DOI : https://doi.org/10.18517/ijaseit.1.1.25

Image Colourisation for Early Infarct Detection

Ong Ming Kuang (1), Sim Kok Swee (2), Chia Fu Keong (3), Tan Chin Kang (4), Ng Jia Tsing (5), Tan Tiong Lang (6), Tso Chih Ping (7), Choo Sad Leng (8), Rozalina Abd. Hamid (9)
(1) Faculty of Engineering and Technology, Multimedia University, Melaka
(2) Faculty of Engineering and Technology, Multimedia University, Melaka
(3) Faculty of Engineering and Technology, Multimedia University, Melaka
(4) Faculty of Engineering and Technology, Multimedia University, Melaka
(5) Faculty of Engineering and Technology, Multimedia University, Melaka
(6) Faculty of Engineering and Technology, Multimedia University, Melaka
(7) School of MAE, Nanyang Technological University
(8) Department of Diagnostic Imaging, Hospital Melaka
(9) Department of Diagnostic Imaging, Hospital Melaka
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How to cite (IJASEIT) :
Ming Kuang, Ong, et al. “Image Colourisation for Early Infarct Detection”. International Journal on Advanced Science, Engineering and Information Technology, vol. 1, no. 1, Feb. 2011, pp. 109-12, doi:10.18517/ijaseit.1.1.25.
Citation Format :
Although early detection of infarct sign can provide early treatment to patients, early infarct detection on brain images is well-known to be difficult due to their subtle signs. A method is proposed to aid the detection of infarct through image colourisation based on Hounsfield units. A test was conducted in a private university to evaluate the algorithm, and the method appeared helpful and robust. The limited results showed that students with and without medical background had improved their ability of detecting early sign by 5.5% with the help of image colourisation.

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