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
Semiautomatic carotid intraplaque hemorrhage volume measurement using 3D carotid MRI.
Presence of intraplaque hemorrhage (IPH) is a known risk factor for stroke and plaque progression. Accurate and reproducible measurement of IPH volume are required for further risk stratification. ⋯ IPH volume measurements on SNAP MRI are highly reproducible using semiautomatic measurement. Level of Evidence 2 Technical Efficacy Stage 2 J. Magn. Reson. Imaging 2019;50:1055-1062.
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J Magn Reson Imaging · Oct 2019
3D-T1ρ prepared zero echo time-based PETRA sequence for in vivo biexponential relaxation mapping of semisolid short-T2 tissues at 3 T.
In addition to the articular cartilage, osteoarthritis (OA) affects several other tissues such as tendons, ligaments, and subchondral bone. T1ρ relaxation study of these short T2 tissues may provide a more comprehensive evaluation of OA. ⋯ 2 Technical Efficacy Stage: 1 J. Magn. Reson. Imaging 2019;50:1207-1218.
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J Magn Reson Imaging · Oct 2019
Investigating GABA concentrations measured with macromolecule suppressed and unsuppressed MEGA-PRESS MR spectroscopy and their relationship with BOLD responses in the occipital cortex.
A combination of magnetic resonance spectroscopy (MRS) and functional (f)MRI is a promising method for studying brain activity. Negative results have, however, produced uncertainty as to the validity of the approach. Using a MEGA-PRESS sequence adapted to suppress the macromolecule signal (GABA-) has been suggested as a key methodological improvement, but there is some doubt as to the relationship between such estimates and those from the standard sequence (GABA+), making interpretation difficult. ⋯ 1 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2019;50:1285-1294.
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J Magn Reson Imaging · Oct 2019
Accuracy of deep learning to differentiate the histopathological grading of meningiomas on MR images: A preliminary study.
Grading of meningiomas is important in the choice of the most effective treatment for each patient. ⋯ 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:1152-1159.