作者: C.R. Maurer , R.J. Maciunas , J.M. Fitzpatrick
DOI: 10.1109/42.736031
关键词: Tomography 、 Image registration 、 Feature (computer vision) 、 Computer science 、 Artificial intelligence 、 Computed tomography 、 Point (geometry) 、 Image processing 、 Image-guided surgery 、 Fiducial marker 、 Computer vision 、 Centroid
摘要: Most previously reported registration techniques that align three-dimensional image volumes by matching geometrical features such as points or surfaces use a single type of feature. The authors recently hybrid technique uses weighted combination multiple feature shapes. In this study they the (WGF) algorithm to register computed tomography (CT) images head physical space using skin surface only, bone and various combinations these one fiducial point (centroid bone-implanted marker). data acquired from 12 patients underwent temporal lobe craniotomies for resection cerebral lesions. evaluate compare accuracy registrations obtained approaches reference gold standard three markers. results demonstrate can improve CT-to-physical registration. Point-based requires minimum noncollinear points. position marker be determined much more accurately than skin-affixed an anatomic landmark. A major disadvantage markers is invasive procedure required implant each marker. By combining information, WGF allows performed only two One important finding single, very accurate (a marker) surface-based achieved few Finally, algorithm, which not types information but also handles point-based degenerate cases, could form foundation "flexible" surgical navigation system surgeon what he considers method most appropriate individual clinical situation.