Abstract
Dual-energy computed tomographic colonography (DE-CTC) provides detailed information about the chemical composition of colon that can be used to improve the accuracy of computer-aided detection (CAD). We investigated how to calculate a thick target region for volumetric detection of lesions in DE-CTC. After automated extraction of the region of colonic lumen, the target region is calculated by use of a distance-based scheme, where the image scale of the shape features that are used for the detection of lesion candidates is adapted to the thickness of the target region. False-positive (FP) detections are reduced by use of a random-forest classifier. The detection accuracy of the CAD scheme was evaluated at 5 thicknesses of the target region by use of a leave-one-patient-out evaluation with 23 clinical minimal-preparation DE-CTC cases including 27 lesions ≥6 mm in size. The results indicate that the optimal choice of thickness depends on the size and morphology of the target lesion. At optimal thickness, the per-patient sensitivity was 100% at 5 FP detections per patient on average, where the per-lesion sensitivity was 100% (94%) for lesions ≥10 mm (6 – 9 mm) in size. The results compare favorably with those of our previous approach.
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Näppi, J.J., Kim, S.H., Yoshida, H. (2012). Adaptive Volumetric Detection of Lesions for Minimal-Preparation Dual-Energy 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_4
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DOI: https://doi.org/10.1007/978-3-642-33612-6_4
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