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Abstract #1373

Deep learning based automated white matter lesion detection for MS and NMOSD: a retrospective multicenter study

Yajing Zhang1, Weiwei Jiang1, Zhizheng Zhuo2, Yunyun Duan2, and Yaou Liu2
1Philips Healthcare, Suzhou, China, 2Beijing Tiantan Hospital, Capital Medical University, Beijing, China

Multiple sclerosis (MS) and neuromyelitis optical spectrum disorders (NMOSD) are common demyelination diseases in central neural system. With increasingly used MR examinations in clinical practice, the detection and delineation of white matter lesions is helpful to the calculation of total lesion volume, which is of great significance to clinical treatment planning. However, manual delineation is time-consuming to the clinicians and may lead to poor repeatability. In this work, we employed deep learning method to establish a tool for WM lesion delineation of MS and NMOSD routine MRI data from multiple centers.

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