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Studies from University of Occupational and Environmental Health Provide New Data on Multiple Sclerosis (Thin-slice Two-dimensional T2-weighted Imaging With Deep Learning-based Reconstruction: Improved Lesion Detection In the Brain of Patients...).

Studies from University of Occupational and Environmental Health Provide New Data on Multiple Sclerosis (Thin-slice Two-dimensional T2-weighted Imaging With Deep Learning-based Reconstruction: Improved Lesion Detection In the Brain of Patients...).

Source :
Medical Imaging Week; 2/9/2024, p6052-6052, 1p
Publication Year :
2024

Abstract

A report from the University of Occupational and Environmental Health in Fukuoka, Japan discusses the use of deep learning-based reconstruction (DLR) technique to improve the image quality of thin-slice 2D MRI for the detection of multiple sclerosis (MS) lesions. The researchers compared the diagnostic value of 1 mm-slice-thickness 2D T2-weighted imaging (T2WI) with DLR to conventional MRI in 42 MS patients. They found that MRI with 1 mm T2WI with DLR enabled increased MS lesion detection, particularly in the brain stem. The study suggests that this technique could be used in routine clinical practice. [Extracted from the article]

Details

Language :
English
ISSN :
15529355
Database :
Complementary Index
Journal :
Medical Imaging Week
Publication Type :
Periodical
Accession number :
175210774