Computer aided monitoring of breast abnormalities in X-ray mammograms

SELVAN, Arul, SAATCHI, Reza and FERRIS, Christine (2011). Computer aided monitoring of breast abnormalities in X-ray mammograms. In: Medical image understanding and analysis 2011. MIUA.

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    Abstract

    X­ray mammography is regarded as the most effective tool for the detection and diagnosis of breast cancer, but the interpretation of mammograms is a difficult and error­prone task. Computer­aided detection (CADe) systems address the problem that radiologists often miss signs of cancers that are retrospectively visible in mammograms. Furthermore, computer­aided diagnosis (CADx) systems assist the radiologist in the classification of mammographic lesions as benign or malignant [1]. This paper details a novel alternative system namely computer­aided monitoring (CAM) system. The designed CAM system can be used to objectively measure the properties of a suspected abnormal area in a mammogram. Thus it can be used to assist the clinician to objectively monitor the abnormality. For instance its response to treatment and consequently its prognosis. The designed CAM system is implemented using the Hierarchical Clustering based Segmentation (HCS) [2] [3] [4] process. Brief description of the implementation of this CAM system is as follows : Using the approximate location and size of the abnormality, obtained from the user, the HCS process automatically identifies the more appropriate boundaries of the different regions within a region of interest (ROI), centred at the approximate location. From the set of, HCS process segmented, regions the user identifies the regions which most likely represent the abnormality and the healthy areas. Subsequently the CAM system compares the characteristics of the user identified abnormal region with that of the healthy region; to differentiate malignant from benign abnormality. In processing sixteen mammograms from mini­MIAS [5], the designed CAM system demonstrated a success rate of 100% in differentiating malignant from benign abnormalities.

    Item Type: Book Section
    Additional Information: Online conference proceedings of the Medical Image Analysis and Understanding 2011, held at Guy's Campus of King's College London,14-15 July 2011.
    Research Institute, Centre or Group: Materials and Engineering Research Institute > Centre for Robotics and Automation > Mobile Machine and Vision Laboratory
    Related URLs:
    Depositing User: Arul Selvan
    Date Deposited: 23 Aug 2011 12:33
    Last Modified: 23 Aug 2011 12:33
    URI: http://shura.shu.ac.uk/id/eprint/3793

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