Fracture Detection in Traumatic Pelvic CT Images
Joint Authors
Davuluri, Pavani
Ward, Kevin R.
Najarian, Kayvan
Wu, Jie
Cockrell, Charles H.
Hargraves, Rosalyn Hobson
Source
International Journal of Biomedical Imaging
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-01-04
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Fracture detection in pelvic bones is vital for patient diagnostic decisions and treatment planning in traumatic pelvic injuries.
Manual detection of bone fracture from computed tomography (CT) images is very challenging due to low resolution of the images and the complex pelvic structures.
Automated fracture detection from segmented bones can significantly help physicians analyze pelvic CT images and detect the severity of injuries in a very short period.
This paper presents an automated hierarchical algorithm for bone fracture detection in pelvic CT scans using adaptive windowing, boundary tracing, and wavelet transform while incorporating anatomical information.
Fracture detection is performed on the basis of the results of prior pelvic bone segmentation via our registered active shape model (RASM).
The results are promising and show that the method is capable of detecting fractures accurately.
American Psychological Association (APA)
Wu, Jie& Davuluri, Pavani& Ward, Kevin R.& Cockrell, Charles H.& Hargraves, Rosalyn Hobson& Najarian, Kayvan. 2012. Fracture Detection in Traumatic Pelvic CT Images. International Journal of Biomedical Imaging،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-463810
Modern Language Association (MLA)
Wu, Jie…[et al.]. Fracture Detection in Traumatic Pelvic CT Images. International Journal of Biomedical Imaging No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-463810
American Medical Association (AMA)
Wu, Jie& Davuluri, Pavani& Ward, Kevin R.& Cockrell, Charles H.& Hargraves, Rosalyn Hobson& Najarian, Kayvan. Fracture Detection in Traumatic Pelvic CT Images. International Journal of Biomedical Imaging. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-463810
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-463810