Locate the Superficial Femoral Artery with Occlusion by Deep Neural Network Correcting Interpolation

In clinical practice, doctors usually use computed tomography angiography (CTA) to examine lower extremity atherosclerotic occlusive (ASO). Conveniently and accurately locating occlusive superficial femoral artery (SFA) which is difficult to extract from CTA can facilitate diagnosis and surgery. This paper proposed a method locating the occlusive SFA from CTA conveniently. The proposed method first takes control points at a certain interval to bicubic interpolate, and then feeds image patches generated based on the interpolation results to deep neutral network (DNN) to obtain vessel center points. The final location error is less than 9 pixels, which meets the requirements of clinical assessment accuracy. It can be used to assist the diagnosis and surgery of ASO.