Improved Diagnostic Process of Multiple Sclerosis Using Automated Detection and Selection Process in Magnetic Resonance Imaging

In this paper, we present a new method of displaying Magnetic Resonance (MR) images taken from Multiple Sclerosis (MS) patients. We show that our method can potentially make the diagnostic process far more focused and concise. The method is implemented as an algorithm-based application, which automa...

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Bibliographic Details
Main Authors: Dror Malka, Adi Vegerhof, Eyal Cohen, Mark Rayhshtat, Alex Libenson, Maya Aviv Shalev, Zeev Zalevsky
Format: Article
Language:English
Published: MDPI AG 2017-08-01
Series:Applied Sciences
Subjects:
MRI
Online Access:https://www.mdpi.com/2076-3417/7/8/831