Abstract
The current procedure of renal cortex segmentation is subjective and tedious. This chapter introduces an automated framework for renal cortex segmentation on contrast-enhanced abdominal CT images. The framework consists of four parts: first, an active appearance model (AAM) is built using a set of training images; second, the AAM is refined by live wire (LW) method to initialize the shape and location of the kidney; third, an iterative graph cut-oriented active appearance model (IGC-OAAM) method is applied to segment the kidney; Finally, the identified kidney contour is used as shape constraints for renal cortex segmentation which is also based on IGC-OAAM. The chapter also discusses several other state-of-art techniques for segmentation and modeling of the kidneys.
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Chen, X., Xiang, D., Ju, W., Zhao, H., Yao, J. (2014). Renal Cortex Segmentation on Computed Tomography. In: El-Baz, A., Saba, L., Suri, J. (eds) Abdomen and Thoracic Imaging. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-8498-1_3
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