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Proceedings Paper

Toward a standard reference database for computer-aided mammography
Author(s): Júlia E. E. Oliveira; Mark O. Gueld; Arnaldo de A. Araújo; Bastian Ott; Thomas M. Deserno
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Paper Abstract

Because of the lack of mammography databases with a large amount of codified images and identified characteristics like pathology, type of breast tissue, and abnormality, there is a problem for the development of robust systems for computer-aided diagnosis. Integrated to the Image Retrieval in Medical Applications (IRMA) project, we present an available mammography database developed from the union of: The Mammographic Image Analysis Society Digital Mammogram Database (MIAS), The Digital Database for Screening Mammography (DDSM), the Lawrence Livermore National Laboratory (LLNL), and routine images from the Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen. Using the IRMA code, standardized coding of tissue type, tumor staging, and lesion description was developed according to the American College of Radiology (ACR) tissue codes and the ACR breast imaging reporting and data system (BI-RADS). The import was done automatically using scripts for image download, file format conversion, file name, web page and information file browsing. Disregarding the resolution, this resulted in a total of 10,509 reference images, and 6,767 images are associated with an IRMA contour information feature file. In accordance to the respective license agreements, the database will be made freely available for research purposes, and may be used for image based evaluation campaigns such as the Cross Language Evaluation Forum (CLEF). We have also shown that it can be extended easily with further cases imported from a picture archiving and communication system (PACS).

Paper Details

Date Published: 27 March 2008
PDF: 9 pages
Proc. SPIE 6915, Medical Imaging 2008: Computer-Aided Diagnosis, 69151Y (27 March 2008); doi: 10.1117/12.770325
Show Author Affiliations
Júlia E. E. Oliveira, Aachen Univ. of Technology (Germany)
Federal Univ. of Minas Gerais (Brazil)
Mark O. Gueld, Aachen Univ. of Technology (Germany)
Arnaldo de A. Araújo, Federal Univ. of Minas Gerais (Brazil)
Bastian Ott, Aachen Univ. of Technology (Germany)
Thomas M. Deserno, Aachen Univ. of Technology (Germany)

Published in SPIE Proceedings Vol. 6915:
Medical Imaging 2008: Computer-Aided Diagnosis
Maryellen L. Giger; Nico Karssemeijer, Editor(s)

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