Renal segmentation in physiological feature space with dynamic contrast enhanced MR Urography: preliminary research

摘要

The kidney is composed of many structurally and functionally different tissues. These functionally distinct tissues exhibit different magnetic resonance signal characteristics in typical MR Urography. This work exploits the tissue functional differences to construct a physiological feature space for renal segmentation, which has the more distinct meaning for directly functional evaluation, and lower requirements for storage and computation. In this preliminary research, a segmentation method was developed and investigated to demonstrate its feasibility on images obtained using a typical MR Urograpy protocol.