Automatic joint detection in rheumatoid arthritis hand radiographs

Yinghe Huo; Koen L. Vincken; Max A. Viergever; Floris P. Lafeber

doi:10.1109/ISBI.2013.6556428

Automatic joint detection in rheumatoid arthritis hand radiographs

Yinghe Huo, Koen L. Vincken, Max A. Viergever, Floris P. Lafeber

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

8 Citations (Scopus)

Abstract

The measurement of joint space width (JSW) in hand x-ray images of patients suffering from Rheumatoid Arthritis (RA) is a time consuming task for radiologists. Manual assessment lacks accuracy and is observer-dependent, which hinders an accurate evaluation of joint degeneration in early diagnosis and follow-up studies. Automatic analysis of the JSW is crucial with regard to standardization, sensitivity, and reproducibility. In this paper, we focus on both joint location and joint margin detection. For the evaluation, five hand radiographs from RA patients, in which the joints have been manually delineated, are used. All finger joints are located correctly with margins differing 0.1 mm on average from the manual delineation.

Original language	English
Title of host publication	ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro
Pages	125-128
Number of pages	4
DOIs	https://doi.org/10.1109/ISBI.2013.6556428
Publication status	Published - 22 Aug 2013
Event	2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 - San Francisco, CA, United States Duration: 7 Apr 2013 → 11 Apr 2013

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Conference

Conference	2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013
Country/Territory	United States
City	San Francisco, CA
Period	7/04/13 → 11/04/13

Keywords

automatic joint detection
hand bone segmentation
joint margin
Rheumatoid Arthritis

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10.1109/ISBI.2013.6556428

Cite this

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title = "Automatic joint detection in rheumatoid arthritis hand radiographs",

abstract = "The measurement of joint space width (JSW) in hand x-ray images of patients suffering from Rheumatoid Arthritis (RA) is a time consuming task for radiologists. Manual assessment lacks accuracy and is observer-dependent, which hinders an accurate evaluation of joint degeneration in early diagnosis and follow-up studies. Automatic analysis of the JSW is crucial with regard to standardization, sensitivity, and reproducibility. In this paper, we focus on both joint location and joint margin detection. For the evaluation, five hand radiographs from RA patients, in which the joints have been manually delineated, are used. All finger joints are located correctly with margins differing 0.1 mm on average from the manual delineation.",

keywords = "automatic joint detection, hand bone segmentation, joint margin, Rheumatoid Arthritis",

author = "Yinghe Huo and Vincken, {Koen L.} and Viergever, {Max A.} and Lafeber, {Floris P.}",

year = "2013",

month = aug,

day = "22",

doi = "10.1109/ISBI.2013.6556428",

language = "English",

isbn = "9781467364546",

series = "Proceedings - International Symposium on Biomedical Imaging",

pages = "125--128",

booktitle = "ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging",

note = "2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 ; Conference date: 07-04-2013 Through 11-04-2013",

}

Huo, Y, Vincken, KL , Viergever, MA & Lafeber, FP 2013, Automatic joint detection in rheumatoid arthritis hand radiographs. in ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro., 6556428, Proceedings - International Symposium on Biomedical Imaging, pp. 125-128, 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013, San Francisco, CA, United States, 7/04/13. https://doi.org/10.1109/ISBI.2013.6556428

Automatic joint detection in rheumatoid arthritis hand radiographs. / Huo, Yinghe; Vincken, Koen L.; Viergever, Max A. et al.
ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro. 2013. p. 125-128 6556428 (Proceedings - International Symposium on Biomedical Imaging).

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

TY - GEN

T1 - Automatic joint detection in rheumatoid arthritis hand radiographs

AU - Huo, Yinghe

AU - Vincken, Koen L.

AU - Viergever, Max A.

AU - Lafeber, Floris P.

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N2 - The measurement of joint space width (JSW) in hand x-ray images of patients suffering from Rheumatoid Arthritis (RA) is a time consuming task for radiologists. Manual assessment lacks accuracy and is observer-dependent, which hinders an accurate evaluation of joint degeneration in early diagnosis and follow-up studies. Automatic analysis of the JSW is crucial with regard to standardization, sensitivity, and reproducibility. In this paper, we focus on both joint location and joint margin detection. For the evaluation, five hand radiographs from RA patients, in which the joints have been manually delineated, are used. All finger joints are located correctly with margins differing 0.1 mm on average from the manual delineation.

AB - The measurement of joint space width (JSW) in hand x-ray images of patients suffering from Rheumatoid Arthritis (RA) is a time consuming task for radiologists. Manual assessment lacks accuracy and is observer-dependent, which hinders an accurate evaluation of joint degeneration in early diagnosis and follow-up studies. Automatic analysis of the JSW is crucial with regard to standardization, sensitivity, and reproducibility. In this paper, we focus on both joint location and joint margin detection. For the evaluation, five hand radiographs from RA patients, in which the joints have been manually delineated, are used. All finger joints are located correctly with margins differing 0.1 mm on average from the manual delineation.

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KW - hand bone segmentation

KW - joint margin

KW - Rheumatoid Arthritis

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Y2 - 7 April 2013 through 11 April 2013

ER -

Automatic joint detection in rheumatoid arthritis hand radiographs

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Keywords

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