Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICIP.2010.5652317
Title: Fast traumatic brain injury CT slice indexing via anatomical feature classification
Authors: Liu, R. 
Li, S. 
Tan, C.L. 
Pang, B.C.
Lim, C.C.T.
Lee, C.K.
Tian, Q.
Zhang, Z.
Keywords: Brain CT slice indexing
Computed tomography
Computer assisted diagnosis
Issue Date: 2010
Source: Liu, R., Li, S., Tan, C.L., Pang, B.C., Lim, C.C.T., Lee, C.K., Tian, Q., Zhang, Z. (2010). Fast traumatic brain injury CT slice indexing via anatomical feature classification. Proceedings - International Conference on Image Processing, ICIP : 4377-4380. ScholarBank@NUS Repository. https://doi.org/10.1109/ICIP.2010.5652317
Abstract: Computed tomography (CT) is used widely in traumatic brain injury diagnosis. One axial brain CT scan consists of multiple slices with different heights along the brain axial direction. Indexing of brain CT slices is to order the slices and align each individual slice onto the corresponding brain axial height, which is an important step in content-based image retrieval and computer-assisted diagnosis. Current existing methods for this indexing task are through the image registration techniques by registering 2D image slices onto a 3D brain atlas. In this paper, instead of using the registration methods, we propose a fast indexing method using anatomical feature classification. In our method, the brain CT scan is divided into 6 height levels along the axial direction so that slices in each level share similar anatomical structure. In this way, the indexing problem becomes a classification problem that one series of scan slices are to be classified into 6 classes. Experimental results show that the proposed method is effective and efficient. © 2010 IEEE.
Source Title: Proceedings - International Conference on Image Processing, ICIP
URI: http://scholarbank.nus.edu.sg/handle/10635/41712
ISBN: 9781424479948
ISSN: 15224880
DOI: 10.1109/ICIP.2010.5652317
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