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PMID: 9216759 Published · ppublish English Comparative Study Journal Article Research Support, U.S. Gov't, P.H.S.

Comparison and evaluation of retrospective intermodality brain image registration techniques.

Journal of computer assisted tomography ·Vol. 21 ·No. 4 ·1997-00-00 ·Pages 554-66

West J, Fitzpatrick JM, Wang MY, Dawant BM, Maurer CR, Kessler RM, Maciunas RJ, Barillot C, Lemoine D, Collignon A, Maes F, Suetens P, Vandermeulen D, van den Elsen PA, Napel S, Sumanaweera TS, Harkness B, Hemler PF, Hill DL, Hawkes DJ, Studholme C, Maintz JB, Viergever MA, Malandain G, Woods RP

Abstract

The primary objective of this study is to perform a blinded evaluation of a group of retrospective image registration techniques using as a gold standard a prospective, marker-based registration method. To ensure blindedness, all retrospective registrations were performed by participants who had no knowledge of the gold standard results until after their results had been submitted. A secondary goal of the project is to evaluate the importance of correcting geometrical distortion in MR images by comparing the retrospective registration error in the rectified images, i.e., those that have had the distortion correction applied, with that of the same images before rectification. Image volumes of three modalities (CT, MR, and PET) were obtained from patients undergoing neurosurgery at Vanderbilt University Medical Center on whom bone-implanted fiducial markers were mounted. These volumes had all traces of the markers removed and were provided via the Internet 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. These investigators communicated their transformations again via the Internet to Vanderbilt, where the accuracy of each registration was evaluated. In this evaluation, the accuracy is measured at multiple volumes of interest (VOIs), i.e., areas in the brain that would commonly be areas of neurological interest. A VOI 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 distance between the original point c and its corresponding point c". This article presents statistics on the TRE calculated for each registration technique in this study and provides a brief description of each technique and an estimate of both preparation and execution time needed to perform the registration. Our results indicate that retrospective techniques have the potential to produce satisfactory results much of the time, but that visual inspection is necessary to guard against large errors.

MeSH Terms
Brain/diagnostic imaging,pathology Computer Communication Networks Diagnostic Errors Humans Magnetic Resonance Imaging/instrumentation,methods,standards,statistics & numerical data Observer Variation Prospective Studies Retrospective Studies Sensitivity and Specificity Teleradiology/methods,standards,statistics & numerical data Tomography, Emission-Computed/instrumentation,methods,standards,statistics & numerical data Tomography, X-Ray Computed/instrumentation,methods,standards,statistics & numerical data
Authors & Affiliations
25 authors, click to expand affiliations / ORCID
West J
Department of Computer Science, Vanderbilt University, Nashville, TN 37235, USA.
Fitzpatrick J M
Wang M Y
Dawant B M
Maurer C R
Kessler R M
Maciunas R J
Barillot C
Lemoine D
Collignon A
Maes F
Suetens P
Vandermeulen D
van den Elsen P A
Napel S
Sumanaweera T S
Harkness B
Hemler P F
Hill D L
Hawkes D J
Studholme C
Maintz J B
Viergever M A
Malandain G
Woods R P
Article Info
Journal
Journal of computer assisted tomography
Abbr.
J Comput Assist Tomogr
ISSN
0363-8715
Published
1997-00-00
Pages
554-66
Language
English
Region
United States
NLM ID
7703942
Subset
IM
Grants
NIBIB NIH HHS · R01 EB002124 · United States
NINDS NIH HHS · 1 R01 NS33926-02 · United States
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