Langerhans islet volume estimation from 3D optical projection tomography
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023001%3A_____%2F17%3A00076329" target="_blank" >RIV/00023001:_____/17:00076329 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/book/10.1007/978-3-319-54427-4?page=3#toc" target="_blank" >https://link.springer.com/book/10.1007/978-3-319-54427-4?page=3#toc</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-54427-4_42" target="_blank" >10.1007/978-3-319-54427-4_42</a>
Alternative languages
Result language
angličtina
Original language name
Langerhans islet volume estimation from 3D optical projection tomography
Original language description
This paper concerns the comparison of automatic volume estimation methods for isolated pancreatic islets. The estimated islet volumes are needed during the process of assessing the islet sample quality prior to the islet transplantation. We study several different methods for automatic volume estimation. For this purpose we acquired a set of projections using optical tomography for a sample of an islet population. Based on these projections we estimated the islet volumes using two stereological methods (the automatic Wulfsohn’s method and the manual fakir method, considered to be the ground truth in this study), together with the filtered back projection followed by 3D segmentation. We have also employed two simple methods, currently used in medical practice, based on fitting a sphere or a prolate ellipsoid to a single binarized 2D islet projections.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
30224 - Radiology, nuclear medicine and medical imaging
Result continuities
Project
<a href="/en/project/GA14-10440S" target="_blank" >GA14-10440S: Automatic analysis of microscopy images of Langerhans islets</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computer Vision – ACCV 2016 Workshops. Part II
ISBN
978-3-319-54427-4
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
12
Pages from-to
583-594
Publisher name
Springer
Place of publication
Cham
Event location
Taipei, TW
Event date
Nov 20, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000426193700042