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Proceedings Paper

Creating a semantic lesion database for computer-aided MR mammography
Author(s): Xiaogang Wang; Anne Martel
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Paper Abstract

This work presents the creation of a semantic lesion database which will support research into computer-aided lesion detection (CAD) in breast screening MRI. As an adjunct to conventional X-ray mammography, MR-mammography has become a popular screening tool for women with a high risk of breast cancer because of its high sensitivity in detecting malignancy. To address the needs of research and development into CAD for breast MRI an integrated tool has been designed to collect all lesion related information, conduct quantitative analysis, and then present crucial data to clinicians and researchers. A lesion database is an essential component of this system as it provides a link between the DICOM database of MR images and the meta-information contained in the Electronic Patient Record. The patient history, radiology reports from MRI screening visits and pathology reports are all collected, dissected, and stored in a hierarchical structure in the database. Moreover, internal links between pathology specimens and the location of the corresponding lesion in the image are established allowing diagnostic information to be displayed alongside the relevant images. If "ground truth" for an imaging visit can be established either by biopsy or by 2-year follow-up, then the case is labeled as suitable for use in training and testing CAD algorithms. At present a total of 1882 lesions (benign/malignant), 200 pathology specimens over 405 subjects and 1794 screening (455 CAD studies) are included in the database. As well as providing an excellent resource for CAD development this also has potential applications in resident radiologists' training and education.

Paper Details

Date Published: 16 February 2012
PDF: 7 pages
Proc. SPIE 8319, Medical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 83190X (16 February 2012); doi: 10.1117/12.911299
Show Author Affiliations
Xiaogang Wang, Sunnybrook Research Institute (Canada)
Anne Martel, Sunnybrook Research Institute (Canada)
Univ. of Toronto (Canada)

Published in SPIE Proceedings Vol. 8319:
Medical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications
William W. Boonn; Brent J. Liu, Editor(s)

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