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Erschienen in: International Journal of Computer Assisted Radiology and Surgery 4/2017

09.01.2017 | Original Article

Computer-assisted delineation of cerebral infarct from diffusion-weighted MRI using Gaussian mixture model

verfasst von: Manas Kumar Nag, Subhranil Koley, Debarghya China, Anup Kumar Sadhu, Ravikanth Balaji, Siddharth Ghosh, Chandan Chakraborty

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 4/2017

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Abstract

Purpose

Diffusion-weighted imaging (DWI) is a widely used medical imaging modality for diagnosis and monitoring of cerebral stroke. The identification of exact location of stroke lesion helps in perceiving its characteristics, an essential part of diagnosis and treatment planning. This task is challenging due to the typical shape of the stroke lesion. This paper proposes an efficient method for computer-aided delineation of stroke lesions from DWI images.

Method

Proposed methodology comprises of three steps. At the initial step, image contrast has been improved by applying fuzzy intensifier leading to the better visual quality of the stroke lesion. In the following step, a two-class (stroke lesion area vs. non-stroke lesion area) segmentation technique based on Gaussian mixture model has been designed for the localization of stroke lesion. To eliminate the artifacts which would appear during segmentation process, a binary morphological post-processing through area operator has been defined for exact delineation of the lesion area.

Result

The performance of the proposed methodology has been compared with the manually delineated images (ground truth) obtained from different experts, individually. Quantitative evaluation with respect to various performance measures (such as dice coefficient, Jaccard score, and correlation coefficient) shows the efficient performance of the proposed technique.

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Metadaten
Titel
Computer-assisted delineation of cerebral infarct from diffusion-weighted MRI using Gaussian mixture model
verfasst von
Manas Kumar Nag
Subhranil Koley
Debarghya China
Anup Kumar Sadhu
Ravikanth Balaji
Siddharth Ghosh
Chandan Chakraborty
Publikationsdatum
09.01.2017
Verlag
Springer International Publishing
Erschienen in
International Journal of Computer Assisted Radiology and Surgery / Ausgabe 4/2017
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-017-1520-x

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