Assessment of intraoperative brain deformation using interventional mr imaging

Derek L.G. Hill; Calvin R. Maurer; Alastair J. Martin; Saras Sabanathan; Walter A. Hall; David J. Hawkes; Daniel Rueckert; Charles L. Truwit

doi:10.1007/10704282_99

Assessment of intraoperative brain deformation using interventional mr imaging

Derek L.G. Hill, Calvin R. Maurer, Alastair J. Martin, Saras Sabanathan, Walter A. Hall, David J. Hawkes, Daniel Rueckert, Charles L. Truwit

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

28 Scopus citations

Abstract

We study brain deformation for a series of 8 resection cases carried out in the interventional MR suite at the University of Minnesota. The pattern of deformation is described qualitatively. We also quantify deformation by identifying anatomical landmarks spread over the brain in pre- and post-resection images, and show these values agree well with the results obtained from an automatic non-rigid registration algorithm. For all but one patient, the deformation was significantly greater ipsilateral to the lesion than contralateral, with the contralateral deformation being of the same order as the precision of the measurements. For the remaining patient, there was bi-lateral deformation of several millimetres. Example deformation fields are shown illustrating the distribution of deformation over the brain. The variability of deformation between subjects was considerable, suggesting the automatic correction of intraoperative deformation without use of interventional images may be difficult to achieve.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention –MICCAI 1999 - 2nd International Conference, Proceedings
Editors	Chris Taylor, Alain Colchester
Publisher	Springer Verlag
Pages	910-920
Number of pages	11
ISBN (Print)	354066503X, 9783540665038
DOIs	https://doi.org/10.1007/10704282_99
State	Published - 1999
Externally published	Yes
Event	2nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1999 - Cambridge, United Kingdom Duration: 19 Sep 1999 → 22 Sep 1999

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1679
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1999
Country/Territory	United Kingdom
City	Cambridge
Period	19/09/99 → 22/09/99

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10.1007/10704282_99

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Hill, D. L. G., Maurer, C. R., Martin, A. J., Sabanathan, S., Hall, W. A., Hawkes, D. J., Rueckert, D., & Truwit, C. L. (1999). Assessment of intraoperative brain deformation using interventional mr imaging. In C. Taylor, & A. Colchester (Eds.), Medical Image Computing and Computer-Assisted Intervention –MICCAI 1999 - 2nd International Conference, Proceedings (pp. 910-920). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1679). Springer Verlag. https://doi.org/10.1007/10704282_99

Hill, Derek L.G. ; Maurer, Calvin R. ; Martin, Alastair J. et al. / Assessment of intraoperative brain deformation using interventional mr imaging. Medical Image Computing and Computer-Assisted Intervention –MICCAI 1999 - 2nd International Conference, Proceedings. editor / Chris Taylor ; Alain Colchester. Springer Verlag, 1999. pp. 910-920 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Assessment of intraoperative brain deformation using interventional mr imaging",

abstract = "We study brain deformation for a series of 8 resection cases carried out in the interventional MR suite at the University of Minnesota. The pattern of deformation is described qualitatively. We also quantify deformation by identifying anatomical landmarks spread over the brain in pre- and post-resection images, and show these values agree well with the results obtained from an automatic non-rigid registration algorithm. For all but one patient, the deformation was significantly greater ipsilateral to the lesion than contralateral, with the contralateral deformation being of the same order as the precision of the measurements. For the remaining patient, there was bi-lateral deformation of several millimetres. Example deformation fields are shown illustrating the distribution of deformation over the brain. The variability of deformation between subjects was considerable, suggesting the automatic correction of intraoperative deformation without use of interventional images may be difficult to achieve.",

author = "Hill, {Derek L.G.} and Maurer, {Calvin R.} and Martin, {Alastair J.} and Saras Sabanathan and Hall, {Walter A.} and Hawkes, {David J.} and Daniel Rueckert and Truwit, {Charles L.}",

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year = "1999",

doi = "10.1007/10704282_99",

language = "English",

isbn = "354066503X",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Hill, DLG, Maurer, CR, Martin, AJ, Sabanathan, S, Hall, WA, Hawkes, DJ, Rueckert, D & Truwit, CL 1999, Assessment of intraoperative brain deformation using interventional mr imaging. in C Taylor & A Colchester (eds), Medical Image Computing and Computer-Assisted Intervention –MICCAI 1999 - 2nd International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1679, Springer Verlag, pp. 910-920, 2nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1999, Cambridge, United Kingdom, 19/09/99. https://doi.org/10.1007/10704282_99

Assessment of intraoperative brain deformation using interventional mr imaging. / Hill, Derek L.G.; Maurer, Calvin R.; Martin, Alastair J. et al.
Medical Image Computing and Computer-Assisted Intervention –MICCAI 1999 - 2nd International Conference, Proceedings. ed. / Chris Taylor; Alain Colchester. Springer Verlag, 1999. p. 910-920 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1679).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hill, Derek L.G.

AU - Maurer, Calvin R.

AU - Martin, Alastair J.

AU - Sabanathan, Saras

AU - Hall, Walter A.

AU - Hawkes, David J.

AU - Rueckert, Daniel

AU - Truwit, Charles L.

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 1999.

PY - 1999

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N2 - We study brain deformation for a series of 8 resection cases carried out in the interventional MR suite at the University of Minnesota. The pattern of deformation is described qualitatively. We also quantify deformation by identifying anatomical landmarks spread over the brain in pre- and post-resection images, and show these values agree well with the results obtained from an automatic non-rigid registration algorithm. For all but one patient, the deformation was significantly greater ipsilateral to the lesion than contralateral, with the contralateral deformation being of the same order as the precision of the measurements. For the remaining patient, there was bi-lateral deformation of several millimetres. Example deformation fields are shown illustrating the distribution of deformation over the brain. The variability of deformation between subjects was considerable, suggesting the automatic correction of intraoperative deformation without use of interventional images may be difficult to achieve.

AB - We study brain deformation for a series of 8 resection cases carried out in the interventional MR suite at the University of Minnesota. The pattern of deformation is described qualitatively. We also quantify deformation by identifying anatomical landmarks spread over the brain in pre- and post-resection images, and show these values agree well with the results obtained from an automatic non-rigid registration algorithm. For all but one patient, the deformation was significantly greater ipsilateral to the lesion than contralateral, with the contralateral deformation being of the same order as the precision of the measurements. For the remaining patient, there was bi-lateral deformation of several millimetres. Example deformation fields are shown illustrating the distribution of deformation over the brain. The variability of deformation between subjects was considerable, suggesting the automatic correction of intraoperative deformation without use of interventional images may be difficult to achieve.

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Hill DLG, Maurer CR, Martin AJ, Sabanathan S, Hall WA, Hawkes DJ et al. Assessment of intraoperative brain deformation using interventional mr imaging. In Taylor C, Colchester A, editors, Medical Image Computing and Computer-Assisted Intervention –MICCAI 1999 - 2nd International Conference, Proceedings. Springer Verlag. 1999. p. 910-920. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/10704282_99

Assessment of intraoperative brain deformation using interventional mr imaging

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