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Transformation diffusion reconstruction of three-dimensional histology volumes from two-dimensional image stacks

Abstract:

Traditional histology is the gold standard for tissue studies, but it is intrinsically reliant on two-dimensional (2D) images. Study of volumetric tissue samples such as whole hearts produces a stack of misaligned and distorted 2D images that need to be reconstructed to recover a congruent volume with the original sample's shape. In this paper, we develop a mathematical framework called Transformation Diffusion (TD) for stack alignment refinement as a solution to the heat diffusion equation. ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.media.2017.03.004

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
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Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Human Genetics Wt Centre
Role:
Author
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Funding agency for:
Casero, R
Grant:
preDiCT-EC FP7, 2008-2011
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Funding agency for:
Schneider, J
Grant:
FS/11/50/29038
Publisher:
Elsevier Publisher's website
Journal:
Medical Image Analysis Journal website
Volume:
38
Pages:
184–204
Publication date:
2017-03-01
Acceptance date:
2017-03-21
DOI:
EISSN:
1361-8423
ISSN:
1361-8415,
Keywords:
Pubs id:
pubs:687086
UUID:
uuid:2215578e-fb20-4f26-8ce3-2a36200921ed
Local pid:
pubs:687086
Deposit date:
2017-03-25

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