Magnetic resonance image registration in multiple sclerosis: Comparison with repositioning error and observer-based variability

I. Leng Tan, Ronald A. Van Schijndel, Marianne A.A. Van Walderveen, Marcel Quist, Reinhard Bos, Petra J.W. Pouwels, Pol Desmedt, Herman J. Adr, Frederik Barkhof

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Purpose: To study the use of image registration in the analysis of multiple sclerosis (MS) lesion volume and compare this with repositioning error and observer-based variability. Materials and Methods: The normalized mutual information (NMI) algorithm is evaluated in an accuracy study using a phantom, followed by a validation study on magnetic resonance (MR) data of MS patients. Further, using scan-rescan MR data, the effect of registration on MS lesion volume compared with repositioning error and observer based variability is assessed. Results: The registration accuracy was near perfect in the phantom study, while the in vivo validation study demonstrated an accuracy on the order of 0.2-0.3 mm. In the scan-rescan study, quantification accounted for 15.6% of the relative variance, repositioning for 44,4%, and registration for 40,0%. Conclusion: NMI resulted in robust and accurate alignment of MR brain images of MS patients. Its use in the detection of changes in MS using large serial MR imaging (MRI) data warrants future evaluation.

Original languageEnglish
Pages (from-to)505-510
Number of pages6
JournalJournal of Magnetic Resonance Imaging
Volume15
Issue number5
DOIs
Publication statusPublished - 13 May 2002

Cite this

Leng Tan, I. ; Van Schijndel, Ronald A. ; Van Walderveen, Marianne A.A. ; Quist, Marcel ; Bos, Reinhard ; Pouwels, Petra J.W. ; Desmedt, Pol ; Adr, Herman J. ; Barkhof, Frederik. / Magnetic resonance image registration in multiple sclerosis : Comparison with repositioning error and observer-based variability. In: Journal of Magnetic Resonance Imaging. 2002 ; Vol. 15, No. 5. pp. 505-510.
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title = "Magnetic resonance image registration in multiple sclerosis: Comparison with repositioning error and observer-based variability",
abstract = "Purpose: To study the use of image registration in the analysis of multiple sclerosis (MS) lesion volume and compare this with repositioning error and observer-based variability. Materials and Methods: The normalized mutual information (NMI) algorithm is evaluated in an accuracy study using a phantom, followed by a validation study on magnetic resonance (MR) data of MS patients. Further, using scan-rescan MR data, the effect of registration on MS lesion volume compared with repositioning error and observer based variability is assessed. Results: The registration accuracy was near perfect in the phantom study, while the in vivo validation study demonstrated an accuracy on the order of 0.2-0.3 mm. In the scan-rescan study, quantification accounted for 15.6{\%} of the relative variance, repositioning for 44,4{\%}, and registration for 40,0{\%}. Conclusion: NMI resulted in robust and accurate alignment of MR brain images of MS patients. Its use in the detection of changes in MS using large serial MR imaging (MRI) data warrants future evaluation.",
keywords = "Image registration, Magnetic resonance imaging, Multiple sclerosis, Mutual information, Repositioning",
author = "{Leng Tan}, I. and {Van Schijndel}, {Ronald A.} and {Van Walderveen}, {Marianne A.A.} and Marcel Quist and Reinhard Bos and Pouwels, {Petra J.W.} and Pol Desmedt and Adr, {Herman J.} and Frederik Barkhof",
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Magnetic resonance image registration in multiple sclerosis : Comparison with repositioning error and observer-based variability. / Leng Tan, I.; Van Schijndel, Ronald A.; Van Walderveen, Marianne A.A.; Quist, Marcel; Bos, Reinhard; Pouwels, Petra J.W.; Desmedt, Pol; Adr, Herman J.; Barkhof, Frederik.

In: Journal of Magnetic Resonance Imaging, Vol. 15, No. 5, 13.05.2002, p. 505-510.

Research output: Contribution to journalArticleAcademicpeer-review

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T2 - Comparison with repositioning error and observer-based variability

AU - Leng Tan, I.

AU - Van Schijndel, Ronald A.

AU - Van Walderveen, Marianne A.A.

AU - Quist, Marcel

AU - Bos, Reinhard

AU - Pouwels, Petra J.W.

AU - Desmedt, Pol

AU - Adr, Herman J.

AU - Barkhof, Frederik

PY - 2002/5/13

Y1 - 2002/5/13

N2 - Purpose: To study the use of image registration in the analysis of multiple sclerosis (MS) lesion volume and compare this with repositioning error and observer-based variability. Materials and Methods: The normalized mutual information (NMI) algorithm is evaluated in an accuracy study using a phantom, followed by a validation study on magnetic resonance (MR) data of MS patients. Further, using scan-rescan MR data, the effect of registration on MS lesion volume compared with repositioning error and observer based variability is assessed. Results: The registration accuracy was near perfect in the phantom study, while the in vivo validation study demonstrated an accuracy on the order of 0.2-0.3 mm. In the scan-rescan study, quantification accounted for 15.6% of the relative variance, repositioning for 44,4%, and registration for 40,0%. Conclusion: NMI resulted in robust and accurate alignment of MR brain images of MS patients. Its use in the detection of changes in MS using large serial MR imaging (MRI) data warrants future evaluation.

AB - Purpose: To study the use of image registration in the analysis of multiple sclerosis (MS) lesion volume and compare this with repositioning error and observer-based variability. Materials and Methods: The normalized mutual information (NMI) algorithm is evaluated in an accuracy study using a phantom, followed by a validation study on magnetic resonance (MR) data of MS patients. Further, using scan-rescan MR data, the effect of registration on MS lesion volume compared with repositioning error and observer based variability is assessed. Results: The registration accuracy was near perfect in the phantom study, while the in vivo validation study demonstrated an accuracy on the order of 0.2-0.3 mm. In the scan-rescan study, quantification accounted for 15.6% of the relative variance, repositioning for 44,4%, and registration for 40,0%. Conclusion: NMI resulted in robust and accurate alignment of MR brain images of MS patients. Its use in the detection of changes in MS using large serial MR imaging (MRI) data warrants future evaluation.

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