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Fast Groupwise 4D Deformable Image Registration for Irregular Breathing Motion Estimation

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 ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/978-3-319-92258-4_4

Authors


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Institution:
University of Oxford
Division:
MPLS Division
Department:
Doctoral Training Centre - MPLS
Oxford college:
Keble College
Role:
Author
ORCID:
0000-0002-6880-5687
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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Oncology
Role:
Author
ORCID:
0000-0003-3072-909X
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Publisher:
Springer Verlag Publisher's website
Journal:
Lecture Notes in Computer Science Journal website
Volume:
10883
Pages:
37-46
Series:
Lecture Notes in Computer Science
Host title:
Biomedical Image Registration
Publication date:
2018-05-24
Acceptance date:
2018-03-01
DOI:
ISSN:
1611-3349 and 0302-9743
Source identifiers:
858417
ISBN:
9783319922577
Keywords:
Pubs id:
pubs:858417
UUID:
uuid:5567b844-1837-46e2-9156-60b2f32b2f05
Local pid:
pubs:858417
Deposit date:
2019-03-11

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