A non-linear registration method for DCE-MRI and DCE-CT comparison in bladder tumors

K. Passera; L. Mainardi; D. McGrath; J. Naish; D. L. Buckley; S. Cheung; Y. Watson; A. Caunce; G. Buonaccorsi; J. P. Logue; M. B. Taylor; C. Taylor; J. C. Waterton; H. Young; G. J M Parker

doi:10.1109/ISBI.2008.4541191

A non-linear registration method for DCE-MRI and DCE-CT comparison in bladder tumors

K. Passera, L. Mainardi, D. McGrath, J. Naish, D. L. Buckley, S. Cheung, Y. Watson, A. Caunce, G. Buonaccorsi, J. P. Logue, M. B. Taylor, C. Taylor, J. C. Waterton, H. Young, G. J M Parker

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

Abstract

The objective of this work is to examine the feasibility of a method to register dynamic contrast enhanced computed X-ray tomography (DCE-CT) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) datasets in order to make possible the comparison of parametric maps generated from tracer kinetic modeling. First, the CT and MR dynamic sets were matched temporally using a cross-correlation maximization approach. The registration was then performed through an affine transformation followed by a non-linear registration using free-form deformations (FFDs) based on B-splines. This was determined from the CT-MR pair that maximized Normalized Mutual Information (NMI). Then the 'extended Kety' model was fitted to both CT and MR and Ktrans, ve and vp parameters were obtained. The method was applied to 5 patients with bladder tumors. After registration, the overlap matching between CT and MR volume of interest (VOI) was on average 91%. ©2008 IEEE.

Original language	English
Title of host publication	2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI\|IEEE Int. Symp. Biomed. Imaging: Nano Macro, Proc., ISBI
Publisher	IEEE
Pages	1095-1098
Number of pages	3
ISBN (Print)	9781424420032
DOIs	https://doi.org/10.1109/ISBI.2008.4541191
Publication status	Published - 2008
Event	2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI - Paris Duration: 1 Jul 2008 → … http://ieeexplore.ieee.org/ielx5/4534844/4540908/04541191.pdf?tp=&arnumber=4541191&isnumber=4540908

Conference

Conference	2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI
City	Paris
Period	1/07/08 → …
Internet address	http://ieeexplore.ieee.org/ielx5/4534844/4540908/04541191.pdf?tp=&arnumber=4541191&isnumber=4540908

Keywords

DCE-CT
DCE-MRI
Inter-modal
Registration
Tracer kinetic modeling

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10.1109/ISBI.2008.4541191

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Passera, K., Mainardi, L., McGrath, D., Naish, J., Buckley, D. L., Cheung, S., Watson, Y., Caunce, A., Buonaccorsi, G., Logue, J. P., Taylor, M. B., Taylor, C., Waterton, J. C., Young, H., & Parker, G. J. M. (2008). A non-linear registration method for DCE-MRI and DCE-CT comparison in bladder tumors. In 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI|IEEE Int. Symp. Biomed. Imaging: Nano Macro, Proc., ISBI (pp. 1095-1098). IEEE. https://doi.org/10.1109/ISBI.2008.4541191

@inproceedings{319cf4b583fa4e8cb7b8695e8eed9ed4,

title = "A non-linear registration method for DCE-MRI and DCE-CT comparison in bladder tumors",

abstract = "The objective of this work is to examine the feasibility of a method to register dynamic contrast enhanced computed X-ray tomography (DCE-CT) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) datasets in order to make possible the comparison of parametric maps generated from tracer kinetic modeling. First, the CT and MR dynamic sets were matched temporally using a cross-correlation maximization approach. The registration was then performed through an affine transformation followed by a non-linear registration using free-form deformations (FFDs) based on B-splines. This was determined from the CT-MR pair that maximized Normalized Mutual Information (NMI). Then the 'extended Kety' model was fitted to both CT and MR and Ktrans, ve and vp parameters were obtained. The method was applied to 5 patients with bladder tumors. After registration, the overlap matching between CT and MR volume of interest (VOI) was on average 91%. {\textcopyright}2008 IEEE.",

keywords = "DCE-CT, DCE-MRI, Inter-modal, Registration, Tracer kinetic modeling",

author = "K. Passera and L. Mainardi and D. McGrath and J. Naish and Buckley, {D. L.} and S. Cheung and Y. Watson and A. Caunce and G. Buonaccorsi and Logue, {J. P.} and Taylor, {M. B.} and C. Taylor and Waterton, {J. C.} and H. Young and Parker, {G. J M}",

year = "2008",

doi = "10.1109/ISBI.2008.4541191",

language = "English",

isbn = "9781424420032",

pages = "1095--1098",

booktitle = "2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI|IEEE Int. Symp. Biomed. Imaging: Nano Macro, Proc., ISBI",

publisher = "IEEE",

address = "United States",

note = "2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI ; Conference date: 01-07-2008",

url = "http://ieeexplore.ieee.org/ielx5/4534844/4540908/04541191.pdf?tp=&arnumber=4541191&isnumber=4540908",

