lesions. (ox.ac.uk)
20221
- Submitted to IEEE/ACM Transactions on Audio, Speech, and Language Processing , 2022. (uni-stuttgart.de)
Diagnostic8
- Operates equipment to produce diagnostic images and assists radiologist or physician with special procedures. (mosdb.com)
- Manages diagnostic imaging functions and activities. (mosdb.com)
- Operates fixed and portable radiographic equipment to produce routine diagnostic medical images. (mosdb.com)
- Performs and supervises general diagnostic imaging activities. (mosdb.com)
- Plans, organizes, and supervises diagnostic imaging activities. (mosdb.com)
- Coordinates on interdepartmental issues that interface with diagnostic imaging. (mosdb.com)
- Performs as the diagnostic imaging facility manger. (mosdb.com)
- This work makes considerations about Imageology or Diagnostic by image, a new area that is appearing on Dentistry. (bvsalud.org)
Abstract1
- abstract = "Fractal processes, like trees or coastlines, are defined by self-similarity or power law scaling controlled by a single exponent, simply related to the fractal dimension or Hurst exponent (H) of the process. (amsterdamumc.org)
Modality3
- Magnetic particle imaging (MPI) is an emerging medical imaging modality which is based on the non-linear response of magnetic nanoparticles to an applied magnetic field. (uni-luebeck.de)
- Post processing of bioimaging data, i.e., visualization and analysis, is essential to get useful results from imaging, regardless of modality. (lu.se)
- CT is the imaging modality of choice to assess pleural disease and has shown sensitivity and specificity for identifying malignancy. (medscape.com)
Algorithms2
- 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)
Clinical8
- With Axel Haase and Jens Frahm he succeeded in 1985 with the invention of rapid image proceedings FLASH MRI (fast low angle shot) a revolutionary breakthrough that allows the use of MRI imaging for clinical diagnosis. (wikipedia.org)
- Diffusion imaging-based subdivision of the human hypothalamus: A magnetic resonance study with clinical implications. (mpg.de)
- 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)
- Validation is performed on ground truth synthetic images and MRI phantoms, and a clinical study is reported. (ox.ac.uk)
- Magnetic Resonance Imaging (MRI) is a non-invasive imaging technique with increasing importance in clinical medicine. (ox.ac.uk)
- Myocardial perfusion imaging and stress-ventriculography for detection of wall motion abnormalities are reported as indirect imaging methods with high reliability and clinical value in the diagnosis of CAD. (ox.ac.uk)
- Clinical decision support models for oropharyngeal cancer treatment: design and evaluation of a multi-stage knowledge abstraction and formalization process. (cdc.gov)
- A clinical history of asbestos exposure and radiologic findings that are consistent with mesothelioma warrant inclusion of mesothelioma in the differential diagnosis, but it is important to stress that a diagnosis of mesothelioma cannot be made exclusively with imaging studies. (medscape.com)
Diagnosis5
- Current value of magnetic resonance imaging for diagnosis of coronary heart disease]. (ox.ac.uk)
- It has become a valuable and reliable imaging tool in the diagnosis and management of many medical and surgical conditions. (ox.ac.uk)
- The technology, through the advent of new equipments that allow imaging exams, has helped very much in the diagnosis and prognosis of diseases in Dentistry. (bvsalud.org)
- Early Diagnosis of Brain Tumour MRI Images Using Hybrid Techniques between Deep and Machine Learning. (cdc.gov)
- Most trials were designed to assist in treatment decision, diagnosis, or risk stratification. (cdc.gov)
Reconstruction6
- 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)
- Nevertheless, no reconstruction schemes presented thus far include a dynamical particle model for image reconstruction. (uni-luebeck.de)
- A first application of a model that accounts for relaxation effects in the reconstruction of MPI images is presented here in the form of a simplified, but well performing strategy for signal deconvolution. (uni-luebeck.de)
- But as the system matrix of MPI is non-sparse, the image reconstruction gets computationally demanding. (uni-luebeck.de)
- Therefore, currently only basic image reconstruction methods such as Tikhonov regularization are used. (uni-luebeck.de)
