Title: Building a simulated educational environment for the diagnosis of lumbar disk herniation using axial view MRI scans

Authors: Mohammad A. Alsmirat; Khaled Alawneh; Mahmoud Al-Ayyoub; Mays Al-dwiekat

Addresses: Department of Computer Science, Jordan University of Science and Technology, Jordan ' Department of Diagnostic and Interventional Radiology and Nuclear Medicine, Jordan University of Science and Technology, Jordan ' Department of Computer Science, Jordan University of Science and Technology, Jordan ' Department of Computer Science, Jordan University of Science and Technology, Jordan

Abstract: Computer-aided diagnosis systems have been the focus of many research endeavours. In addition to being a great asset for any hospital, such systems represent invaluable platforms for educational and research purposes. In this work, we propose a system for the diagnosis and training on the diagnosis of lumbar disk herniation from magnetic resonance imaging (MRI) scans. The proposed system has three main novel contributions. First, it utilises the axial MRI spine view of the suspected region instead of using MRI sagittal spine view. Second, instead of simply classifying cases as normal or abnormal, the proposed system is capable of determining the type of lumbar disk herniation and pinpoints its location. The final contribution is the simulated training environment that can be used to train novice radiologists on the diagnosis of lumbar disk herniation. Our experiments show that it is quick and accurate besides being very useful for training purposes.

Keywords: axial MRI spine view; classification; computer-aided diagnosis; CAD; feature extraction; lumbar disk herniation; ROI enhancement; ROI extraction.

DOI: 10.1504/IJAIP.2022.124315

International Journal of Advanced Intelligence Paradigms, 2022 Vol.22 No.3/4, pp.295 - 317

Received: 11 Feb 2017
Accepted: 25 Aug 2017
Published online: 22 Jul 2022 *

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