Literature DB >> 18561662

Automated selection of trabecular bone regions in knee radiographs.

P Podsiadlo1, M Wolski, G W Stachowiak.   

Abstract

Osteoarthritic (OA) changes in knee joints can be assessed by analyzing the structure of trabecular bone (TB) in the tibia. This analysis is performed on TB regions selected manually by a human operator on x-ray images. Manual selection is time-consuming, tedious, and expensive. Even if a radiologist expert or highly trained person is available to select regions, high inter- and intraobserver variabilities are still possible. A fully automated image segmentation method was, therefore, developed to select the bone regions for numerical analyses of changes in bone structures. The newly developed method consists of image preprocessing, delineation of cortical bone plates (active shape model), and location of regions of interest (ROI). The method was trained on an independent set of 40 x-ray images. Automatically selected regions were compared to the "gold standard" that contains ROIs selected manually by a radiologist expert on 132 x-ray images. All images were acquired from subjects locked in a standardized standing position using a radiography rig. The size of each ROI is 12.8 x 12.8 mm. The automated method results showed a good agreement with the gold standard [similarity index (SI) = 0.83 (medial) and 0.81 (lateral) and the offset =[-1.78, 1.27]x[-0.65,0.26] mm (medial) and [-2.15, 1.59]x[-0.58, 0.52] mm (lateral)]. Bland and Altman plots were constructed for fractal signatures, and changes of fractal dimensions (FD) to region offsets calculated between the gold standard and automatically selected regions were calculated. The plots showed a random scatter and the 95% confidence intervals were (-0.006, 0.008) and (-0.001, 0.011). The changes of FDs to region offsets were less than 0.035. Previous studies showed that differences in FDs between non-OA and OA bone regions were greater than 0.05. ROIs were also selected by a second radiologist and then evaluated. Results indicated that the newly developed method could replace a human operator and produces bone regions with an accuracy that is sufficient for fractal analyses of bone texture.

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Year:  2008        PMID: 18561662     DOI: 10.1118/1.2905025

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  8 in total

1.  Progression analysis and stage discovery in continuous physiological processes using image computing.

Authors:  Lior Shamir; Salim Rahimi; Nikita Orlov; Luigi Ferrucci; Ilya G Goldberg
Journal:  EURASIP J Bioinform Syst Biol       Date:  2010-06-30

2.  Baseline trabecular bone and its relation to incident radiographic knee osteoarthritis and increase in joint space narrowing score: directional fractal signature analysis in the MOST study.

Authors:  P Podsiadlo; M C Nevitt; M Wolski; G W Stachowiak; J A Lynch; I Tolstykh; D T Felson; N A Segal; C E Lewis; M Englund
Journal:  Osteoarthritis Cartilage       Date:  2016-05-07       Impact factor: 6.576

3.  A computer analysis method for correlating knee X-rays with continuous indicators.

Authors:  Lior Shamir
Journal:  Int J Comput Assist Radiol Surg       Date:  2011-03-04       Impact factor: 2.924

4.  Early detection of radiographic knee osteoarthritis using computer-aided analysis.

Authors:  L Shamir; S M Ling; W Scott; M Hochberg; L Ferrucci; I G Goldberg
Journal:  Osteoarthritis Cartilage       Date:  2009-04-22       Impact factor: 6.576

5.  Biometric identification using knee X-rays.

Authors:  Lior Shamir; Shari Ling; Salim Rahimi; Luigi Ferrucci; Ilya G Goldberg
Journal:  Int J Biom       Date:  2009-01-01

6.  Osteoarthritis classification using self organizing map based on gabor kernel and contrast-limited adaptive histogram equalization.

Authors:  Lilik Anifah; I Ketut Eddy Purnama; Mochamad Hariadi; Mauridhi Hery Purnomo
Journal:  Open Biomed Eng J       Date:  2013-02-28

7.  Differences in tibial subchondral bone structure evaluated using plain radiographs between knees with and without cartilage damage or bone marrow lesions - the Oulu Knee Osteoarthritis study.

Authors:  Jukka Hirvasniemi; Jérôme Thevenot; Ali Guermazi; Jana Podlipská; Frank W Roemer; Miika T Nieminen; Simo Saarakkala
Journal:  Eur Radiol       Date:  2017-04-24       Impact factor: 5.315

Review 8.  Trabecular bone texture analysis of conventional radiographs in the assessment of knee osteoarthritis: review and viewpoint.

Authors:  Ahmad Almhdie-Imjabbar; Pawel Podsiadlo; Richard Ljuhar; Rachid Jennane; Khac-Lan Nguyen; Hechmi Toumi; Simo Saarakkala; Eric Lespessailles
Journal:  Arthritis Res Ther       Date:  2021-08-06       Impact factor: 5.156

  8 in total

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