VOLUME ESTIMATION FROM SINGLE IMAGES: AN APPLICATION TO PANCREATIC ISLETS

Authors

  • Jiří Dvořák Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic http://orcid.org/0000-0003-3290-8518
  • Jan Švihlík Biomedical Imaging Algorithms (BIA) group, Center for Machine Perception, Faculty of Electrical Engineering, Czech Technical University, Prague, Czech Republic; Department of Computing and Control Engineering, Faculty of Chemical Engineering, University of Chemistry and Technology, Prague, Czech Republic
  • Jan Kybic Biomedical Imaging Algorithms (BIA) group, Center for Machine Perception, Faculty of Electrical Engineering, Czech Technical University, Prague, Czech Republic
  • Barbora Radochová Department of Biomathematics, Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic
  • Jiří Janáček Department of Biomathematics, Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic
  • Jaromír Kukal Department of Software Engineering, Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University, Prague, Czech Republic
  • Jiří Borovec Biomedical Imaging Algorithms (BIA) group, Center for Machine Perception, Faculty of Electrical Engineering, Czech Technical University, Prague, Czech Republic
  • David Habart Institute for Clinical and Experimental Medicine, Prague, Czech Republic

DOI:

https://doi.org/10.5566/ias.1869

Keywords:

Fakir probes, pancreatic islets, single image, volume estimation, 2D projection

Abstract

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 semi-automatical 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.

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Published

2018-12-06

How to Cite

Dvořák, J., Švihlík, J., Kybic, J., Radochová, B., Janáček, J., Kukal, J., … Habart, D. (2018). VOLUME ESTIMATION FROM SINGLE IMAGES: AN APPLICATION TO PANCREATIC ISLETS. Image Analysis and Stereology, 37(3), 191–204. https://doi.org/10.5566/ias.1869

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Original Research Paper

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