Comparison of volume estimation methods for pancreatic islet cells
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00303669" target="_blank" >RIV/68407700:21230/16:00303669 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/16:10328823 RIV/00023001:_____/16:00060170
Result on the web
<a href="http://dx.doi.org/10.1117/12.2216783" target="_blank" >http://dx.doi.org/10.1117/12.2216783</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/12.2216783" target="_blank" >10.1117/12.2216783</a>
Alternative languages
Result language
angličtina
Original language name
Comparison of volume estimation methods for pancreatic islet cells
Original language description
In this contribution we study different methods of automatic volume estimation for pancreatic islets which can be used in the quality control step prior to the islet transplantation. The total islet volume is an important criterion in the quality control. Also, the individual islet volume distribution is interesting it has been indicated that smaller islets can be more effective. A 2D image of a microscopy slice containing the islets is acquired. The input of the volume estimation methods are segmented images of individual islets. The segmentation step is not discussed here. We consider simple methods of volume estimation assuming that the islets have spherical or ellipsoidal shape. We also consider a local stereological method, namely the nucleator. The nucleator does not rely on any shape assumptions and provides unbiased estimates if isotropic sections through the islets are observed. We present a simulation study comparing the performance of the volume estimation methods in different scenarios and an experimental study comparing the methods on a real dataset.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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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
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging
ISBN
978-1-5106-0023-2
ISSN
1605-7422
e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
SPIE
Place of publication
Bellingham
Event location
San Diego
Event date
Mar 1, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000378223800051