Fast groupwise 4D deformable image registration for irregular breathing motion estimation
Papiez BW, Mcgowan DR, Skwarski M, Higgins GS, Schnabel JA, Brady SM (2018)
Publication Type: Conference contribution
Publication year: 2018
Journal
Publisher: Springer Verlag
Book Volume: 10883 LNCS
Pages Range: 37-46
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Leiden, NLD
ISBN: 9783319922577
DOI: 10.1007/978-3-319-92258-4_4
Abstract
Tumor heterogeneity can be assessed quantitatively by analyzing dynamic contrast-enhanced imaging modalities potentially leading to improvement in the diagnosis and treatment of cancer, for example of the lung. However, the acquisition of standard lung sequences is often compromised by irregular breathing motion artefacts, resulting in unsystematic errors when estimating tissue perfusion parameters. In this work, we illustrate implicit deformable image registration that integrates the Demons algorithm using the local correlation coefficient as a similarity measure, and locally adaptive regularization that enables incorporation of both spatial sliding motions and irregular temporal motion patterns. We also propose a practical numerical approximation of the regularization model to improve both computational time and registration accuracy, which are important when analyzing long clinical sequences. Our quantitative analysis of 4D lung Computed Tomography and Computed Tomography Perfusion scans from clinical lung trial shows significant improvement over state-of-the-art pairwise registration approaches.
Involved external institutions
United Kingdom (GB)How to cite
APA:
Papiez, B.W., Mcgowan, D.R., Skwarski, M., Higgins, G.S., Schnabel, J.A., & Brady, S.M. (2018). Fast groupwise 4D deformable image registration for irregular breathing motion estimation. In Stefan Klein, Stefan Sommer, Stanley Durrleman, Marius Staring (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 37-46). Leiden, NLD: Springer Verlag.
MLA:
Papiez, Bartlomiej W., et al. "Fast groupwise 4D deformable image registration for irregular breathing motion estimation." Proceedings of the 8th International Workshop on Biomedical Image Registration, WBIR 2018, Leiden, NLD Ed. Stefan Klein, Stefan Sommer, Stanley Durrleman, Marius Staring, Springer Verlag, 2018. 37-46.
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