Automatic quantification of radiographic wrist joint space width of patients with rheumatoid arthritis

Yinghe Huo, Koen I Vincken, Desiree van der Heijde, Maria J H De Hair, Floris P Lafeber, Max A Viergever

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

OBJECTIVE: Wrist joint space narrowing is a main radiographic outcome of rheumatoid arthritis (RA). Yet, automatic radiographic wrist joint space width (JSW) quantification for RA patients has not been widely investigated. The aim of this paper is to present an automatic method to quantify the JSW of three wrist joints that are least affected by bone overlapping and are frequently involved in RA. These joints are located around the scaphoid bone, viz. the multangular-navicular, capitate-navicular-lunate, and radiocarpal joints.

METHODS: The joint space around the scaphoid bone is detected by using consecutive searches of separate path segments, where each segment location aids in constraining the subsequent one. For joint margin delineation, first the boundary not affected by X-ray projection is extracted, followed by a backtrace process to obtain the actual joint margin. The accuracy of the quantified JSW is evaluated by comparison with the manually obtained ground truth.

RESULTS: Two of the 50 radiographs used for evaluation of the method did not yield a correct path through all three wrist joints. The delineated joint margins of the remaining 48 radiographs were used for JSW quantification. It was found that 90% of the joints had a JSW deviating less than 20% from the mean JSW of manual indications, with the mean JSW error less than 10%.

CONCLUSION: The proposed method is able to automatically quantify the JSW of radiographic wrist joints reliably.

SIGNIFICANCE: The proposed method may aid clinical researchers to study the progression of wrist joint damage in RA studies.

Original languageEnglish
Article number7835223
Pages (from-to)2695-2703
Number of pages9
JournalIEEE Transactions on Biomedical Engineering
Volume64
Issue number11
DOIs
Publication statusPublished - 2017

Keywords

  • joint space width quantification
  • wrist joint detection
  • Bones
  • Diagnostic radiography
  • Feature extraction
  • Hand bone segmentation
  • Indexes
  • Joints
  • rheumatoid arthritis
  • wrist

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