Segmentation of Liver From 3D Medical Imaging Dataset for Diagnosis and Treatment Planning of Liver Disorders

Abstract

CT- and MRI-based imaging modalities are non-invasive, fast, and accurate in the diagnosis of different anatomical and pathological disorders. As such, there is a pertinent requirement for segmentation of the large organs such as liver and lungs to give proper visual information on the extent of involvement of morphological and pathological changes. The aim of this chapter is to discuss and implement different liver segmentation techniques on the 3D medical data set to determine best feasible technique for the purpose. The localization and detection of liver tumor will be easier for a radiologist with the extraction of the liver margins from other adjoining organs and its localization within the anatomical segments. It is found that active contour technique provides satisfactory results and also the validation results are well outlined in the case of active contour techniques.