Title :
Hierarchical object recognition in Pelvic CT images
Author :
Vasilache, S. ; Wenan Chen ; Ward, K. ; Najarian, K.
Author_Institution :
Dept. of Comput. Sci., Virginia Commonwealth Univ., Richmond, VA, USA
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.
Keywords :
bone; computerised tomography; image classification; image segmentation; medical image processing; active hemorrhage presence; active hemorrhage region; bone tissue recognition; bone tissue region; grey level values; hierarchical object recognition; image classification; image segmentation; pelvic CT images; Biomedical engineering; Biomedical imaging; Bone tissue; Computed tomography; Computer science; Deformable models; Hemorrhaging; Image segmentation; Injuries; Object recognition; Algorithms; Artificial Intelligence; Bone and Bones; Computer Graphics; Diagnostic Imaging; Hemorrhage; Humans; Image Processing, Computer-Assisted; Imaging, Three-Dimensional; Models, Statistical; Normal Distribution; Pattern Recognition, Automated; Pelvis; Tomography, X-Ray Computed;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
DOI :
10.1109/IEMBS.2009.5333419
