Literature DB >> 21773988

Atlas-based knee cartilage assessment.

Julio Carballido-Gamio1, Sharmila Majumdar.   

Abstract

Magnetic resonance imaging analysis of knee cartilage properties at corresponding anatomic locations could be a valuable tool in studies of knee osteoarthritis by enabling accurate comparisons at practically any region. A technique of this kind is presented in this study. The proposed technique is based on gray-level bone matching using affine transformations and free-form deformations thus eliminating the need of bone segmentations and landmark matching. Sixteen subjects of the osteoarthritis initiative with knee osteoarthritis (10 from baseline; 6 from 24-month follow-up) were included in this study. Baseline subjects were used to create a gray-level atlas of the patella with its corresponding mean cartilage thickness and T2 maps. Follow-up subjects were used to validate atlas-based point-to-point cartilage comparisons. All registrations were qualitatively evaluated with fused gray-level images of registered patellas. Quantitative evaluation was performed based on mean values of minimum Euclidean distances between matched bone-cartilage interfaces. A mean distance of 0.554 mm was obtained between the subjects used to build the atlas, and a mean distance of 0.633 mm was found between the atlas and validation subjects. The technique can be applied to other anatomical regions and with other cartilage measures. Qualitative and quantitative results demonstrate the accuracy of the technique and warrant its application in larger cross-sectional and longitudinal studies of osteoarthritis.
Copyright © 2011 Wiley-Liss, Inc.

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Mesh:

Year:  2011        PMID: 21773988      PMCID: PMC3346276          DOI: 10.1002/mrm.22836

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  30 in total

1.  Nonrigid registration using free-form deformations: application to breast MR images.

Authors:  D Rueckert; L I Sonoda; C Hayes; D L Hill; M O Leach; D J Hawkes
Journal:  IEEE Trans Med Imaging       Date:  1999-08       Impact factor: 10.048

2.  Spatial analysis of magnetic resonance T1rho and T2 relaxation times improves classification between subjects with and without osteoarthritis.

Authors:  Julio Carballido-Gamio; Robert Stahl; Gabrielle Blumenkrantz; Adan Romero; Sharmila Majumdar; Thomas M Link
Journal:  Med Phys       Date:  2009-09       Impact factor: 4.071

3.  Anatomically corresponded regional analysis of cartilage in asymptomatic and osteoarthritic knees by statistical shape modelling of the bone.

Authors:  Tomos G Williams; Andrew P Holmes; John C Waterton; Rose A Maciewicz; Charles E Hutchinson; Robert J Moots; Anthony F P Nash; Chris J Taylor
Journal:  IEEE Trans Med Imaging       Date:  2010-04-08       Impact factor: 10.048

4.  Regional analysis of femorotibial cartilage loss in a subsample from the Osteoarthritis Initiative progression subcohort.

Authors:  W Wirth; M-P Hellio Le Graverand; B T Wyman; S Maschek; M Hudelmaier; W Hitzl; M Nevitt; F Eckstein
Journal:  Osteoarthritis Cartilage       Date:  2008-09-11       Impact factor: 6.576

Review 5.  The osteoarthritis initiative: report on the design rationale for the magnetic resonance imaging protocol for the knee.

Authors:  C G Peterfy; E Schneider; M Nevitt
Journal:  Osteoarthritis Cartilage       Date:  2008-09-10       Impact factor: 6.576

6.  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

7.  T2 measurement in articular cartilage: impact of the fitting method on accuracy and precision at low SNR.

Authors:  José G Raya; Olaf Dietrich; Annie Horng; Jürgen Weber; Maximilian F Reiser; Christian Glaser
Journal:  Magn Reson Med       Date:  2010-01       Impact factor: 4.668

8.  New techniques for cartilage magnetic resonance imaging relaxation time analysis: texture analysis of flattened cartilage and localized intra- and inter-subject comparisons.

Authors:  Julio Carballido-Gamio; Thomas M Link; Sharmila Majumdar
Journal:  Magn Reson Med       Date:  2008-06       Impact factor: 4.668

9.  Longitudinal analysis of MRI T(2) knee cartilage laminar organization in a subset of patients from the osteoarthritis initiative.

