Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2011-04-30
International Journal of Computer Science & Information Technology (IJCSIT), Vol 3, No 2, April 2011
Computer Science
Computer Vision and Pattern Recognition
Scientific paper
10.5121/ijcsit.2011.3218
Preoperative templating in Total Hip Replacement (THR) is a method to estimate the optimal size and position of the implant. Today, observational (manual) size recognition techniques are still used to find a suitable implant for the patient. Therefore, a digital and automated technique should be developed so that the implant size recognition process can be effectively implemented. For this purpose, we have introduced the new technique for acetabular implant size recognition in THR preoperative planning based on the diameter of acetabulum size. This technique enables the surgeon to recognise a digital acetabular implant size automatically. Ten randomly selected X-rays of unidentified patients were used to test the accuracy and utility of an automated implant size recognition technique. Based on the testing result, the new technique yielded very close results to those obtained by the observational method in nine studies (90%).
Hasan Mohammad Khatim
Mohd Kassim Abdul Yazid
Shapi'i Azrulhizam
Sulaiman Riza
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