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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
Version:
Publisher's version

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Publisher copy:
10.1016/j.media.2017.03.004

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Department:
Oxford, MPLS, Engineering Science
Role:
Author
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Department:
Oxford, MSD, NDM, Human Genetics Wt Centre
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Author
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Funding agency for:
Casero, R
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Funding agency for:
Schneider, JE
Publisher:
Elsevier Publisher's website
Journal:
Medical Image Analysis Journal website
Volume:
38
Pages:
184–204
Publication date:
2017-03-05
Acceptance date:
2017-03-21
DOI:
EISSN:
1361-8423
ISSN:
1361-8415,
Pubs id:
pubs:687086
URN:
uri:2215578e-fb20-4f26-8ce3-2a36200921ed
UUID:
uuid:2215578e-fb20-4f26-8ce3-2a36200921ed
Local pid:
pubs:687086

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