Construction of Abdominal Probabilistic Atlases and Their Value in Segmentation of Normal Organs in Abdominal CT Scans

Author:

PARK Hyunjin1,HERO Alfred2,BLAND Peyton3,KESSLER Marc4,SEO Jongbum5,MEYER Charles3

Affiliation:

1. Dept of Biomedical Engineering, Gachon Univ. of Medicine and Science

2. Dept of Electrical Engineering and Computer Science, University of Michigan

3. Dept of Radiology, University of Michigan

4. Dept of Radiation Oncology, University of Michigan

5. Dept of Biomedical Engineering, Yonsei University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference38 articles.

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2. [2] N. Passat, C. Ronse, J. Baruthio, J.P. Armspach, C. Maillot, and C. Jahn, “Semiautomated four-dimensional computed tomography segmentation using deformable models,” Med. Phys., vol.32, pp.2254-2261, 2005.

3. [3] M. Prastawa, J.H. Gilmore, W. Lin, and G. Gerig, “Automatic segmentation of MR images of the developing new born brain,” Med. Image Anal., vol.9, pp.457-466, 2005.

4. Construction of an abdominal probabilistic atlas and its application in segmentation

5. An Information Theoretic Approach for Non-rigid Image Registration Using Voxel Class Probabilities

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