International Journal on Advanced Science, Engineering and Information Technology, Vol. 1 (2011) No. 1, pages: 109-112, Proceeding of the International Conference on Advanced Science, Engineering and Information Technology (ICASEIT 2011), Bangi, Malaysia, 14-15 January 2011, DOI:10.18517/ijaseit.1.1.25

Image Colourisation for Early Infarct Detection

Ong Ming Kuang, Sim Kok Swee, Chia Fu Keong, Tan Chin Kang, Ng Jia Tsing, Tan Tiong Lang, Tso Chih Ping, Choo Sad Leng, Rozalina Abd. Hamid


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.


Colour; Early infarct; Hounsfield units; Stroke Detection

Viewed: 535 times (since abstract online)

cite this paper     download