Automatic Breast Tissue Segmentation in MRI Scans

The performance of many methods of MRI-based computer-aided diagnosis of breast disease rely on accurate delineation of the breast boundary. This problem has been known to be a challenging one on the account of the complex composition of breast tissue and its extensive inter-subject variability. To...

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Bibliographic Details
Published inConference proceedings - IEEE International Conference on Systems, Man, and Cybernetics pp. 1572 - 1577
Main Authors Soleimani, Hossein, Michailovich, Oleg V.
Format Conference Proceeding
LanguageEnglish
Published IEEE 11.10.2020
Subjects
Breast MRI
Breast tissue
Dijkstra's algorithm
Image segmentation
Magnetic resonance imaging
Measurement
Muscles
Organizations
Robustness
whole breast segmentation
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Summary:The performance of many methods of MRI-based computer-aided diagnosis of breast disease rely on accurate delineation of the breast boundary. This problem has been known to be a challenging one on the account of the complex composition of breast tissue and its extensive inter-subject variability. To address this problem, this paper introduces a new approach to whole-breast segmentation which, as opposed to many existing solutions, can operate in the absence of any prior information on the patient-specific breast anatomy. The proposed algorithm takes advantage of Dijkstra's procedure which allows accurately tracking the boundary between the pectoralis muscle and breast tissue as well as between the breast and its background. The performance of the proposed method has been tested on in vivo MRI volumes and quantified in terms of several performance metrics. The experimental results demonstrate consistent and stable performance of the proposed algorithm in terms of its accuracy and robustness to imaging artefacts.
ISSN:2577-1655
DOI:10.1109/SMC42975.2020.9282847