- He was diagnosed desmoid tumor of posterior cruciate ligament of the knee by intraoperative biopsy, and underwent successful PCL resection and reconstruction by Four-strand semitendinosus and gracilis tendon autograft arthroscopically, and fortunately five years after operation, there were no clues as to recurrence of the tumor examined by Magnetic Resonance Imaging (MRI). (medscape.com)
RESONANCE IMAGES2
Ultrasound1
- This model is successfully used in contour detection for object recognition, computer vision and graphics as well as biomedical image processing including X-ray, MRI and Ultrasound images. (utm.my)
Interventional2
- It is capable of generating real-time images, which will be useful in interventional procedures, without utilizing any harmful radiation. (uni-luebeck.de)
- Assists physicians with fluoroscopic, interventional, and special examinations. (mosdb.com)
Pathology1
- Examples of this are two- and three-dimensional visualizations, image segmentation, and the registration of all anatomical structure and pathology types. (springer.com)
Pattern Recognition2
Statistical1
- In functional magnetic resonance imaging statistical analysis there are problems with accounting for temporal autocorrelations when assessing change within voxels. (ox.ac.uk)
Ultrafast2
- Its applications in coronary artery disease (CAD) have been relatively limited, but recent developments in ultrafast imaging sequences and computer hardware have led to a considerable improvement in spatial and temporal image resolution. (ox.ac.uk)
- He currently uses ultrafast dynamic magnetic resonance imaging to study the map between the physiology of the vocal tract and the acoustic signal that emanates from it. (illinois.edu)
Tumor1
- Developing an efficient algorithm for automated Magnetic Resonance Imaging (MRI) segmentation to characterize tumor abnormalities in an accurate and reproducible manner is ever demanding. (utm.my)
Nanoparticles2
- It has been shown that magnetic particle imaging (MPI), an imaging method suggested in 2005, is capable of measuring the spatial distribution of magnetic nanoparticles. (uni-luebeck.de)
- The thing that makes nanoparticles so interesting for applications is that materials in nanosize have properties (optical, chemical, magnetic, biological, electrical, and mechanical) that are completely different from the properties of the same material in bulk. (lu.se)
Planck Institute1
- Matthaei worked at the University of Göttingen and at the Max Planck Institute for Nuclear magnetic resonance in biological systems. (wikipedia.org)
Algorithm1
- 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)
Segmentation7
- Intensity standardisation of 7T MR images for intensity-based segmentation of the human hypothalamus. (mpg.de)
- 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)
- We underscore a critical appraisal of the current status of semi-automated and automated methods for the segmentation of MR images with important issues and terminologies. (utm.my)
- Image Segmentation by Probabilistic Bottom-up Aggregation and Cue Integration. (utm.my)
- Topology Adaptive Deformable Surfaces for Medical Image Volume Segmentation. (utm.my)
- 1995. A Dynamic Finite Element Surface Model for Segmentation and Tracking in Multidimensional Medical Images with Application to Cardiac 4D Image Analysis. (utm.my)
Proceedings1
- Progress in Biomedical Optics and Imaging - Proceedings of SPIE. (nyu.edu)
Anatomic1
- Positions patient to image desired anatomic structures. (mosdb.com)
Ultrahigh1
- Ultrahigh magnetic field strengths (7T and above) allow functional imaging with even higher functional contrast-to-noise ratios for improved spatial resolution and specificity compared to traditional field strengths (1.5T and 3T). (ox.ac.uk)
Spatial3
- Using the processing pipeline developed by the Human Connectome Project, we demonstrate that high resolution images acquired at 7T provide increased functional contrast to noise ratios with significantly less partial volume effects and more distinct spatial features, potentially allowing for robust individual subject parcellations and descriptions of fine-scaled patterns, such as visuotopic organization. (ox.ac.uk)
- We have developed a Gaussian-process-based prior to apply adaptive spatial regularization while still ensuring that the fixed biophysical prior is correctly applied on each voxel. (ox.ac.uk)
- 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)
Neuroimaging1
