Inverse consistency error in the registration of prone and supine images in CT colonography

Authors:
Holger R. Roth;Thomas E. Hampshire;Jamie R. McClelland;Mingxing Hu;Darren J. Boone;Greg G. Slabaugh;Steve Halligan;David J. Hawkes
Affiliations:
Centre for Medical Image Computing, University College London, London, UK;Centre for Medical Image Computing, University College London, London, UK;Centre for Medical Image Computing, University College London, London, UK;Centre for Medical Image Computing, University College London, London, UK;Department of Specialist Radiology, University College Hospital, London, UK;Medicsight PLC, London, UK;Department of Specialist Radiology, University College Hospital, London, UK;Centre for Medical Image Computing, University College London, London, UK
Venue:
MICCAI'11 Proceedings of the Third international conference on Abdominal Imaging: computational and Clinical Applications
Year:
2011

Citing 4
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Abstract

Robust registration between prone and supine data acquisitions for CT colonography is pivotal for medical interpretation but a challenging problem. One measure when evaluating non-rigid registration algorithms over the whole of the deformation field is the inverse consistency error, which suggests improved registration quality when the inverse deformation is consistent with the forward deformation. We show that using computed landmark displacements to initialise an intensity based registration reduces the inverse consistency error when using a state-of-the-art non-rigid b-spline registration method. This method aligns prone and supine 2D images derived from CT colonography acquisitions in a cylindrical domain. Furthermore, we demonstrate that using the same initialisation also improves registration accuracy for a set of manually identified reference points in cases exhibiting local luminal collapse.