Comparison of volume estimation methods for pancreatic islet cells

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023001%3A_____%2F16%3A00060170" target="_blank" >RIV/00023001:_____/16:00060170 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21230/16:00303669 RIV/00216208:11320/16:10328823

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Comparison of volume estimation methods for pancreatic islet cells

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Comparison of volume estimation methods for pancreatic islet cells

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

30202 - Endocrinology and metabolism (including diabetes, hormones)

Projekt

<a href="/cs/project/GA14-10440S" target="_blank" >GA14-10440S: Automatická analýza mikroskopických snímků Langerhansových ostrůvků</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Medical Imaging 2016-Biomedical Applications in Molecular, Structural, and Functional Imaging

ISBN

978-1-5106-0023-2

ISSN

0277-786X

e-ISSN

—

Počet stran výsledku

6

Strana od-do

"art. no. 97881K"

Název nakladatele

SPIE

Místo vydání

Bellingham

Místo konání akce

San Diego, US

Datum konání akce

1. 3. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000378223800051