Paper
16 April 1996 Comparison and evaluation of retrospective intermodality image registration techniques
Jay B. West, J. Michael Fitzpatrick, Matthew Yang Wang, Benoit M. Dawant, Calvin R. Maurer Jr., Robert M. Kessler, Robert J. Maciunas, Christian Barillot, Didier Lemoine, Andre M. F. Collignon, Frederik Maes, Paul Suetens, Dirk Vandermeulen, Petra A. van den Elsen M.D., Paul F. Hemler, Sandy Napel, Thilaka S. Sumanaweera, Beth A. Harkness, Derek L.G. Hill, Colin Studholme, Gregoire Malandain, Xavier Pennec, Marilyn E. Noz, Gerald Q. Maguire Jr., Michael Pollack, Charles A. Pelizzari, Richard A. Robb, Dennis P. Hanson, Roger P. Woods M.D.
Author Affiliations +
Abstract
All retrospective image registration methods have attached to them some intrinsic estimate of registration error. However, this estimate of accuracy may not always be a good indicator of the distance between actual and estimated positions of targets within the cranial cavity. This paper describes a project whose principal goal is to use a prospective method based on fiducial markers as a 'gold standard' to perform an objective, blinded evaluation of the accuracy of several retrospective image-to-image registration techniques. Image volumes of three modalities -- CT, MR, and PET -- were taken of patients undergoing neurosurgery at Vanderbilt University Medical Center. These volumes had all traces of the fiducial markers removed, and were provided to project collaborators outside Vanderbilt, who then performed retrospective registrations on the volumes, calculating transformations from CT to MR and/or from PET to MR, and communicated their transformations to Vanderbilt where the accuracy of each registration was evaluated. In this evaluation the accuracy is measured at multiple 'regions of interest,' i.e. areas in the brain which would commonly be areas of neurological interest. A region is defined in the MR image and its centroid C is determined. Then the prospective registration is used to obtain the corresponding point C' in CT or PET. To this point the retrospective registration is then applied, producing C' in MR. Statistics are gathered on the target registration error (TRE), which is the disparity between the original point C and its corresponding point C'. A second goal of the project is to evaluate the importance of correcting geometrical distortion in MR images, by comparing the retrospective TRE in the rectified images, i.e., those which have had the distortion correction applied, with that of the same images before rectification. This paper presents preliminary results of this study along with a brief description of each registration technique and an estimate of both preparation and execution time needed to perform the registration .
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jay B. West, J. Michael Fitzpatrick, Matthew Yang Wang, Benoit M. Dawant, Calvin R. Maurer Jr., Robert M. Kessler, Robert J. Maciunas, Christian Barillot, Didier Lemoine, Andre M. F. Collignon, Frederik Maes, Paul Suetens, Dirk Vandermeulen, Petra A. van den Elsen M.D., Paul F. Hemler, Sandy Napel, Thilaka S. Sumanaweera, Beth A. Harkness, Derek L.G. Hill, Colin Studholme, Gregoire Malandain, Xavier Pennec, Marilyn E. Noz, Gerald Q. Maguire Jr., Michael Pollack, Charles A. Pelizzari, Richard A. Robb, Dennis P. Hanson, and Roger P. Woods M.D. "Comparison and evaluation of retrospective intermodality image registration techniques", Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); https://doi.org/10.1117/12.237936
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KEYWORDS
Image registration

Magnetic resonance imaging

Positron emission tomography

Computed tomography

Gold

Distortion

Image segmentation

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