Fuzzy multi-channel clustering with individualized spatial priors for segmenting brain lesions and infarcts

Evangelia I. Zacharaki, Guray Erus, Anastasios Bezerianos, Christos Davatzikos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Quantitative analysis of brain lesions and ischemic infarcts is becoming very important due to their association with cardiovascular disease and normal aging. In this paper, we present a semi-supervised segmentation methodology that detects and classifies cerebrovascular disease in multi-channel magnetic resonance (MR) images. The method combines intensity based fuzzy c-means (FCM) segmentation with spatial probability maps calculated from a normative set of images from healthy individuals. Unlike common FCM-based methods which segment only healthy tissue, we have extended the fuzzy segmentation to include patient-specific spatial priors for both pathological conditions (lesions and infarcts). These priors are calculated by estimating the statistical voxel-wise variation of the healthy anatomy, and identifying abnormalities as deviations from normality. False detection is reduced by knowledge-based rules. Assessment on a population of 47 patients from different imaging sites illustrates the potential of the proposed method in segmenting both hyperintense lesions and necrotic infarcts.

Original languageEnglish (US)
Title of host publicationArtificial Intelligence Applications and Innovations - AIAI 2012 International Workshops
Subtitle of host publicationAIAB, AIeIA, CISE, COPA, IIVC, ISQL, MHDW, and WADTMB, Proceedings
Pages76-85
Number of pages10
EditionPART 2
DOIs
StatePublished - Dec 17 2012
Event8th International Workshop on Artificial Intelligence Applications and Innovations, AIAI 2012: AIAB, AIeIA, CISE, COPA, IIVC, ISQL, MHDW, and WADTMB - Halkidiki, Greece
Duration: Sep 27 2012Sep 30 2012

Publication series

NameIFIP Advances in Information and Communication Technology
NumberPART 2
Volume382 AICT
ISSN (Print)1868-4238

Other

Other8th International Workshop on Artificial Intelligence Applications and Innovations, AIAI 2012: AIAB, AIeIA, CISE, COPA, IIVC, ISQL, MHDW, and WADTMB
CountryGreece
CityHalkidiki
Period9/27/129/30/12

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Keywords

  • MRI
  • brain tissue segmentation
  • fuzzy clustering
  • infarcts
  • lesions
  • outlier detection

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management

Cite this

Zacharaki, E. I., Erus, G., Bezerianos, A., & Davatzikos, C. (2012). Fuzzy multi-channel clustering with individualized spatial priors for segmenting brain lesions and infarcts. In Artificial Intelligence Applications and Innovations - AIAI 2012 International Workshops: AIAB, AIeIA, CISE, COPA, IIVC, ISQL, MHDW, and WADTMB, Proceedings (PART 2 ed., pp. 76-85). (IFIP Advances in Information and Communication Technology; Vol. 382 AICT, No. PART 2). https://doi.org/10.1007/978-3-642-33412-2_8