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Journal of Medical Systems
Erschienen 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

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

Erschienen in: Journal of Medical Systems | Ausgabe 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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Metadaten
Titel
A Type-2 Fuzzy Image Processing Expert System for Diagnosing Brain Tumors
verfasst von
M. Zarinbal
M. H. Fazel Zarandi
I. B. Turksen
M. Izadi
Publikationsdatum
01.10.2015
Verlag
Springer US
Erschienen in
Journal of Medical Systems / Ausgabe 10/2015
Print ISSN: 0148-5598
Elektronische ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-015-0311-6

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