TY - EJOUR
AU - Yussof, Wan Nural Jawahir Hj Wan
AU - Burkhardt, Hans
PY - 2024
DA - February
TI - Integration of Morphology and Graph-based Techniques for Fully Automatic Liver Segmentation
T2 - Majlesi Journal of Electrical Engineering
VL - 4
L1 - https://oiccpress.com/Majlesi-Journal-of-Electrical-Engineering/article/integration-of-morphology-and-graph-based-techniques-for-fully-automatic-liver-segmentation/
DO - 10.1234/mjee.v4i3.322
N2 - Here a fully 3D algorithm for automatic liver segmentation from CT volumetric datasets is presented. The algorithm starts by smoothing the original volume using anisotropic diffusion. The coarse liver region is obtained from the threshold process that is based on a priori knowledge. Then, several morphological operations is performed such as operating the liver to detach the unwanted region connected to the liver and finding the largest component using the connected component labeling (CCL) algorithm. At this stage, both 3D and 2D CCL is done subsequently. However, in 2D CCL, the adjacent slices are also affected from current slice changes. Finally, the boundary of the liver is refined using graph-cuts solver.  Our algorithm does not require any user interaction or training datasets to be used. The algorithm has been evaluated on 10 CT scans of the liver and the results are encouraging to poor quality of images.  
IS - 3
PB - OICC Press
KW - 3D Liver segmentation Graph-cuts. morphological operations, Image processing, Computer science, Computed Tomography 
EN -