Comparison and evaluation of retrospective intermodality image registration techniques

Jay West, J. Michael Fitzpatrick, Matthew Y. Wang, Benoit M. Dawant, Calvin R. Maurer, Robert M. Kessler, Robert J. Maciunas, Christian Barillot, Didier Lemoine, André Collignon, Frederik Maes, Paul Suetens, Dirk Vandermeulen, Petra A. Van den Elsen, Paul F. Hemler, Sandy Napel, Thilaka S. Sumanaweera, Beth Harkness, Derek L G Hill, Colin StudholmeGregoire Malandain, Xavier Pennec, Marilyn E. Noz, Gerald Q. Maguire, Michael Pollack, Charles A. Pelizzari, Richard A. Robb, Dennis Hanson, Roger P. Woods

Research output: Chapter in Book/Report/Conference proceedingConference contribution

64 Citations (Scopus)

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.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsM.H. Loew, K.M. Hanson
Pages332-347
Number of pages16
Volume2710
DOIs
StatePublished - 1996
Externally publishedYes
EventMedical Imaging 1996 Image Processing - Newport Beach, CA, United States
Duration: Feb 12 1996Feb 15 1996

Other

OtherMedical Imaging 1996 Image Processing
CountryUnited States
CityNewport Beach, CA
Period2/12/962/15/96

Fingerprint

Image registration
evaluation
Neurosurgery
Brain
Statistics
markers
estimates
rectification
centroids
brain
statistics
preparation
cavities

Keywords

  • Accuracy validation
  • CT
  • Fiducial markers
  • Image registration
  • Medical imaging
  • MR
  • MR distortion
  • PET

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

West, J., Fitzpatrick, J. M., Wang, M. Y., Dawant, B. M., Maurer, C. R., Kessler, R. M., ... Woods, R. P. (1996). Comparison and evaluation of retrospective intermodality image registration techniques. In M. H. Loew, & K. M. Hanson (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (Vol. 2710, pp. 332-347) https://doi.org/10.1117/12.237936

Comparison and evaluation of retrospective intermodality image registration techniques. / West, Jay; Fitzpatrick, J. Michael; Wang, Matthew Y.; Dawant, Benoit M.; Maurer, Calvin R.; Kessler, Robert M.; Maciunas, Robert J.; Barillot, Christian; Lemoine, Didier; Collignon, André; Maes, Frederik; Suetens, Paul; Vandermeulen, Dirk; Van den Elsen, Petra A.; Hemler, Paul F.; Napel, Sandy; Sumanaweera, Thilaka S.; Harkness, Beth; Hill, Derek L G; Studholme, Colin; Malandain, Gregoire; Pennec, Xavier; Noz, Marilyn E.; Maguire, Gerald Q.; Pollack, Michael; Pelizzari, Charles A.; Robb, Richard A.; Hanson, Dennis; Woods, Roger P.

