Abstract
Studies have indicated that the acquisition parameters of computed tomography (CT) scans can have significant effect on the accuracy of computer-aided detection (CAD) in CT colonography. We investigated whether these parameters can be used as external features with conventional image-based features to improve CAD performance. A CAD scheme was trained with the CT colonography data of 886 patients, and it was tested with an independent set of 705 CT colonography cases. The results indicate that some CT acquisition parameters can be used successfully as features of the detected lesion candidates for improving the detection accuracy of CAD for flat lesions and carcinomas.
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Näppi, J.J., Rockey, D., Regge, D., Yoshida, H. (2012). Application of CT Acquisition Parameters as Features in Computer-Aided Detection for CT Colonography. In: Yoshida, H., Hawkes, D., Vannier, M.W. (eds) Abdominal Imaging. Computational and Clinical Applications. ABD-MICCAI 2012. Lecture Notes in Computer Science, vol 7601. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33612-6_8
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DOI: https://doi.org/10.1007/978-3-642-33612-6_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33611-9
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