Authors:  Julio Carballido-Gamio; Gabrielle Blumenkrantz; John A Lynch; Thomas M Link; Sharmila Majumdar
Journal:  Magn Reson Med       Date:  2010-02       Impact factor: 4.668

10.  Voxel-based reproducibility of T2 relaxation time in patellar cartilage at 1.5 T with a new validated 3D rigid registration algorithm.

Authors:  José G Raya; Annie Horng; Olaf Dietrich; Jürgen Weber; Julia Dinges; Elisabeth Mützel; Maximilian F Reiser; Christian Glaser
Journal:  MAGMA       Date:  2009-04-01       Impact factor: 2.310

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  13 in total

1.  Automatic multi-parametric quantification of the proximal femur with quantitative computed tomography.

Authors:  Julio Carballido-Gamio; Serena Bonaretti; Isra Saeed; Roy Harnish; Robert Recker; Andrew J Burghardt; Joyce H Keyak; Tamara Harris; Sundeep Khosla; Thomas F Lang
Journal:  Quant Imaging Med Surg       Date:  2015-08

2.  Spatial distribution and temporal progression of T2 relaxation time values in knee cartilage prior to the onset of cartilage lesions - data from the Osteoarthritis Initiative (OAI).

Authors:  M Kretzschmar; M C Nevitt; B J Schwaiger; G B Joseph; C E McCulloch; T M Link
Journal:  Osteoarthritis Cartilage       Date:  2019-02-23       Impact factor: 6.576

Review 3.  Segmentation of joint and musculoskeletal tissue in the study of arthritis.

Authors:  Valentina Pedoia; Sharmila Majumdar; Thomas M Link
Journal:  MAGMA       Date:  2016-02-25       Impact factor: 2.310

4.  Central osteophytes develop in cartilage with abnormal structure and composition: data from the Osteoarthritis Initiative cohort.

Authors:  Martin Kretzschmar; Ursula Heilmeier; Sarah C Foreman; Gabby B Joseph; Charles E McCulloch; Michael C Nevitt; Thomas M Link
Journal:  Skeletal Radiol       Date:  2019-02-09       Impact factor: 2.199

5.  Fully automated segmentation of cartilage from the MR images of knee using a multi-atlas and local structural analysis method.

Authors:  June-Goo Lee; Serter Gumus; Chan Hong Moon; C Kent Kwoh; Kyongtae Ty Bae
Journal:  Med Phys       Date:  2014-09       Impact factor: 4.071

6.  Physical activity in relation to knee cartilage T2 progression measured with 3 T MRI over a period of 4 years: data from the Osteoarthritis Initiative.

Authors:  W Lin; H Alizai; G B Joseph; W Srikhum; M C Nevitt; J A Lynch; C E McCulloch; T M Link
Journal:  Osteoarthritis Cartilage       Date:  2013-07-04       Impact factor: 6.576

7.  Fully automated patellofemoral MRI segmentation using holistically nested networks: Implications for evaluating patellofemoral osteoarthritis, pain, injury, pathology, and adolescent development.

Authors:  Ruida Cheng; Natalia A Alexandridi; Richard M Smith; Aricia Shen; William Gandler; Evan McCreedy; Matthew J McAuliffe; Frances T Sheehan
Journal:  Magn Reson Med       Date:  2019-08-11       Impact factor: 4.668

8.  Statistical Parametric Mapping of HR-pQCT Images: A Tool for Population-Based Local Comparisons of Micro-Scale Bone Features.

Authors:  Julio Carballido-Gamio; Serena Bonaretti; Galateia J Kazakia; Sundeep Khosla; Sharmila Majumdar; Thomas F Lang; Andrew J Burghardt
Journal:  Ann Biomed Eng       Date:  2016-11-09       Impact factor: 3.934

9.  Longitudinal study using voxel-based relaxometry: Association between cartilage T and T2 and patient reported outcome changes in hip osteoarthritis.

Authors:  Valentina Pedoia; Matthew C Gallo; Richard B Souza; Sharmila Majumdar
Journal:  J Magn Reson Imaging       Date:  2016-09-14       Impact factor: 4.813

10.  Fully automatic analysis of the knee articular cartilage T1ρ relaxation time using voxel-based relaxometry.

Authors:  Valentina Pedoia; Xiaojuan Li; Favian Su; Nathaniel Calixto; Sharmila Majumdar
Journal:  J Magn Reson Imaging       Date:  2015-10-07       Impact factor: 4.813

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