Journal of magnetic resonance imaging : JMRI
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J Magn Reson Imaging · Oct 2019
Deep convolutional neural networks with multiplane consensus labeling for lung function quantification using UTE proton MRI.
Ultrashort echo time (UTE) proton MRI has gained popularity for assessing lung structure and function in pulmonary imaging; however, the development of rapid biomarker extraction and regional quantification has lagged behind due to labor-intensive lung segmentation. ⋯ 2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2019;50:1169-1181.
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J Magn Reson Imaging · Oct 2019
Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images.
The usefulness of 3D deep learning-based classification of breast cancer and malignancy localization from MRI has been reported. This work can potentially be very useful in the clinical domain and aid radiologists in breast cancer diagnosis. ⋯ 4 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2019;50:1144-1151.
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Accurate measurement of the liver iron concentration (LIC) is needed to guide iron-chelating therapy for patients with transfusional iron overload. In this work, we investigate the feasibility of automated quantitative susceptibility mapping (QSM) to measure the LIC. ⋯ 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:725-732.
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Measuring T1ρ in the knee menisci can potentially be used as noninvasive biomarkers in detecting early-stage osteoarthritis (OA). ⋯ 2 Technical Efficacy Stage: 1 J. Magn. Reson. Imaging 2019. J. Magn. Reson. Imaging 2019;50:824-835.