DocumentCode
2836761
Title
Auto detection of brain ventricles using Hausdorff distance
Author
Sim, K.S. ; Ong, M.K. ; Chong, S.S. ; Ng, J.T. ; Tso, C.P. ; Choo, S.L. ; Rozalina, A.H.
Author_Institution
Fac. of Eng. & Technol., Multimedia Univ., Ayer Keroh, Malaysia
fYear
2010
fDate
Nov. 30 2010-Dec. 2 2010
Firstpage
199
Lastpage
204
Abstract
Brain plays an important role in human anatomy. The brain ventricular system can often be affected by different kinds of brain lesion, to the extent of creating an imbalance problem in the brain system. Hence, it is useful to develop a method to check the brain condition and to detect the existence of ventricles as well. A template of the ventricle is first created. Then ventricle detection in a slice of brain scan is done by using the Hausdorff distance. The presence of ventricles is smoothed by a median filter. Then, the ventricles are split into left and right halves through the computed centroid. Ratio is calculated to detect the brain abnormality. Result showed that 50% of the patients were detected accurately based on the ventricles.
Keywords
brain; image matching; medical image processing; neurophysiology; Hausdorff distance; brain abnormality detection; brain lesions; brain scan slice; brain ventricle autodetection; brain ventricular system; Accuracy; Brain models; Pixel; Brain ventricles; Hausdorff distance; brain lesion; template matching;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Sciences (IECBES), 2010 IEEE EMBS Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4244-7599-5
Type
conf
DOI
10.1109/IECBES.2010.5742228
Filename
5742228
Link To Document