Langerhans Islet Volume Estimation from 3D Optical Projection Tomography

0485780 - FGÚ 2018 RIV DE eng C - Conference Paper (international conference)
Švihlík, J. - Kybic, J. - Habart, D. - Hlushak, H. - Dvořák, J. - Radochová, Barbora
Langerhans Islet Volume Estimation from 3D Optical Projection Tomography.
Computer Vision – ACCV 2016 Workshops. Cham: Springer, 2017 - (Ma, K.; Lu, J.; Chen, C.), s. 583-594. Lecture Notes in Computer Science, 10117. ISBN 978-3-319-54426-7.
[Asian Conference on Computer Vision /13./. Taipei (TW), 20.11.2016-24.11.2016]
R&D Projects: GA MŠMT(CZ) LM2015062
Institutional support: RVO:67985823
Keywords : Langerhans islets * digital image analysis * optical projection tomography
OECD category: Medical laboratory technology (including laboratory samples analysis

This paper concerns the comparison of automatic volume estimation methods for isolated pancreatic islets. The estimated islet volumes are needed during the process of assessing the islet sample quality prior to the islet transplantation. We study several different methods for automatic volume estimation. For this purpose we acquired a set of projections using optical tomography for a sample of an islet population. Based on these projections we estimated the islet volumes using two stereological methods (the automatic Wulfsohn’s method and the manual fakir method, considered to be the ground truth in this study), together with the filtered back projection followed by 3D segmentation. We have also employed two simple methods, currently used in medical practice, based on fitting a sphere or a prolate ellipsoid to a single binarized 2D islet projections.
Permanent Link: http://hdl.handle.net/11104/0280724