AIMC Topic: Magnetic Resonance Imaging
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An artificial-intelligence-based age-specific template construction framework for brain structural analysis using magnetic resonance images.
Human brain mapping
Oct 21, 2022
It is an essential task to construct brain templates and analyze their anatomical structures in neurological and cognitive science. Generally, templates constructed from magnetic resonance imaging (MRI) of a group of subjects can provide a standard r...
Completion of disconnective surgery for refractory epilepsy in pediatric patients using robot-assisted MRI-guided laser interstitial thermal therapy.
Journal of neurosurgery. Pediatrics
Oct 21, 2022
OBJECTIVE: Since 2007, the authors have performed 34 hemispherotomies and 17 posterior quadrant disconnections (temporoparietooccipital [TPO] disconnections) for refractory epilepsy at Sant Joan de Déu Barcelona Children's Hospital. Incomplete discon...
Brain Age Prediction: A Comparison between Machine Learning Models Using Brain Morphometric Data.
Sensors (Basel, Switzerland)
Oct 21, 2022
Brain structural morphology varies over the aging trajectory, and the prediction of a person's age using brain morphological features can help the detection of an abnormal aging process. Neuroimaging-based brain age is widely used to quantify an indi...
Deep learning-based imaging reconstruction for MRI after neoadjuvant chemoradiotherapy for rectal cancer: effects on image quality and assessment of treatment response.
Abdominal radiology (New York)
Oct 19, 2022
PURPOSE: To investigate the effects of deep learning-based imaging reconstruction (DLR) on the image quality of MRI of rectal cancer after chemoradiotherapy (CRT), and its accuracy in diagnosing pathological complete responses (pCR).
Improving myocardial pathology segmentation with U-Net++ and EfficientSeg from multi-sequence cardiac magnetic resonance images.
Computers in biology and medicine
Oct 19, 2022
BACKGROUND: Myocardial pathology segmentation plays an utmost role in the diagnosis and treatment of myocardial infarction (MI). However, manual segmentation is time-consuming and labor-intensive, and requires a lot of professional knowledge and clin...
A high-performance method of deep learning for prostate MR-only radiotherapy planning using an optimized Pix2Pix architecture.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Oct 19, 2022
PURPOSE: The first aim was to generate and compare synthetic-CT (sCT) images using a conditional generative adversarial network (cGAN) method (Pix2Pix) for MRI-only prostate radiotherapy planning by testing several generators, loss functions, and hyp...
Towards Image Guided Magnetic Resonance Elastography via Active Driver Positioning Robot.
IEEE transactions on bio-medical engineering
Oct 19, 2022
UNLABELLED: Magnetic Resonance Elastography (MRE) is a developing imaging technique that enables non-invasive estimation of tissue mechanical properties through the combination of induced mechanical displacements in the tissue and Magnetic Resonance ...
Technical note: A method to synthesize magnetic resonance images in different patient rotation angles with deep learning for gantry-free radiotherapy.
Medical physics
Oct 18, 2022
BACKGROUND: Recently, patient rotating devices for gantry-free radiotherapy, a new approach to implement external beam radiotherapy, have been introduced. When a patient is rotated in the horizontal position, gravity causes anatomic deformation. For ...
Deep, deep learning with BART.
Magnetic resonance in medicine
Oct 18, 2022
PURPOSE: To develop a deep-learning-based image reconstruction framework for reproducible research in MRI.
Functional magnetic resonance imaging, deep learning, and Alzheimer's disease: A systematic review.
Journal of neuroimaging : official journal of the American Society of Neuroimaging
Oct 18, 2022
Alzheimer's disease (AD) is currently diagnosed using a mixture of psychological tests and clinical observations. However, these diagnoses are not perfect, and additional diagnostic tools (e.g., MRI) can help improve our understanding of AD as well a...
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