Mammographic segmentation based on mammographic parenchymal patterns and spatial moments

Wenda He, E. R. E. Denton, R. Zwiggelaar

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

6 Citations (SciVal)

Abstract

Strong evidence shows that characteristic patterns of breast tissues as seen on mammography, referred to as mammographic parenchymal patterns, provide crucial information about breast cancer risk. Quantitative evaluation of the characteristic mixture of breast tissues can be used as for mammographic risk assessment as well as for quantification of change of the relative proportion of different breast tissue patterns. This paper investigates mammographic segmentation based on spatial moments and prior information of mammographic building blocks (i.e. nodular, linear, homogenous, and radiolucent) as described by Taba¿r's tissue models to describe parenchymal patterns. The algorithm extracted texture features from a set of sub-sampled mammographic patches. Taba¿r's mammographic building blocks were modelled as statistical distribution of clustered filter responses based on spatial moments. Evaluation was based on the Mammographic Image Analysis Society (MIAS) database. The experimental results indicated that the developed methodology is capable of modelling complex mammographic images and can deal with intraclass variation and noise aspects. The results show realistic segmentation on tissue specific regions with respect to breast anatomy and Taba¿r's tissue models. In addition, the segmentation results were used for mammographic risk based classification of the entire MIAS database resulting in ~70% correct low/high risk classification.
Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Information Technology and Applications in Biomedicine, 5-7 November, Larnaca, Cyprus (2009).
ISBN (Electronic)978-1-4244-5379-5
DOIs
Publication statusPublished - 2009
Event9th International Conference on Information Technology and Applications in Biomedicine - Larnaca, Cyprus
Duration: 05 Nov 200907 Nov 2009

Conference

Conference9th International Conference on Information Technology and Applications in Biomedicine
Country/TerritoryCyprus
CityLarnaca
Period05 Nov 200907 Nov 2009

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