Combined Density, Texture and Shape Features of Multi phase Contrast Enhanced CT Images for CBIR of Focal Liver Lesions: A Preliminary Study
Recently, content based image retrieval (CBIR) in medical applications has attracted a lot of attentions. In this paper, we present a preliminary study on CBIR of focal liver lesions based on combined density, texture and shape features of multi phase contrast enhanced CT volumes. We improve the existing method from following two aspects: (1) in order to improve the retrieval accuracy, we propose a novel 3D shape feature for CBIR of liver lesions in addition to conventional density and texture features; (2) in order to reduce the computation time, we propose an improved local binary pattern, which is called imLBP, as the 3D texture feature. The effectiveness of our proposed method has been validated with real clinical datasets.