Abstract
Abstract: In this study, we investigated the rotational characteristics which were comprised of directionality and lin-earity of target registration error (TRE) as a study in advance to enhance the accuracy of contour-based registrationin neuronavigation. For the experiment, two rigid head phantoms that have different faces with specially designedtarget frame fixed inside of the phantoms were used. Three-dimensional coordinates of facial surface point cloud andtarget point of the phantoms were acquired using computed tomography (CT) and 3D scanner. Iterative closest point(ICP) method was used for registration of two different point cloud and the directionality and linearity of TRE in over-all head were calculated by using 3D position of targets after registration. As a result, it was represented that TREhad consistent direction in overall head region and was increased in linear fashion as distance from facial surface,but did not show high linearity. These results indicated that it is possible for decrease TRE by controlling orientationof facial surface point cloud acquired from scanner, and the prediction of TRE from surface registration error candecrease the registration accuracy in lesion. In the further studies, we have to develop the contour-based registrationmethod for improvement of accuracy by considering rotational characteristics of TRE.Key words: Neuronavigation, Image-guided surgery, Contour-based registration, Target registration error, Rota-tional characteristics
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