Proceedings of SPIE - The International Society for Optical Engineering. ed. / M.H. Loew; K.M. Hanson. Vol. 2710 1996. p. 332-347.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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, Hemler, PF, Napel, S, Sumanaweera, TS, Harkness, B, Hill, DLG, Studholme, C, Malandain, G, Pennec, X, Noz, ME, Maguire, GQ, Pollack, M, Pelizzari, CA, Robb, RA, Hanson, D & Woods, RP 1996, Comparison and evaluation of retrospective intermodality image registration techniques. in MH Loew & KM Hanson (eds), Proceedings of SPIE - The International Society for Optical Engineering. vol. 2710, pp. 332-347, Medical Imaging 1996 Image Processing, Newport Beach, CA, United States, 2/12/96. https://doi.org/10.1117/12.237936
West J, Fitzpatrick JM, Wang MY, Dawant BM, Maurer CR, Kessler RM et al. Comparison and evaluation of retrospective intermodality image registration techniques. In Loew MH, Hanson KM, editors, Proceedings of SPIE - The International Society for Optical Engineering. Vol. 2710. 1996. p. 332-347 https://doi.org/10.1117/12.237936
West, Jay ; Fitzpatrick, J. Michael ; Wang, Matthew Y. ; Dawant, Benoit M. ; Maurer, Calvin R. ; Kessler, Robert M. ; Maciunas, Robert J. ; Barillot, Christian ; Lemoine, Didier ; Collignon, André ; Maes, Frederik ; Suetens, Paul ; Vandermeulen, Dirk ; Van den Elsen, Petra A. ; Hemler, Paul F. ; Napel, Sandy ; Sumanaweera, Thilaka S. ; Harkness, Beth ; Hill, Derek L G ; Studholme, Colin ; Malandain, Gregoire ; Pennec, Xavier ; Noz, Marilyn E. ; Maguire, Gerald Q. ; Pollack, Michael ; Pelizzari, Charles A. ; Robb, Richard A. ; Hanson, Dennis ; Woods, Roger P. / Comparison and evaluation of retrospective intermodality image registration techniques. Proceedings of SPIE - The International Society for Optical Engineering. editor / M.H. Loew ; K.M. Hanson. Vol. 2710 1996. pp. 332-347
@inproceedings{34390398dfe04ebcb620db0bd46360f3,
title = "Comparison and evaluation of retrospective intermodality image registration techniques",
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.",
keywords = "Accuracy validation, CT, Fiducial markers, Image registration, Medical imaging, MR, MR distortion, PET",
author = "Jay West and Fitzpatrick, {J. Michael} and Wang, {Matthew Y.} and Dawant, {Benoit M.} and Maurer, {Calvin R.} and Kessler, {Robert M.} and Maciunas, {Robert J.} and Christian Barillot and Didier Lemoine and Andr{\'e} Collignon and Frederik Maes and Paul Suetens and Dirk Vandermeulen and {Van den Elsen}, {Petra A.} and Hemler, {Paul F.} and Sandy Napel and Sumanaweera, {Thilaka S.} and Beth Harkness and Hill, {Derek L G} and Colin Studholme and Gregoire Malandain and Xavier Pennec and Noz, {Marilyn E.} and Maguire, {Gerald Q.} and Michael Pollack and Pelizzari, {Charles A.} and Robb, {Richard A.} and Dennis Hanson and Woods, {Roger P.}",
year = "1996",
doi = "10.1117/12.237936",
language = "English (US)",
volume = "2710",
pages = "332--347",
editor = "M.H. Loew and K.M. Hanson",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

}

TY - GEN

T1 - Comparison and evaluation of retrospective intermodality image registration techniques

AU - West, Jay

AU - Fitzpatrick, J. Michael

AU - Wang, Matthew Y.

AU - Dawant, Benoit M.

AU - Maurer, Calvin R.

AU - Kessler, Robert M.

AU - Maciunas, Robert J.

AU - Barillot, Christian

AU - Lemoine, Didier

AU - Collignon, André

AU - Maes, Frederik

AU - Suetens, Paul

AU - Vandermeulen, Dirk

AU - Van den Elsen, Petra A.

AU - Hemler, Paul F.

AU - Napel, Sandy

AU - Sumanaweera, Thilaka S.

AU - Harkness, Beth

AU - Hill, Derek L G

AU - Studholme, Colin

AU - Malandain, Gregoire

AU - Pennec, Xavier

AU - Noz, Marilyn E.

AU - Maguire, Gerald Q.

AU - Pollack, Michael

AU - Pelizzari, Charles A.

AU - Robb, Richard A.

AU - Hanson, Dennis

AU - Woods, Roger P.

PY - 1996

Y1 - 1996

N2 - 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.

AB - 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.

KW - Accuracy validation

KW - CT

KW - Fiducial markers

KW - Image registration

KW - Medical imaging

KW - MR

KW - MR distortion

KW - PET

UR - http://www.scopus.com/inward/record.url?scp=0030316187&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030316187&partnerID=8YFLogxK

U2 - 10.1117/12.237936

DO - 10.1117/12.237936

M3 - Conference contribution

AN - SCOPUS:0030316187

VL - 2710

SP - 332

EP - 347

BT - Proceedings of SPIE - The International Society for Optical Engineering

A2 - Loew, M.H.

A2 - Hanson, K.M.

ER -