Automatic hepatocellular carcinoma lesion detection with dynamic enhancement characteristic from multi-phase CT images

Gaeun Lee; Jieun Kim; June-Goo Lee; Geunhwi Ahn; Seong Ho Park; So Yeon Kim; Kyung Won Kim; Seung Soo Lee; Namkug Kim

doi:10.1117/12.2521021

27 March 2019 Automatic hepatocellular carcinoma lesion detection with dynamic enhancement characteristic from multi-phase CT images

Gaeun Lee, Jieun Kim, June-Goo Lee, Geunhwi Ahn, Seong Ho Park, So Yeon Kim, Kyung Won Kim, Seung Soo Lee, Namkug Kim

Author Affiliations +

Proceedings Volume 11050, International Forum on Medical Imaging in Asia 2019; 1105016 (2019) https://doi.org/10.1117/12.2521021
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore

Abstract

Hepatocellular Carcinoma (HCC) is a worldwide tumor, but the prognosis can be improved by early diagnosis. In contrast-enhanced CT, a modality commonly used for HCC diagnosis, HCC lesion represents dynamic enhancement patterns. To incorporate HCC dynamic characteristic in multi-phase into an automatic lesion detection system, multiphase CT images were aligned by using image registration scheme. The registered artery, portal venous and delayed phase images were merged into one RGB image. 2D based deep convolutional neural network (DCNN) detection model was trained and tested in total of 251 CT dataset. The performance of the proposed DCNN model with dynamic multiphase information showed a sensitivity of 93.88% in the false positives (FPs) of 2.98/patient in 52 test CT dataset. This result is better than the best performance among three single phase settings with sensitivity of 73.47% at 3.15 FPs/patient, indicating that the inclusion of dynamic information in multi-phase CT images is more effective in HCC detection.

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Gaeun Lee, Jieun Kim, June-Goo Lee, Geunhwi Ahn, Seong Ho Park, So Yeon Kim, Kyung Won Kim, Seung Soo Lee, and Namkug Kim "Automatic hepatocellular carcinoma lesion detection with dynamic enhancement characteristic from multi-phase CT images", Proc. SPIE 11050, International Forum on Medical Imaging in Asia 2019, 1105016 (27 March 2019); https://doi.org/10.1117/12.2521021

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