3D visualization and segmentation of organs in abdominal volume images are important in medical image processing for applications such as diagnosis, treatment and surgical planning. However, the abdominal wall leads to difficulties in both visualization and segmentation. These difficulties can be eliminated by removing the abdominal wall. This paper presents an algorithm that removes abdominal wall by registering a 3D flipping-free deformable model to the inner boundary of the wall. To our best knowledge, it is the first work in removing the abdominal wall for the purpose of 3D visualization and segmentation of the organs. Index Terms-3D deformable model, medical image segmentation, abdominal wall
Ding et al. REF proposed to use a Gaussian mixture model (GMM) to build the intensity value distribution of the abdominal wall, and a 3D flipping-free deformable model is adopted to expand iteratively to the inner boundary of the abdominal wall.
Removal of abdominal wall for 3D visualization and segmentation of organs in CT volume
2009 16th IEEE International Conference on Image Processing (ICIP)
2009 16th IEEE International Conference on Image Processing (ICIP)
Computer Science