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13 March 2008Role of computer aided detection (CAD) integration: case study with meniscal and articular cartilage CAD applications
1Univ. of Maryland School of Medicine (United States) 2Univ. of Maryland Baltimore County (United States) 3VA Maryland Health Care System (United States)
Knee-related injuries involving the meniscal or articular cartilage are common and require accurate diagnosis and
surgical intervention when appropriate. With proper techniques and experience, confidence in detection of meniscal
tears and articular cartilage abnormalities can be quite high. However, for radiologists without musculoskeletal training,
diagnosis of such abnormalities can be challenging. In this paper, the potential of improving diagnosis through
integration of computer-aided detection (CAD) algorithms for automatic detection of meniscal tears and articular
cartilage injuries of the knees is studied. An integrated approach in which the results of algorithms evaluating either
meniscal tears or articular cartilage injuries provide feedback to each other is believed to improve the diagnostic
accuracy of the individual CAD algorithms due to the known association between abnormalities in these distinct
anatomic structures. The correlation between meniscal tears and articular cartilage injuries is exploited to improve the
final diagnostic results of the individual algorithms. Preliminary results from the integrated application are encouraging
and more comprehensive tests are being planned.
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Nabile Safdar, Bharath Ramakrishna, Ganesh Saiprasad, Khan Siddiqui, Eliot Siegel M.D., "Role of computer aided detection (CAD) integration: case study with meniscal and articular cartilage CAD applications," Proc. SPIE 6919, Medical Imaging 2008: PACS and Imaging Informatics, 69190J (13 March 2008); https://doi.org/10.1117/12.779304