Fully automated longitudinal segmentation of new or enlarging Multiple Scleroses (MS) lesions using 3D convolution neural networks

J Krüger,R Opfer,N Gessert,A Ostwaldt,C Walker-Egger,P Manogaran,A Schlaefer,S Schippling

RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren101. Deutscher Röntgenkongress und 9. Gemeinsamer Kongress der DRG und ÖRG（2020）

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摘要

Zielsetzung The quantification of new and enlarging Multiple Scleroses (MS) lesions from follow-up MRI scans is an important surrogate of clinical disease activity. Manual assessment is time consuming, inter-rater (IR) variability is high, and only few fully automated methods are available so far.

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关键词

enlarging multiple scleroses,longitudinal segmentation,lesions,3d convolution

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