Methods for inverting dense displacement fields: Evaluation in brain image registration

TY - CHAP

T1 - Methods for inverting dense displacement fields: Evaluation in brain image registration

AU - Crum, William R.

AU - Camara, Oscar

AU - Hawkes, David J.

PY - 2007

Y1 - 2007

N2 - In medical image analysis there is frequently a need to invert dense displacement fields which map one image space to another. In this paper we describe inversion techniques and determine their accuracy in the context of 18 inter-subject brain image registrations. Scattered data interpolation (SDI) is used to initialise locally and globally consistent iterative techniques. The inverse-consistency error, E-IC is computed over the whole image and over 10 specific brain regions. SDI produced good results with mean (max) E-IC similar to 0.02mm (2.0mm). Both iterative method produced mean errors of similar to 0.005mm but the globally consistent method resulted in a smaller maximum error (1.9mm compared with 1.4mm). The largest errors were in the cerebral cortex with large outlier errors in the ventricles. Simple iterative techniques are, on this evidence, able to produce reasonable estimates of inverse displacement fields provided there is good initialisation.

AB - In medical image analysis there is frequently a need to invert dense displacement fields which map one image space to another. In this paper we describe inversion techniques and determine their accuracy in the context of 18 inter-subject brain image registrations. Scattered data interpolation (SDI) is used to initialise locally and globally consistent iterative techniques. The inverse-consistency error, E-IC is computed over the whole image and over 10 specific brain regions. SDI produced good results with mean (max) E-IC similar to 0.02mm (2.0mm). Both iterative method produced mean errors of similar to 0.005mm but the globally consistent method resulted in a smaller maximum error (1.9mm compared with 1.4mm). The largest errors were in the cerebral cortex with large outlier errors in the ventricles. Simple iterative techniques are, on this evidence, able to produce reasonable estimates of inverse displacement fields provided there is good initialisation.

M3 - Conference paper

SN - 978-3-540-75756-6

VL - 4791 LNCS

SP - 900

EP - 907

BT - Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, Pt 1, Proceedings

A2 - Ayache, N

A2 - Ourselin, S

A2 - Maeder, A

PB - Springer

CY - BERLIN

T2 - 10th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2007)

Y2 - 29 October 2007 through 2 November 2007

ER -