Bone segmentation and 3D visualization of CT images for traumatic pelvic injuries

Author:

Wu Jie1,Belle Ashwin23,Hargraves Rosalyn H4,Cockrell Charles52,Tang Yang5,Najarian Kayvan63

Affiliation:

1. Department of Computer Science; Virginia Commonwealth University; VA

2. Virginia Commonwealth University Reanimation Engineering Science Center; Virginia Commonwealth University; VA

3. Michigan Center for Integrative Research in Critical Care (M-CIRCC); University of Michigan; MI

4. Department of Electrical and Computer Engineering; Virginia Commonwealth University; VA

5. Department of Radiology; Virginia Commonwealth University; VA

6. Department of Emergency Medicine; University of Michigan; MI

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Reference29 articles.

1. Predictors of positive angiography in pelvic fractures: A prospective study;Ali;J Am Coll Surgeons,2008

2. Shape matching and object recognition using shape contexts;Belongie;IEEE Trans Pattern Anal Mach Intell,2002

3. Bureau of Labor Statistics National census of fatal occupational injuries in 2011, U.S. Department of Labor, September 2012

4. CDC Report, Access to trauma centers in the United States 2009

5. Automated ventricular systems segmentation in brain CT images by combining low-level segmentation and high level template matching;Chen;BMC Med Inform Decis Making,2009

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