Literature DB >> 9609488

Measurement of localized cartilage volume and thickness of human knee joints by computer analysis of three-dimensional magnetic resonance images.

A A Kshirsagar1, P J Watson, J A Tyler, L D Hall.   

Abstract

RATIONALE AND
OBJECTIVES: This work demonstrates a new method for computerized measurement of the dimensions (thickness and volume) of articular cartilage for any specified region of the human knee joint. Three-dimensional magnetic resonance (MR) images optimized for cartilage contrast have been analyzed using computerized edge-detection techniques, and the reproducibility of articular cartilage thickness and volume measurements is assessed.
METHODS: A fat-suppressed, three-dimensional SPoiled GRass MR sequence (45/7.5/30 degrees) with total scan time of approximately 12 minutes was used to acquire volume images of human knee joints at spatial resolution of 0.6 x 1.2 x 1.2 mm. Measurements were made using six repeated scans for three healthy volunteers over a period of 2 months. The subsequent semi-automated image processing to establish total cartilage volume and cartilage thickness maps for the femur required approximately 60 minutes of operator time.
RESULTS: The mean coefficient of variation for total cartilage volume for the six repeated scans for the three volunteers was 3.8%, and the average coefficient of variation for the user-selected cartilage plugs was 2.0%. The cartilage thickness maps from the repeated scans of the same knee were similar.
CONCLUSIONS: Standard resolution MR images with fat-suppressed contrast lead to an objective and reproducible measurement of spatial dimensions of articular cartilage when analyzed semi-automatically using computerized edge-detection methods.

Entities:  

Mesh:

Year:  1998        PMID: 9609488     DOI: 10.1097/00004424-199805000-00006

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  22 in total

Review 1.  The effects of exercise on human articular cartilage.

Authors:  F Eckstein; M Hudelmaier; R Putz
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Review 2.  Therapeutic targets in osteoarthritis: from today to tomorrow with new imaging technology.

Authors:  J-P Pelletier; J Martel-Pelletier
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3.  Intra- and inter-observer reproducibility of volume measurement of knee cartilage segmented from the OAI MR image set using a novel semi-automated segmentation method.

Authors:  K T Bae; H Shim; C Tao; S Chang; J H Wang; R Boudreau; C K Kwoh
Journal:  Osteoarthritis Cartilage       Date:  2009-06-23       Impact factor: 6.576

4.  Use magnetic resonance imaging to assess articular cartilage.

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5.  Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging.

Authors:  Fang Liu; Zhaoye Zhou; Hyungseok Jang; Alexey Samsonov; Gengyan Zhao; Richard Kijowski
Journal:  Magn Reson Med       Date:  2017-07-21       Impact factor: 4.668

6.  Longitudinal in vivo reproducibility of cartilage volume and surface in osteoarthritis of the knee.

Authors:  M H Brem; J Pauser; H Yoshioka; A Brenning; J Stratmann; F F Hennig; R Kikinis; J Duryea; C S Winalski; P Lang
Journal:  Skeletal Radiol       Date:  2007-01-12       Impact factor: 2.199

7.  Bifunctional Labeling of Rabbit Mesenchymal Stem Cells for MR Imaging and Fluorescence Microscopy.

Authors:  Markus T Berninger; Pablo Rodriguez-Gonzalez; Franz Schilling; Bernhard Haller; Thorsten Lichtenstein; Andreas B Imhoff; Ernst J Rummeny; Martina Anton; Stephan Vogt; Tobias D Henning
Journal:  Mol Imaging Biol       Date:  2020-04       Impact factor: 3.488

8.  Novel fast semi-automated software to segment cartilage for knee MR acquisitions.

Authors:  J Duryea; G Neumann; M H Brem; W Koh; F Noorbakhsh; R D Jackson; J Yu; C B Eaton; P Lang
Journal:  Osteoarthritis Cartilage       Date:  2006-12-22       Impact factor: 6.576

9.  Cartilage imaging at 3.0T with gradient refocused acquisition in the steady-state (GRASS) and IDEAL fat-water separation.

Authors:  Richard Kijowski; Michael Tuite; Leo Passov; Ann Shimakawa; Huanzhou Yu; Huanzhou Hu; Scott B Reeder
Journal:  J Magn Reson Imaging       Date:  2008-07       Impact factor: 4.813

10.  Inter-subject comparison of MRI knee cartilage thickness.

Authors:  Julio Carballido-Gamio; Jan S Bauer; Robert Stahl; Keh-Yang Lee; Stefanie Krause; Thomas M Link; Sharmila Majumdar
Journal:  Med Image Anal       Date:  2007-08-31       Impact factor: 8.545

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