Compression gains in 2D MRCP biliary tree modeling
Rajasvaran Logeswaran · Nordic Signal Processing Symposium · 2004
MRCP images are used to analyze the biliary tract in the diagnosis of liver diseases. As with many medical imaging techniques, MRCP are taken as a large series of images, usually including an amount of surrounding tissue, organs and acquisition noise. To minimize the storage requirements of patient medical history archives, and provide some assistance in reducing the influence of distracting noise in MRCP images diagnosis, the ROI may be modeled. Compression is derived from the lesser size of the models, thus saving on limited storage resources. This paper presents the compression gains through a technique for modeling of the hierarchical biliary tree structure in 2D MRCP images.