Hierarchical object recognition in Pelvic CT Images

Simina Vasilache; Wenan Chen; Kevin Ward; Kayvan Najarian

doi:10.1109/IEMBS.2009.5333419

Hierarchical object recognition in Pelvic CT Images

Annu Int Conf IEEE Eng Med Biol Soc. 2009:2009:3533-6. doi: 10.1109/IEMBS.2009.5333419.

Authors

Simina Vasilache¹, Wenan Chen, Kevin Ward, Kayvan Najarian

Affiliation

¹ Department of Computer Science at Virginia Commonwealth University, Richmond, VA 23284-3019, USA. [email protected]

PMID: 19964079
DOI: 10.1109/IEMBS.2009.5333419

Abstract

This paper introduces a hierarchical method of recognizing bone tissue from regions extracted from Pelvic CT Images. The method allows distinguishing among segmented objects with similar grey level values, such as bone tissue and regions of active hemorrhage. The method addresses the challenge of correctly segmenting and classifying bone as well as assessing presence of active hemorrhage.

Publication types

Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

Algorithms
Artificial Intelligence
Bone and Bones / pathology
Computer Graphics
Diagnostic Imaging / methods
Hemorrhage / diagnosis
Humans
Image Processing, Computer-Assisted / methods*
Imaging, Three-Dimensional / methods
Models, Statistical
Normal Distribution
Pattern Recognition, Automated / methods
Pelvis / diagnostic imaging*
Tomography, X-Ray Computed / methods*