Journal of magnetic resonance imaging : JMRI
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J Magn Reson Imaging · Apr 2021
ReviewArtificial Intelligence for MR Image Reconstruction: An Overview for Clinicians.
Artificial intelligence (AI) shows tremendous promise in the field of medical imaging, with recent breakthroughs applying deep-learning models for data acquisition, classification problems, segmentation, image synthesis, and image reconstruction. With an eye towards clinical applications, we summarize the active field of deep-learning-based MR image reconstruction. ⋯ Recent efforts in these areas show that deep-learning-based algorithms can match and, in some cases, eclipse conventional reconstruction methods in terms of image quality and computational efficiency across a host of clinical imaging applications, including musculoskeletal, abdominal, cardiac, and brain imaging. This article is an introductory overview aimed at clinical radiologists with no experience in deep-learning-based MR image reconstruction and should enable them to understand the basic concepts and current clinical applications of this rapidly growing area of research across multiple organ systems.
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J Magn Reson Imaging · Apr 2021
MRI Texture-Based Models for Predicting Mitotic Index and Risk Classification of Gastrointestinal Stromal Tumors.
Treatment regimens and prognoses of gastrointestinal stromal tumors (GIST) are quite different for tumors in different risk categories. Accurate preoperative grading of tumors is important for avoiding under- or overtreatment. ⋯ 3.
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J Magn Reson Imaging · Apr 2021
Radiomics Analysis Based on Multiparametric MRI for Predicting Early Recurrence in Hepatocellular Carcinoma After Partial Hepatectomy.
Preoperative prediction of early recurrence (ER) of hepatocellular carcinoma (HCC) plays a critical role in individualized risk stratification and further treatment guidance. ⋯ Stage 4.
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J Magn Reson Imaging · Apr 2021
EditorialPerformance Comparison of Compressed Sensing Algorithms for Accelerating T1ρ Mapping of Human Brain.
3D-T1ρ mapping is useful to quantify various neurologic disorders, but data are currently time-consuming to acquire. ⋯ 1.
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J Magn Reson Imaging · Mar 2021
Decoupling of Gray and White Matter Functional Networks in Medication-Naïve Patients With Major Depressive Disorder.
Major depressive disorder (MDD) has been increasingly conceptualized as a disconnection syndrome. However, most studies have only focused on functional connectivity (FC) alterations in gray matter (GM), and the functional alterations in white matter (WM) remain largely unknown in MDD. ⋯ Stage 3.