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.