Generation of 3D Digital Phantoms of Colon Tissue

D 2011

Generation of 3D Digital Phantoms of Colon Tissue

SVOBODA, David, Ondřej HOMOLA and Stanislav STEJSKAL

Basic information

Original name

Generation of 3D Digital Phantoms of Colon Tissue

Authors

SVOBODA, David (203 Czech Republic, guarantor, belonging to the institution), Ondřej HOMOLA (203 Czech Republic, belonging to the institution) and Stanislav STEJSKAL (203 Czech Republic, belonging to the institution)

Edition

LNCS 6754, Part II. Berlin, Heidelberg, Proceedings of 8th International Conference on Image Analysis and Recognition, p. 31-39, 9 pp. 2011

Publisher

Springer-Verlag

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

20200 2.2 Electrical engineering, Electronic engineering, Information engineering

Country of publisher

Canada

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

Impact factor

Impact factor: 0.402 in 2005

RIV identification code

RIV/00216224:14330/11:00067276

Organization unit

Faculty of Informatics

ISBN

978-3-642-21595-7

ISSN

DOI

http://dx.doi.org/10.1007/978-3-642-21596-4_4

UT WoS

000300562000004

Keywords in English

Digital phantom; Colon tissue; Simulation; Haralick texture features

Abstract

V originále

Although segmentation of biomedical image data has been paid a lot of attention for many years, this crucial task still meets the problem of the correctness of the obtained results. Especially in the case of optical microscopy, the ground truth (GT), which is a very important tool for the validation of image processing algorithms, is not available. We have developed a toolkit that generates fully 3D digital phantoms, that represent the structure of the studied biological objects. While former papers concentrated on the modelling of isolated cells (such as blood cells), this work focuses on a representative of tissue image type, namely human colon tissue. This phantom image can be submitted to the engine that simulates the image acquisition process. Such synthetic image can be further processed, e.g. deconvolved or segmented. The results can be compared with the GT derived from the digital phantom and the quality of the applied algorithm can be measured.

Links

LC535, research and development project

Name: Dynamika a organizace chromosomů během buněčného cyklu v normě a patologii

Investor: Ministry of Education, Youth and Sports of the CR, Dynamika a organizace chromosomů během buněčného cyklu v normě a patologii

2B06052, research and development project

Name: Vytipování markerů, screening a časná diagnostika nádorových onemocnění pomocí vysoce automatizovaného zpracování multidimenzionálních biomedicínských obrazů (Acronym: Biomarker)

Investor: Ministry of Education, Youth and Sports of the CR, Determination of markers, screening and early diagnostics of cancer diseases using highly automated processing of multidimensional biomedical images

Citovat

SVOBODA, David, Ondřej HOMOLA and Stanislav STEJSKAL. Generation of 3D Digital Phantoms of Colon Tissue. In M. Kamel and A. Campilho. Proceedings of 8th International Conference on Image Analysis and Recognition. LNCS 6754, Part II. Berlin, Heidelberg: Springer-Verlag, 2011, p. 31-39. ISBN 978-3-642-21595-7. Available from: https://dx.doi.org/10.1007/978-3-642-21596-4_4.

@inproceedings{936280,
   author = {Svoboda, David and Homola, Ondřej and Stejskal, Stanislav},
   address = {Berlin, Heidelberg},
   booktitle = {Proceedings of 8th International Conference on Image Analysis and Recognition},
   doi = {http://dx.doi.org/10.1007/978-3-642-21596-4_4},
   edition = {LNCS 6754, Part II},
   editor = {M. Kamel and A. Campilho},
   keywords = {Digital phantom; Colon tissue; Simulation; Haralick texture features},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Berlin, Heidelberg},
   isbn = {978-3-642-21595-7},
   pages = {31-39},
   publisher = {Springer-Verlag},
   title = {Generation of 3D Digital Phantoms of Colon Tissue},
   year = {2011}
}

TY  - JOUR
ID  - 936280
AU  - Svoboda, David - Homola, Ondřej - Stejskal, Stanislav
PY  - 2011
TI  - Generation of 3D Digital Phantoms of Colon Tissue
PB  - Springer-Verlag
CY  - Berlin, Heidelberg
SN  - 9783642215957
KW  - Digital phantom
KW  - Colon tissue
KW  - Simulation
KW  - Haralick texture features
N2  - Although segmentation of biomedical image data has been paid a lot of attention for many years, this crucial task still meets the problem of the correctness of the obtained results. Especially in the case of optical microscopy, the ground truth (GT), which is a very important tool for the validation of image processing algorithms, is not available. We have developed a toolkit that generates fully 3D digital phantoms, that represent the structure of the studied biological objects. While former papers concentrated on the modelling of isolated cells (such as blood cells), this work focuses on a representative of tissue image type, namely human colon tissue. This phantom image can be submitted to the engine that simulates the image acquisition process. Such synthetic image can be further processed, e.g. deconvolved or segmented. The results can be compared with the GT derived from the digital phantom and the quality of the applied algorithm can be measured.
ER  -

SVOBODA, David, Ondřej HOMOLA and Stanislav STEJSKAL. Generation of 3D Digital Phantoms of Colon Tissue. In M. Kamel and A. Campilho. \textit{Proceedings of 8th International Conference on Image Analysis and Recognition}. LNCS 6754, Part II. Berlin, Heidelberg: Springer-Verlag, 2011, p.~31-39. ISBN~978-3-642-21595-7. Available from: https://dx.doi.org/10.1007/978-3-642-21596-4\_{}4.

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