Elastic registration of 3D cartilage surfaces from MR image data for detecting local changes in cartilage thickness

Stammberger, Tobias; Hohe, Jan; Englmeier, Karl‐Hans; Reiser, Maximilian; Eckstein, F.

doi:10.1002/1522-2594(200010)44:4<592::aid-mrm13>3.0.co;2-j

Cited by 49 publications

(40 citation statements)

References 35 publications

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“…These techniques have also been applied to the detection of cartilage lesions, but only a limited number of thickness intervals can be displayed with a limited number of color codes or gray levels. Therefore, registration techniques have been proposed (63,93,(116)(117)(118) that match the bone cartilage interface areas (tAB) of two (or more) data sets that were acquired at different points in time and these techniques permit comparing the regional thickness distribution on a point-by-point basis. Kshirsagar et al (93) suggested that analyzing subvolumes within the joint surface can reduce precision errors versus total volume (VC), and this has recently been confirmed by Koo et al(100).…”

Section: Image Analysis Techniquesmentioning

confidence: 99%

Quantitative MRI of cartilage and bone: degenerative changes in osteoarthritis

2006

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Magnetic resonance imaging (MRI) and quantitative image analysis technology has recently started to generate a great wealth of quantitative information on articular cartilage and bone physiology, pathophysiology and degenerative changes in osteoarthritis. This paper reviews semiquantitative scoring of changes of articular tissues (e.g. WORMS ¼ whole-organ MRI scoring or KOSS ¼ knee osteoarthritis scoring system), quantification of cartilage morphology (e.g. volume and thickness), quantitative measurements of cartilage composition (e.g. T 2 , T 1rho , T 1Gd ¼ dGEMRIC index) and quantitative measurement of bone structure (e.g. app. BV/TV, app. TbTh, app. Tb.N, app. Tb.Sp) in osteoarthritis. For each of these fields we describe the hardware and MRI sequences available, the image analysis systems and techniques used to derive semiquantitative and quantitative parameters, the technical accuracy and precision of the measurements reported to date and current results from cross-sectional and longitudinal studies in osteoarthritis. Moreover, the paper summarizes studies that have compared MRI-based measurements with radiography and discusses future perspectives of quantitative MRI in osteoarthritis. In summary, the above methodologies show great promise for elucidating the pathophysiology of various tissues and identifying risk factors of osteoarthritis, for developing structure modifying drugs (DMOADs) and for combating osteoarthritis with new and better therapy. Copyright # 2006 John Wiley & Sons, Ltd.KEYWORDS: osteoarthritis; joint; cartilage; bone; magnetic resonance imaging; knee; image analysis; disease-modifying drugs RATIONALE FOR QUANTITATIVE MRI OF CARTILAGE AND BONE IN OSTEOARTHRITISThe health and integrity of diarthrodial (synovial) joints are prerequisites for pain-free movement and have a major impact on the quality of life. However, the population of individuals above the age of 65 years is rapidly growing and 70% of the women and 60% of the men aged 65 years or older suffer from degenerative joint disease [¼ osteoarthritis (OA)] (1-7). OA has been defined by the American College of Rheumatology (ACR) as a 'heterogeneous group of conditions that leads to joint symptoms and signs which are associated with defective integrity of articular cartilage, in addition to related changes in the underlying bone at the joint margins'. It remains an open question whether the initial changes take place in cartilage or bone or other articular tissues and, more importantly, what the causal relationship between these changes is (5-19). Also, within each NMR IN BIOMEDICINE NMR Biomed. 2006; 19: 822-854 Published online in Wiley InterScience (www.interscience.wiley.com). DOI:10.1002/nbm.1063 narrowing; JSW, joint space width; K, knee; KLG, Kellgren Lawrence grade; KOSS, knee osteoarthritis scoring system; LF, lateral femoral condyle; LT, lateral tibia; MRI, magnetic resonance imaging; MF, medial femoral condyle; MT, medial tibia; OA, osteoarthritis; OAI, Osteoarthritis Initiative; P, patella; PGs, proteoglycans;...

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Section: Image Analysis Techniquesmentioning

confidence: 99%

Quantitative MRI of cartilage and bone: degenerative changes in osteoarthritis

2006

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“…These regional analyses clearly indicate that cartilage loss occurs in a spatially heterogeneous manner and sometimes, in very localized regions. Stammberger et al proposed elastic registration of 3D cartilage surfaces to detect local changes in cartilage thickness; in both synthetic and volunteer data, thickness differences recovered from the registration method were similar to that from using Euclidean distance transformations (Stammberger et al, 2000). Cohen et al generated templates of cartilage of the patellofemoral joint and demonstrated the potential of using the standard thickness maps by comparing it with thickness maps generated for individual patients to identify regions with maximum loss of cartilage in patients with Osteoarthritis (Cohen et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

An Atlas-Based Approach to Study Morphological Differences in Human Femoral Cartilage Between Subjects from Incidence and Progression Cohorts: MRI Data from Osteoarthritis Initiative

Tameem¹,

Sinha²

2012

Principles of Osteoarthritis- Its Definition, Character, Derivation and Modality-Related Recognition

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“…Only a limited number of studies have applied the image registration to monitor quantitative changes of cartilage [3]. In literature [3], Stammberger et al used a 3D elastic registration method to identify the corresponding points of the bone-cartilage interface for quantifying the local cartilage thickness changes.…”

Section: Introductionmentioning

confidence: 99%

“…In literature [3], Stammberger et al used a 3D elastic registration method to identify the corresponding points of the bone-cartilage interface for quantifying the local cartilage thickness changes. This has two noticeable problems: 1) the algorithm depends of the accuracy in normal vector of both surfaces; 2) there is a lack of evaluation of the registration accuracy using the anatomical mark points.…”

Section: Introductionmentioning

confidence: 99%

Automatic 3D MR Image Registration and Its Evaluation for Precise Monitoring of Knee Joint Disease

Cheng

Jin

Tanaka

et al. 2011

IEICE Trans. Inf. & Syst.

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SUMMARYWe describe a technique for the registration of three dimensional (3D) knee femur surface points from MR image data sets; it is a technique that can track local cartilage thickness changes over time. In the first coarse registration step, we use the direction vectors of the volume given by the cloud of points of the MR image to correct for different knee joint positions and orientations in the MR scanner. In the second fine registration step, we propose a global search algorithm that simultaneously determines the optimal transformation parameters and point correspondences through searching a six dimensional space of Euclidean motion vectors (translation and rotation). The present algorithm is grounded on a mathematical theory -Lipschitz optimization. Compared with the other three registration approaches (ICP, EM-ICP, and genetic algorithms), the proposed method achieved the highest registration accuracy on both animal and clinical data.

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Elastic registration of 3D cartilage surfaces from MR image data for detecting local changes in cartilage thickness

Cited by 49 publications

References 35 publications

Quantitative MRI of cartilage and bone: degenerative changes in osteoarthritis

Quantitative MRI of cartilage and bone: degenerative changes in osteoarthritis

An Atlas-Based Approach to Study Morphological Differences in Human Femoral Cartilage Between Subjects from Incidence and Progression Cohorts: MRI Data from Osteoarthritis Initiative

Automatic 3D MR Image Registration and Its Evaluation for Precise Monitoring of Knee Joint Disease

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