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Proceedings Paper

Comparison and evaluation of retrospective intermodality image registration techniques
Author(s): Jay B. West; J. Michael Fitzpatrick; Matthew Yang Wang; Benoit M. Dawant; Calvin R. Maurer; 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; 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; Michael Pollack; Charles A. Pelizzari; Richard A. Robb; Dennis P. Hanson; Roger P. Woods
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Paper 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 .

Paper Details

Date Published: 16 April 1996
PDF: 16 pages
Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); doi: 10.1117/12.237936
Show Author Affiliations
Jay B. West, Vanderbilt Univ. (United States)
J. Michael Fitzpatrick, Vanderbilt Univ. (United States)
Matthew Yang Wang, Vanderbilt Univ. (United States)
Benoit M. Dawant, Vanderbilt Univ. (United States)
Calvin R. Maurer, Vanderbilt Univ. (United States)
Robert M. Kessler, Vanderbilt Univ. Medical Ctr. (United States)
Robert J. Maciunas, Vanderbilt Univ. Medical Ctr. (United States)
Christian Barillot, Univ. de Rennes I (France)
Didier Lemoine, Univ. de Rennes I (France)
Andre M. F. Collignon, Katholieke Univ. Leuven (Belgium)
Frederik Maes, Katholieke Univ. Leuven (Belgium)
Paul Suetens, Katholieke Univ. Leuven (Belgium)
Dirk Vandermeulen, Katholieke Univ. Leuven (Belgium)
Petra A. van den Elsen, Stanford Univ. School of Medicine (United States)
Paul F. Hemler, Stanford Univ. School of Medicine (United States)
Sandy Napel, Stanford Univ. School of Medicine (United States)
Thilaka S. Sumanaweera, Stanford Univ. School of Medicine (United States)
Beth A. Harkness, Bowman Gray School of Medicine/Wake Forest Univ. (United States)
Derek L.G. Hill, Guy's Hospital (United Kingdom)
Colin Studholme, Guy's Hospital (United States)
Gregoire Malandain, INRIA (France)
Xavier Pennec, INRIA (France)
Marilyn E. Noz, New York Univ. Medical Ctr. (United States)
Gerald Q. Maguire, New York Univ. Medical Ctr. (Sweden)
Michael Pollack, New York Univ. Medical Ctr. (United States)
Charles A. Pelizzari, Univ. of Chicago Hospital (United States)
Richard A. Robb, Mayo Clinic and Foundation (United States)
Dennis P. Hanson, Mayo Clinic and Foundation (United States)
Roger P. Woods, UCLA School of Medicine (United States)


Published in SPIE Proceedings Vol. 2710:
Medical Imaging 1996: Image Processing
Murray H. Loew; Kenneth M. Hanson, Editor(s)

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