Computerized method for detection of vertebral fractures on lateral chest radiographs based on morphometric data

Satoshi Kasai; Feng Li; Junji Shiraishi; Qiang Li; Christopher Straus; Tamara Vokes; Heber MacMahon; Kunio Doi

doi:10.1117/12.706533

30 March 2007 Computerized method for detection of vertebral fractures on lateral chest radiographs based on morphometric data

Satoshi Kasai, Feng Li, Junji Shiraishi, Qiang Li, Christopher Straus, Tamara Vokes, Heber MacMahon, Kunio Doi

Author Affiliations +

Proceedings Volume 6514, Medical Imaging 2007: Computer-Aided Diagnosis; 65141N (2007) https://doi.org/10.1117/12.706533
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

Vertebral fractures are the most common osteoporosis-related fractures. It is important to detect vertebral fractures, because they are associated with increased risk of subsequent fractures, and because pharmacologic therapy can reduce the risk of subsequent fractures. Although vertebral fractures are often not clinically recognized, they can be visualized on lateral chest radiographs taken for other purposes. However, only 15-60% of vertebral fractures found on lateral chest radiographs are mentioned in radiology reports. The purpose of this study was to develop a computerized method for detection of vertebral fractures on lateral chest radiographs in order to assist radiologists' image interpretation. Our computerized method is based on the automated identification of upper and lower vertebral edges. In order to develop the scheme, radiologists provided morphometric data for each identifiable vertebra, which consisted of six points for each vertebra, for 25 normals and 20 cases with severe fractures. Anatomical information was obtained from morphometric data of normal cases in terms of vertebral heights, heights of vertebral disk spaces, and vertebral centerline. Computerized detection of vertebral fractures was based on the reduction in the heights of fractured vertebrae compared to adjacent vertebrae and normal reference data. Vertebral heights from morphometric data on normal cases were used as reference. On 138 chest radiographs (20 with fractures) the sensitivity of our method for detection of fracture cases was 95% (19/20) with 0.93 (110/118) false-positives per image. In conclusion, the computerized method would be useful for detection of potentially overlooked vertebral fractures on lateral chest radiographs.

Citation Download Citation

Satoshi Kasai, Feng Li, Junji Shiraishi, Qiang Li, Christopher Straus, Tamara Vokes, Heber MacMahon, and Kunio Doi "Computerized method for detection of vertebral fractures on lateral chest radiographs based on morphometric data", Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 65141N (30 March 2007); https://doi.org/10.1117/12.706533

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