- Psychiatric neuroimaging techniques are likely to improve understanding of the brain in health and disease, but studies tend to be small, based in one imaging centre and of unclear generalisability. (elsevierpure.com)
Artificial Intelligence2
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). (nyu.edu)
- In current times, an increasing volume of health-related data is generated from sources such as biosensors, health data registries, genome sequencing, and electronic health records, necessitating increasing integration with computers capable of analyzing complex data with the assistance of artificial intelligence (AI). (cdc.gov)
Techniques6
- He was looking for a scientific development of NMR techniques based on magnetic resonance imagery. (wikipedia.org)
- 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)
- Performs image subtraction and manipulation techniques. (mosdb.com)
- 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)
- The goal is to bring together leading experts in the field of flows of soft materials, with a particular focus on neutrons and X-rays, but also complementary techniques including NMR, confocal microscopy, theory and computer modeling. (lu.se)
- Shear and extensional flow fields are ubiquitous in the manufacture, processing and use of these everyday materials and yet, typical experimental techniques, like small angle scattering, only provide information about the quiescent or time-averaged state. (lu.se)
Radiomics1
- Classification of Parkinson's disease using a region-of-interest- and resting-state functional magnetic resonance imaging-based radiomics approach. (cdc.gov)
Dynamic processes1
- It is an important feature of MPI that even fast dynamic processes can be captured for 3D volumes. (uni-luebeck.de)
Centre1
Contrast Media1
- Prepares and assists with contrast media administration. (mosdb.com)
Coronal1
- MRI provides better delineation of soft tissues (better soft-tissue contrast) and allows imaging in the sagittal and coronal planes. (medscape.com)
Inhibitory2
Behavioural2
- Both the functional imaging and behavioural results were in good accord with the existing literature. (elsevierpure.com)
- We used behavioural measures and functional magnetic resonance imaging to investigate the response to experimental thermal stimuli in healthy women, in both a natural and COCP-induced low endogenous estradiol state, to investigate whether alterations in central pain processing may underlie these observations in COCP users. (ox.ac.uk)
Data7
- In doing so, we established a client-server-based architecture, which is able to process medical data, especially 3D volumes. (springer.com)
- Snakes being deformable well-defined curves in the image domain can move under the influence of internal forces and external forces are subsequently derived from the image data. (utm.my)
- We utilized the proposed method using multi-shot variable density spiral sequence to acquire MRI data and used auto-focusing technique for image deblurring. (ox.ac.uk)
- A more recent branch of ML is deep learning (DL), which allows computational models to extract high-level representations of data through multiple layers of data processing. (cdc.gov)
- Our mission is to help users get the most out of their imaging data! (lu.se)
- We have several image analysis software packages suitable for both small and large data sets, ranging from brightfield, confocal to super resolution and light sheet. (lu.se)
- For a more detailed description of the survey design, data collection procedures, and the estimation process, see references 1 and 2. (cdc.gov)
Motion2
Medical9
- 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)
- Since the particles can be administered as biocompatible suspensions, this method promises to perform well as a tracer-based medical imaging technique. (uni-luebeck.de)
- IEEE Transactions on Medical Imaging , 34 (2), 644-651. (uni-luebeck.de)
- 1996. Deformable Models in Medical Image Analysis: A Survey. (utm.my)
- Medical Image Analysis. (elsevierpure.com)
- IEEE Transactions on Medical Imaging , 36 (1), 74-85. (uni-luebeck.de)
- The registration method based on mutual information is currently a popular technique for the medical image registration, but the computation for the mutual information is complex and the registration speed is slow. (unboundmedicine.com)
Anal1
- Image Anal. (utm.my)
Prospectively1
- 40,000 cerebral points from 824 magnetic resonance scans acquired prospectively on 223 children with ADHD and 223 typically developing controls. (ox.ac.uk)