A new similarity metric for groupwise registration of variable flip angle sequences for improved T10 estimation in DCE-MRI

Hallack A, Chappell MA, Gooding MJ, Schnabel JA (2014)

Publication Type: Conference contribution

Publication year: 2014

Journal

Lecture Notes in Computer Science Springer Verlag

Publisher: Springer Verlag

Book Volume: 8545 LNCS

Pages Range: 154-163

Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Event location: GBR

ISBN: 9783319085531

DOI: 10.1007/978-3-319-08554-8_16

Abstract

Relaxation time (T10) estimation using variable flip angle sequences is a key step for pharmacokinetic (PK) analysis of tumours in DCE-MRI exams. In this study, the effects of motion within flip angle sequences on the T10 and subsequent Ktrans and kep estimation were examined. It was found that errors in T10 estimation caused by motion had a significant impact on subsequent PK analysis. A new similarity metric, based on the T10 regression error, for groupwise motion correction of variable flip angle sequences is proposed and compared against Groupwise Normalized Mutual Information (GNMI). In rigid registration experiments on simulated data, the new metric outperformed GNMI, showing an improvement alignment of over 14% in terms of average target registration error, which is also reflected by a lower T10 estimation error. Finally, registration was applied to 46 clinical sequences to identify the average amount of motion found in this type of acquisition; this showed an estimated displacement of 0.98mm, which could lead to over 25% Ktrans estimation error if motion were not corrected. © 2014 Springer International Publishing.

Involved external institutions

University of Oxford GB United Kingdom (GB) Mirada Medical (United Kingdom) GB United Kingdom (GB)

How to cite

APA:

Hallack, A., Chappell, M.A., Gooding, M.J., & Schnabel, J.A. (2014). A new similarity metric for groupwise registration of variable flip angle sequences for improved T10 estimation in DCE-MRI. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 154-163). GBR: Springer Verlag.

MLA:

Hallack, Andre, et al. "A new similarity metric for groupwise registration of variable flip angle sequences for improved T10 estimation in DCE-MRI." Proceedings of the 6th International Workshop on Biomedical Image Registration, WBIR 2014, GBR Springer Verlag, 2014. 154-163.

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