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Journal of Medical Systems
Published in: Journal of Medical Systems 10/2015

01-10-2015 | Systems-Level Quality Improvement

A Type-2 Fuzzy Image Processing Expert System for Diagnosing Brain Tumors

Authors: M. Zarinbal, M. H. Fazel Zarandi, I. B. Turksen, M. Izadi

Published in: Journal of Medical Systems | Issue 10/2015

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Abstract

The focus of this paper is diagnosing and differentiating Astrocytomas in MRI scans by developing an interval Type-2 fuzzy automated tumor detection system. This system consists of three modules: working memory, knowledge base, and inference engine. An image processing method with three steps of preprocessing, segmentation and feature extraction, and approximate reasoning is used in inference engine module to enhance the quality of MRI scans, segment them into desired regions, extract the required features, and finally diagnose and differentiate Astrocytomas. However, brain tumors have different characteristics in different planes, so considering one plane of patient’s MRI scan may cause inaccurate results. Therefore, in the developed system, several consecutive planes are processed. The performance of this system is evaluated using 95 MRI scans and the results show good improvement in diagnosing and differentiating Astrocytomas.
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Metadata
Title
A Type-2 Fuzzy Image Processing Expert System for Diagnosing Brain Tumors
Authors
M. Zarinbal
M. H. Fazel Zarandi
I. B. Turksen
M. Izadi
Publication date
01-10-2015
Publisher
Springer US
Published in
Journal of Medical Systems / Issue 10/2015
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-015-0311-6

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