Volume estimation from single images: an application to pancreatic islets

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10388752" target="_blank" >RIV/00216208:11320/18:10388752 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/67985823:_____/18:00502138 RIV/68407700:21230/18:00327729 RIV/68407700:21340/18:00327729 RIV/60461373:22340/18:43915866 RIV/00023001:_____/18:00077452

Výsledek na webu

<a href="https://www.ias-iss.org/ojs/IAS/article/view/1869/1081" target="_blank" >https://www.ias-iss.org/ojs/IAS/article/view/1869/1081</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5566/ias.1869" target="_blank" >10.5566/ias.1869</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Volume estimation from single images: an application to pancreatic islets

Popis výsledku v původním jazyce

The present paper deals with the problem of volume estimation of individual objects from a single 2D view. Our main application is volume estimation of pancreatic (Langerhans) islets and the single 2D view constraint comes from the time and equipment limitations of the standard clinical procedure. Two main approaches are followed in this paper. First, two regression-based methods are proposed, using a set of simple shape descriptors of the segmented image of the islet. Second, two example-based methods are proposed, based on a database of islets with known volume. For training and evaluation, islet volumes were determined by OPT microscopy and a stereological volume estimation using the so-called Fakir probes. The performance of the single image volume estimation methods is studied on a set of 99 islets from human donors. Further experiments were also performed on a stone dataset and on synthetic 3D shapes, generated using a flexible stochastic particle model. The proposed methods are fast and the experimental results show that in most situations the proposed methods perform significantly better than the methods currently used in clinical practice, which are based on simple spherical or ellipsoidal models.

Název v anglickém jazyce

Volume estimation from single images: an application to pancreatic islets

Popis výsledku anglicky

The present paper deals with the problem of volume estimation of individual objects from a single 2D view. Our main application is volume estimation of pancreatic (Langerhans) islets and the single 2D view constraint comes from the time and equipment limitations of the standard clinical procedure. Two main approaches are followed in this paper. First, two regression-based methods are proposed, using a set of simple shape descriptors of the segmented image of the islet. Second, two example-based methods are proposed, based on a database of islets with known volume. For training and evaluation, islet volumes were determined by OPT microscopy and a stereological volume estimation using the so-called Fakir probes. The performance of the single image volume estimation methods is studied on a set of 99 islets from human donors. Further experiments were also performed on a stone dataset and on synthetic 3D shapes, generated using a flexible stochastic particle model. The proposed methods are fast and the experimental results show that in most situations the proposed methods perform significantly better than the methods currently used in clinical practice, which are based on simple spherical or ellipsoidal models.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10103 - Statistics and probability

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

Image Analysis and Stereology

ISSN

1580-3139

e-ISSN

—

Svazek periodika

37

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

SI - Slovinská republika

Počet stran výsledku

14

Strana od-do

191-204

Kód UT WoS článku

000452419400002

EID výsledku v databázi Scopus

2-s2.0-85060167746