}

Passera, K, Mainardi, L, McGrath, D, Naish, J, Buckley, DL, Cheung, S, Watson, Y, Caunce, A, Buonaccorsi, G, Logue, JP, Taylor, MB, Taylor, C, Waterton, JC, Young, H & Parker, GJM 2008, A non-linear registration method for DCE-MRI and DCE-CT comparison in bladder tumors. in 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI|IEEE Int. Symp. Biomed. Imaging: Nano Macro, Proc., ISBI. IEEE, pp. 1095-1098, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI, Paris, 1/07/08. https://doi.org/10.1109/ISBI.2008.4541191

A non-linear registration method for DCE-MRI and DCE-CT comparison in bladder tumors. / Passera, K.; Mainardi, L.; McGrath, D. et al.
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI|IEEE Int. Symp. Biomed. Imaging: Nano Macro, Proc., ISBI. IEEE, 2008. p. 1095-1098.

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

TY - GEN

T1 - A non-linear registration method for DCE-MRI and DCE-CT comparison in bladder tumors

AU - Passera, K.

AU - Mainardi, L.

AU - McGrath, D.

AU - Naish, J.

AU - Buckley, D. L.

AU - Cheung, S.

AU - Watson, Y.

AU - Caunce, A.

AU - Buonaccorsi, G.

AU - Logue, J. P.

AU - Taylor, M. B.

AU - Taylor, C.

AU - Waterton, J. C.

AU - Young, H.

AU - Parker, G. J M

PY - 2008

Y1 - 2008

N2 - The objective of this work is to examine the feasibility of a method to register dynamic contrast enhanced computed X-ray tomography (DCE-CT) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) datasets in order to make possible the comparison of parametric maps generated from tracer kinetic modeling. First, the CT and MR dynamic sets were matched temporally using a cross-correlation maximization approach. The registration was then performed through an affine transformation followed by a non-linear registration using free-form deformations (FFDs) based on B-splines. This was determined from the CT-MR pair that maximized Normalized Mutual Information (NMI). Then the 'extended Kety' model was fitted to both CT and MR and Ktrans, ve and vp parameters were obtained. The method was applied to 5 patients with bladder tumors. After registration, the overlap matching between CT and MR volume of interest (VOI) was on average 91%. ©2008 IEEE.

AB - The objective of this work is to examine the feasibility of a method to register dynamic contrast enhanced computed X-ray tomography (DCE-CT) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) datasets in order to make possible the comparison of parametric maps generated from tracer kinetic modeling. First, the CT and MR dynamic sets were matched temporally using a cross-correlation maximization approach. The registration was then performed through an affine transformation followed by a non-linear registration using free-form deformations (FFDs) based on B-splines. This was determined from the CT-MR pair that maximized Normalized Mutual Information (NMI). Then the 'extended Kety' model was fitted to both CT and MR and Ktrans, ve and vp parameters were obtained. The method was applied to 5 patients with bladder tumors. After registration, the overlap matching between CT and MR volume of interest (VOI) was on average 91%. ©2008 IEEE.

KW - DCE-CT

KW - DCE-MRI

KW - Inter-modal

KW - Registration

KW - Tracer kinetic modeling

U2 - 10.1109/ISBI.2008.4541191

DO - 10.1109/ISBI.2008.4541191

M3 - Conference contribution

SN - 9781424420032

SP - 1095

EP - 1098

BT - 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI|IEEE Int. Symp. Biomed. Imaging: Nano Macro, Proc., ISBI

PB - IEEE

T2 - 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI

Y2 - 1 July 2008

ER -

Passera K, Mainardi L, McGrath D, Naish J, Buckley DL, Cheung S et al. A non-linear registration method for DCE-MRI and DCE-CT comparison in bladder tumors. In 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI|IEEE Int. Symp. Biomed. Imaging: Nano Macro, Proc., ISBI. IEEE. 2008. p. 1095-1098 doi: 10.1109/ISBI.2008.4541191

A non-linear registration method for DCE-MRI and DCE-CT comparison in bladder tumors

Abstract

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Keywords

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