Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICIP.2009.5414092
Title: From hemorrhage to midline shift: A new method of tracing the deformed midline in traumatic brain injury CT images
Authors: Liu, R. 
Li, S. 
Tan, C.L. 
Pang, B.C.
Lim, C.C.T.
Lee, C.K.
Tian, Q.
Zhang, Z.
Keywords: Computed tomography
Hemorrhage
Medical image analysis
Midline shift
Traumatic brain injury
Issue Date: 2009
Citation: Liu, R.,Li, S.,Tan, C.L.,Pang, B.C.,Lim, C.C.T.,Lee, C.K.,Tian, Q.,Zhang, Z. (2009). From hemorrhage to midline shift: A new method of tracing the deformed midline in traumatic brain injury CT images. Proceedings - International Conference on Image Processing, ICIP : 2637-2640. ScholarBank@NUS Repository. https://doi.org/10.1109/ICIP.2009.5414092
Abstract: In intracranial pathological examinations using CT scan, brain midline shift (MLS) is an important diagnostic feature indicating the pathological severity and patient's survival possibility. In this paper, we develop a new method of tracing the brain midline shift in traumatic brain injury (TBI) CT images using its original cause - the hemorrhage. Firstly, we model the relationship between the hemorrhage and the midline deformation caused by it using a linear regression model (H-MLS model). Secondly, using the H-MLS model, the deformed midline is predicted from the hemorrhage detected in CT images. Finally, the predicted deformed midline is adjusted according to the visual symmetry information. Preliminary experiments show that the proposed method is effective and time-efficient. ©2009 IEEE.
Source Title: Proceedings - International Conference on Image Processing, ICIP
URI: http://scholarbank.nus.edu.sg/handle/10635/41713
ISBN: 9781424456543
ISSN: 15224880
DOI: 10.1109/ICIP.2009.5414092
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

9
checked on May 26, 2023

Page view(s)

144
checked on May 25, 2023

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.