Evaluation of Window Parameters of CT Brain Images With Statistical Central Moments


Sim, Kok Swee and Nia, Mohsen Esmaeili and Ta, C. S. and Tso, Chih Ping and Kho, Desmond Teck Kiang and Ee, C. S. (2016) Evaluation of Window Parameters of CT Brain Images With Statistical Central Moments. In: Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology. A volume in Emerging Trends in Computer Science and Applied Computing . Elsevier Inc., pp. 493-503. ISBN 978-0-12-804203-8

Full text not available from this repository.


Unenhanced computed tomography (CT) brain images are normally displayed by adjusting the window setting, which shows the images from the Digital Imaging and Communications in Medicine format into the standard grayscale format. The two parameters in the window setting are the center level and the window width, which are adjusted to show the region of interest. Various parameters or related indicators that affect the window setting are studied. Four mathematical central moments, namely, mean, variance, kurtosis, and skewness, are applied and compared on different CT brain images. Results show that the third and fourth moments are inversely proportional to the window width. Comparisons are made on the effects of these settings using different existing techniques including the expert evaluations from the hospital staff

Item Type: Book Section
Uncontrolled Keywords: Computed tomography; Ischemic stroke; Hounsfield unit; Window setting; Contrast
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 20 Nov 2017 12:10
Last Modified: 20 Nov 2017 12:10
URII: http://shdl.mmu.edu.my/id/eprint/6495


Downloads per month over past year

View ItemEdit (login required)