AIMC Topic:
Magnetic Resonance Imaging
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Multimodality MRI synchronous construction based deep learning framework for MRI-guided radiotherapy synthetic CT generation.
Computers in biology and medicine
May 22, 2023
Synthesizing computed tomography (CT) images from magnetic resonance imaging (MRI) data can provide the necessary electron density information for accurate dose calculation in the treatment planning of MRI-guided radiation therapy (MRIgRT). Inputting...
msQSM: Morphology-based self-supervised deep learning for quantitative susceptibility mapping.
NeuroImage
May 21, 2023
Quantitative susceptibility mapping (QSM) has been applied to the measurement of iron deposition and the auxiliary diagnosis of neurodegenerative disease. There still exists a dipole inversion problem in QSM reconstruction. Recently, deep learning ap...
Deep learning regressor model based on nigrosome MRI in Parkinson syndrome effectively predicts striatal dopamine transporter-SPECT uptake.
Neuroradiology
May 20, 2023
PURPOSE: Nigrosome imaging using susceptibility-weighted imaging (SWI) and dopamine transporter imaging using I-2β-carbomethoxy-3β-(4-iodophenyl)-N-(3-fluoropropyl)-nortropane (I-FP-CIT) single-photon emission computerized tomography (SPECT) can eval...
Ultrafast Brain MRI Protocol at 1.5 T Using Deep Learning and Multi-shot EPI.
Academic radiology
May 19, 2023
RATIONALE AND OBJECTIVES: To evaluate clinical feasibility and image quality of a comprehensive ultrafast brain MRI protocol with multi-shot echo planar imaging and deep learning-enhanced reconstruction at 1.5T.
Comparison of evaluation metrics of deep learning for imbalanced imaging data in osteoarthritis studies.
Osteoarthritis and cartilage
May 19, 2023
PURPOSE: To compare the evaluation metrics for deep learning methods that were developed using imbalanced imaging data in osteoarthritis studies.
Accuracy of robot-assisted stereotactic MRI-guided laser ablation in children with epilepsy.
Journal of neurosurgery. Pediatrics
May 19, 2023
OBJECTIVE: Robot-assisted (RA) stereotactic MRI-guided laser ablation has been reported to be a safe and effective technique for the treatment of epileptogenic foci in children and adults. In this study the authors aimed to assess the accuracy of RA ...
Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study.
IEEE transactions on bio-medical engineering
May 19, 2023
OBJECTIVE: Convolutional neural networks (CNNs) have demonstrated promise in automated cardiac magnetic resonance image segmentation. However, when using CNNs in a large real-world dataset, it is important to quantify segmentation uncertainty and ide...
Reduction in Radiologist Interpretation Time of Serial CT and MR Imaging Findings with Deep Learning Identification of Relevant Priors, Series and Finding Locations.
Academic radiology
May 18, 2023
RATIONALE AND OBJECTIVES: Finding comparison to relevant prior studies is a requisite component of the radiology workflow. The purpose of this study was to evaluate the impact of a deep learning tool simplifying this time-consuming task by automatica...
Sequence based local-global information fusion framework for vertebrae detection under pathological and FOV variation challenges.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
May 18, 2023
Automated vertebrae detection (identification and localization) aims to identify vertebrae and locate their centroids in medical images, which is a critical step of spinal computer-aided systems. However, due to unpredictable field-of-view and variou...
Automated 3-dimensional MRI segmentation for the posterosuperior rotator cuff tear lesion using deep learning algorithm.
PloS one
May 18, 2023
INTRODUCTION: Rotator cuff tear (RCT) is a challenging and common musculoskeletal disease. Magnetic resonance imaging (MRI) is a commonly used diagnostic modality for RCT, but the interpretation of the results is tedious and has some reliability issu...
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