Registration of head CT images to physical space using a weighted combination of points and surfaces [image-guided surgery]
- 1 January 1998
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Medical Imaging
- Vol. 17 (5) , 753-761
- https://doi.org/10.1109/42.736031
Abstract
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 reported a hybrid registration technique that uses a weighted combination of multiple geometrical feature shapes. In this study they use the weighted geometrical feature (WGF) algorithm to register computed tomography (CT) images of the head to physical space using the skin surface only, the bone surface only, and various weighted combinations of these surfaces and one fiducial point (centroid of a bone-implanted marker). The authors use data acquired from 12 patients that underwent temporal lobe craniotomies for the resection of cerebral lesions. The authors evaluate and compare the accuracy of the registrations obtained using these various approaches by using as a reference gold standard the registration obtained using three bone-implanted markers. The results demonstrate that a combination of geometrical features can improve the accuracy of CT-to-physical space registration. Point-based registration requires a minimum of three noncollinear points. The position of a bone-implanted marker can be determined much more accurately than that of a skin-affixed marker or an anatomic landmark. A major disadvantage of using bone-implanted markers is that an invasive procedure is required to implant each marker. By combining surface information, the WGF algorithm allows registration to be performed using only one or two such markers. One important finding is that the use of a single, very accurate point (a bone-implanted marker) allows very accurate surface-based registration to be achieved using very few surface points. Finally, the WGF algorithm, which not only allows the combination of multiple types of geometrical information but also handles point-based and surface-based registration as degenerate cases, could form the foundation of a "flexible" surgical navigation system that allows the surgeon to use what he considers the method most appropriate for an individual clinical situation.Keywords
This publication has 27 references indexed in Scilit:
- A survey of medical image registrationMedical Image Analysis, 1998
- Automated Image Registration: I. General Methods and Intrasubject, Intramodality ValidationJournal of Computer Assisted Tomography, 1998
- Comparison and Evaluation of Retrospective Intermodality Brain Image Registration TechniquesJournal of Computer Assisted Tomography, 1997
- Multimodality image registration by maximization of mutual informationIEEE Transactions on Medical Imaging, 1997
- Retrospective intermodality registration techniques: Surface-based versus volume-basedPublished by Springer Nature ,1997
- Registration of 3-D images using weighted geometrical featuresIEEE Transactions on Medical Imaging, 1996
- An automatic registration method for frameless stereotaxy, image guided surgery, and enhanced reality visualizationIEEE Transactions on Medical Imaging, 1996
- Multi-modal volume registration by maximization of mutual informationMedical Image Analysis, 1996
- Exploiting triangulated surface extraction using tetrahedral decompositionIEEE Transactions on Visualization and Computer Graphics, 1995
- Registration of CT and MR brain images using a combination of points and surfacesPublished by SPIE-Intl Soc Optical Eng ,1995