Abstract #4607

An automated lesion detection method on hepatic hemangioma and hepatic cyst using fully convoluted network

Yajing Zhang¹, Mo Shen¹, Yin Guo², Huiyu Qiao², Qian Jiang¹, Sussi Wang¹, and Yi Yang³

¹Philips Healthcare (Suzhou) Co. Ltd., Suzhou, China, ²Biomedical engineering, Tsinghua University, Beijing, China, ³Radiology, second affiliated hospital of Soochow University, Suzhou, China

Hepatic hemangioma and hepatic cyst are two kinds of common benign liver diseases. MR has been widely used for their diagnosis due to its significance of detection on small lesions. This study proposes a deep learning based method to detect the lesion of hemangioma and cyst on MR dynamic contrast-enhanced images. The results show good alignment of automated detection boundary with the actual lesion boundary for both lesion types.

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