Semiautomatic construction of 3D medical image-segmentation processes

We describe a GUI-based system called INTERSEG that can define 3D radiological image-segmentation processes. Using INTERSEG's GUI interface, the user first defines interactively some problem cues, which specify a segmentation task. Then, INTERSEG uses the cues to automatically construct a process for the task. The process consists of automatic image-processing operations, such as image enhancement, image segmentation, shape analysis, and measurement. With other systems the user must resort to trial- and-error experimentation to construct such processes.

[1]  J.L. Coatrieux,et al.  Future trends in 3D medical imaging , 1990, IEEE Engineering in Medicine and Biology Magazine.

[2]  E L Ritman,et al.  Extraction of left-ventricular chamber from 3-D CT images of the heart. , 1990, IEEE transactions on medical imaging.

[3]  W E Higgins,et al.  Interactive morphological watershed analysis for 3D medical images. , 1993, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[4]  W. A. Hanson,et al.  Interactive 3D segmentation of MRI and CT volumes using morphological operations. , 1992, Journal of computer assisted tomography.

[5]  David H. Eberly,et al.  Interacting with image hierarchies for fast and accurate object segmentation , 1994, Medical Imaging.