Abstract #2841

New Multiple Sclerosis Lesion Segmentation in Longitudinal FLAIR MR Images using Subtraction Image

Junghwa Kang¹, Jeongmin Yim², Jinhee Jang³, and Yoonho Nam¹

¹Department of Biomedical engineering, Hankuk University of Foreign Studies, Yongin, Korea, Republic of, ²College of Medicine, The Catholic University of Korea, Seoul, Korea, Republic of, ³Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea, Republic of

Synopsis

Keywords: Multiple Sclerosis, Multiple Sclerosis, longitudinal MR, new lesionMeasurement of new lesions in longitudinal images is crucial in the evaluation of MS but is laborious and time-consuming. In this study, wWe investigate the effect of subtraction images between two time point FLAIR images on new MS lesion segmentation in longitudinal FLAIR images. The results showed that our method with combination of longitudinal FLAIR images and their subtraction images together helps to improve the accuracy of segmentation of new MS lesion.

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