Analysis of multiple resolution μ-CT image sets for pore-size distribution estimation

Baran Aydogan*, Markus Hannula, Niko Moritz, Erkki Levänen, Jari Hyttinen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

1 Citation (Scopus)

Abstract

In this paper we are analyzing multiple μ-CT image sets to estimate pore-size distribution based on minimum visible pore-size at a given resolution. As similar approaches rely strongly on segmentation results, we are evaluating and comparing 5 different thresholding based segmentation approaches. The application of the method is demonstrated on Al2O3 bulk imaged at 7 different resolutions.

Original languageEnglish
Title of host publicationWorld Congress on Medical Physics and Biomedical Engineering
Subtitle of host publicationImage Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
Pages1261-1264
Number of pages4
Volume25
Edition4
DOIs
Publication statusPublished - 1 Dec 2009
MoE publication typeA4 Article in a conference publication
EventWorld Congress on Medical Physics and Biomedical Engineering - Munich, Germany
Duration: 7 Sep 200912 Sep 2009

Conference

ConferenceWorld Congress on Medical Physics and Biomedical Engineering
CountryGermany
CityMunich
Period07/09/200912/09/2009

Keywords

  • μ-CT image analysis
  • Pore-size distribution
  • Segmentation
  • Thresholding

Fingerprint Dive into the research topics of 'Analysis of multiple resolution μ-CT image sets for pore-size distribution estimation'. Together they form a unique fingerprint.

  • Cite this

    Aydogan, B., Hannula, M., Moritz, N., Levänen, E., & Hyttinen, J. (2009). Analysis of multiple resolution μ-CT image sets for pore-size distribution estimation. In World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics (4 ed., Vol. 25, pp. 1261-1264) https://doi.org/10.1007/978-3-642-03882-2_334