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

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Standard

Analysis of multiple resolution μ-CT image sets for pore-size distribution estimation. / Aydogan, Baran; Hannula, Markus; Moritz, Niko; Levänen, Erkki; Hyttinen, Jari.

World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics. Vuosikerta 25 4. toim. 2009. s. 1261-1264.

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Harvard

Aydogan, B, Hannula, M, Moritz, N, Levänen, E & Hyttinen, J 2009, Analysis of multiple resolution μ-CT image sets for pore-size distribution estimation. julkaisussa World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics. 4 toim, Vuosikerta. 25, Sivut 1261-1264, World Congress on Medical Physics and Biomedical Engineering, Munich, Saksa, 07/09/2009. https://doi.org/10.1007/978-3-642-03882-2_334

APA

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

Vancouver

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

Author

Aydogan, Baran ; Hannula, Markus ; Moritz, Niko ; Levänen, Erkki ; Hyttinen, Jari. / Analysis of multiple resolution μ-CT image sets for pore-size distribution estimation. World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics. Vuosikerta 25 4. toim. 2009. Sivut 1261-1264

Bibtex - Lataa

@inproceedings{40771ae566d24a2088c68b58514d9685,
title = "Analysis of multiple resolution μ-CT image sets for pore-size distribution estimation",
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.",
keywords = "μ-CT image analysis, Pore-size distribution, Segmentation, Thresholding",
author = "Baran Aydogan and Markus Hannula and Niko Moritz and Erkki Lev{\"a}nen and Jari Hyttinen",
year = "2009",
month = "12",
day = "1",
doi = "10.1007/978-3-642-03882-2_334",
language = "English",
isbn = "9783642038815",
volume = "25",
pages = "1261--1264",
booktitle = "World Congress on Medical Physics and Biomedical Engineering",
edition = "4",

}

RIS - Lataa

TY - GEN

T1 - Analysis of multiple resolution μ-CT image sets for pore-size distribution estimation

AU - Aydogan, Baran

AU - Hannula, Markus

AU - Moritz, Niko

AU - Levänen, Erkki

AU - Hyttinen, Jari

PY - 2009/12/1

Y1 - 2009/12/1

N2 - 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.

AB - 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.

KW - μ-CT image analysis

KW - Pore-size distribution

KW - Segmentation

KW - Thresholding

UR - http://www.scopus.com/inward/record.url?scp=77950183188&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-03882-2_334

DO - 10.1007/978-3-642-03882-2_334

M3 - Conference contribution

AN - SCOPUS:77950183188

SN - 9783642038815

VL - 25

SP - 1261

EP - 1264

BT - World Congress on Medical Physics and Biomedical Engineering

ER -

ID: 29135893