Literature DB >> 9874299

Registration of head CT images to physical space using a weighted combination of points and surfaces.

C R Maurer1, R J Maciunas, J M Fitzpatrick.   

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. We recently reported a hybrid registration technique that uses a weighted combination of multiple geometrical feature shapes. In this study we 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). We use data acquired from 12 patients that underwent temporal lobe craniotomies for the resection of cerebral lesions. We 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 noncolinear 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.

Entities:  

Mesh:

Year:  1998        PMID: 9874299     DOI: 10.1109/42.736031

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  19 in total

1.  Cortical surface registration for image-guided neurosurgery using laser-range scanning.

Authors:  Michael I Miga; Tuhin K Sinha; David M Cash; Robert L Galloway; Robert J Weil
Journal:  IEEE Trans Med Imaging       Date:  2003-08       Impact factor: 10.048

Review 2.  Computer-aided navigation in neurosurgery.

Authors:  P Grunert; K Darabi; J Espinosa; R Filippi
Journal:  Neurosurg Rev       Date:  2003-05       Impact factor: 3.042

3.  Registration of 3D CT angiography and cardiac MR images in coronary artery disease patients.

Authors:  Bernhard Sturm; Kimerly A Powell; Arthur E Stillman; Richard D White
Journal:  Int J Cardiovasc Imaging       Date:  2003-08       Impact factor: 2.357

4.  Adaptive spatial calibration of a 3D ultrasound system.

Authors:  Alex Hartov; Keith Paulsen; Songbai Ji; Kathryn Fontaine; Marie-Laure Furon; Andrea Borsic; David Roberts
Journal:  Med Phys       Date:  2010-05       Impact factor: 4.071

5.  Rigid registration of medical images using 1D and 2D binary projections.

Authors:  Panayiotis Kotsas; Tony Dodd
Journal:  J Digit Imaging       Date:  2011-10       Impact factor: 4.056

6.  Navigation-assisted surgery for bone and soft tissue tumors with bony extension.

Authors:  Makoto Ieguchi; Manabu Hoshi; Jun Takada; Noriaki Hidaka; Hiroaki Nakamura
Journal:  Clin Orthop Relat Res       Date:  2011-10-19       Impact factor: 4.176

7.  Validation of a method for coregistering scalp recording locations with 3D structural MR images.

Authors:  Christopher Whalen; Edward L Maclin; Monica Fabiani; Gabriele Gratton
Journal:  Hum Brain Mapp       Date:  2008-11       Impact factor: 5.038

8.  Fast and accurate registration of cranial CT images with A-mode ultrasound.

Authors:  Lorenz Fieten; Kirsten Schmieder; Martin Engelhardt; Lamija Pasalic; Klaus Radermacher; Stefan Heger
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-03-13       Impact factor: 2.924

9.  Comparison of procedures for co-registering scalp-recording locations to anatomical magnetic resonance images.

Authors:  Antonio M Chiarelli; Edward L Maclin; Kathy A Low; Monica Fabiani; Gabriele Gratton
Journal:  J Biomed Opt       Date:  2015-01       Impact factor: 3.170

10.  Minimally invasive holographic surface scanning for soft-tissue image registration.

Authors:  Ray A Lathrop; Douglas M Hackworth; Robert J Webster
Journal:  IEEE Trans Biomed Eng       Date:  2010-06       Impact factor: 4.538

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.