Automatic detection of bones based on the confidence map for Rheumatoid Arthritis analysis

K. Radlak; N. Radlak; B. Smolka

doi:10.1201/b19241-36

Automatic detection of bones based on the confidence map for Rheumatoid Arthritis analysis

K. Radlak
, N. Radlak
, B. Smolka

Department of Data Science and Engineering (RAU/RAU4)

Silesian University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

13 Citations (Scopus)

Abstract

In this paper an application of confidence map for bones surface detection in ultrasound images for Rheumatoid Arthritis is presented. The bone feature descriptor is based on confidence maps, which are directly related with the likelihood of ultrasound transmission and allows for highly accurate localization of the bone surface. The quality of the confidence map has been significantly improved by applying the Trimmed Non-Local Means filtering. The results were evaluated on the publicly available MEDUSA database that contains manually annotated markers of bones surface. This research is a preliminary step in the development of fully automatic system for the assessment of degree of synovitis inflamation.

Original language	English
Title of host publication	Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015
Editors	Joao Manuel R.S. Tavares, R.M. Natal Jorge
Publisher	CRC Press/Balkema
Pages	215-220
Number of pages	6
ISBN (Print)	9781138029262
DOIs	https://doi.org/10.1201/b19241-36
Publication status	Published - 2016
Event	5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015 - Tenerife, Spain Duration: 19 Oct 2015 → 21 Oct 2015

Publication series

Name	Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015

Conference

Conference	5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015
Country/Territory	Spain
City	Tenerife
Period	19/10/15 → 21/10/15

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Biomedical Engineering
Electrical and Electronic Engineering

Access to Document

10.1201/b19241-36

Cite this

Radlak, K., Radlak, N., & Smolka, B. (2016). Automatic detection of bones based on the confidence map for Rheumatoid Arthritis analysis. In J. M. R. S. Tavares, & R. M. N. Jorge (Eds.), Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015 (pp. 215-220). (Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015). CRC Press/Balkema. https://doi.org/10.1201/b19241-36

Radlak, K. ; Radlak, N. ; Smolka, B. / Automatic detection of bones based on the confidence map for Rheumatoid Arthritis analysis. Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015. editor / Joao Manuel R.S. Tavares ; R.M. Natal Jorge. CRC Press/Balkema, 2016. pp. 215-220 (Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015).

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title = "Automatic detection of bones based on the confidence map for Rheumatoid Arthritis analysis",

abstract = "In this paper an application of confidence map for bones surface detection in ultrasound images for Rheumatoid Arthritis is presented. The bone feature descriptor is based on confidence maps, which are directly related with the likelihood of ultrasound transmission and allows for highly accurate localization of the bone surface. The quality of the confidence map has been significantly improved by applying the Trimmed Non-Local Means filtering. The results were evaluated on the publicly available MEDUSA database that contains manually annotated markers of bones surface. This research is a preliminary step in the development of fully automatic system for the assessment of degree of synovitis inflamation.",

author = "K. Radlak and N. Radlak and B. Smolka",

note = "Publisher Copyright: {\textcopyright} 2016 Taylor \& Francis Group, London.; 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015 ; Conference date: 19-10-2015 Through 21-10-2015",

year = "2016",

doi = "10.1201/b19241-36",

language = "English",

isbn = "9781138029262",

series = "Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015",

publisher = "CRC Press/Balkema",

pages = "215--220",

editor = "Tavares, \{Joao Manuel R.S.\} and Jorge, \{R.M. Natal\}",

booktitle = "Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015",

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Radlak, K, Radlak, N & Smolka, B 2016, Automatic detection of bones based on the confidence map for Rheumatoid Arthritis analysis. in JMRS Tavares & RMN Jorge (eds), Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015. Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015, CRC Press/Balkema, pp. 215-220, 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015, Tenerife, Spain, 19/10/15. https://doi.org/10.1201/b19241-36

Automatic detection of bones based on the confidence map for Rheumatoid Arthritis analysis. / Radlak, K.; Radlak, N.; Smolka, B.
Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015. ed. / Joao Manuel R.S. Tavares; R.M. Natal Jorge. CRC Press/Balkema, 2016. p. 215-220 (Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Automatic detection of bones based on the confidence map for Rheumatoid Arthritis analysis

AU - Radlak, K.

AU - Radlak, N.

AU - Smolka, B.

PY - 2016

Y1 - 2016

N2 - In this paper an application of confidence map for bones surface detection in ultrasound images for Rheumatoid Arthritis is presented. The bone feature descriptor is based on confidence maps, which are directly related with the likelihood of ultrasound transmission and allows for highly accurate localization of the bone surface. The quality of the confidence map has been significantly improved by applying the Trimmed Non-Local Means filtering. The results were evaluated on the publicly available MEDUSA database that contains manually annotated markers of bones surface. This research is a preliminary step in the development of fully automatic system for the assessment of degree of synovitis inflamation.

AB - In this paper an application of confidence map for bones surface detection in ultrasound images for Rheumatoid Arthritis is presented. The bone feature descriptor is based on confidence maps, which are directly related with the likelihood of ultrasound transmission and allows for highly accurate localization of the bone surface. The quality of the confidence map has been significantly improved by applying the Trimmed Non-Local Means filtering. The results were evaluated on the publicly available MEDUSA database that contains manually annotated markers of bones surface. This research is a preliminary step in the development of fully automatic system for the assessment of degree of synovitis inflamation.

UR - https://www.scopus.com/pages/publications/84959314666

U2 - 10.1201/b19241-36

DO - 10.1201/b19241-36

M3 - Conference contribution

AN - SCOPUS:84959314666

SN - 9781138029262

T3 - Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015

SP - 215

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BT - Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015

A2 - Tavares, Joao Manuel R.S.

A2 - Jorge, R.M. Natal

PB - CRC Press/Balkema

T2 - 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015

Y2 - 19 October 2015 through 21 October 2015

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Radlak K, Radlak N, Smolka B. Automatic detection of bones based on the confidence map for Rheumatoid Arthritis analysis. In Tavares JMRS, Jorge RMN, editors, Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015. CRC Press/Balkema. 2016. p. 215-220. (Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015). doi: 10.1201/b19241-36

Automatic detection of bones based on the confidence map for Rheumatoid Arthritis analysis

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