Volume estimation from single images: an application to pancreatic islets

Result code in 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>
Alternative codes found
RIV/67985823:_____/18:00502138 RIV/68407700:21230/18:00327729 RIV/68407700:21340/18:00327729 RIV/60461373:22340/18:43915866 RIV/00023001:_____/18:00077452
Result on the web
<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>

Result language
angličtina
Original language name
Volume estimation from single images: an application to pancreatic islets
Original language description
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.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10103 - Statistics and probability

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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