Validation of high-resolution water-excitation magnetic resonance imaging for quantitative assessment of thin cartilage layers

Graichen, Heiko; Springer, Verena; Flaman, T; Stammberger, Tobias; Gläser, Christian; Englmeier, Karl-Hans; Reiser, Maximilian; Eckstein, F.

doi:10.1053/joca.1999.0278

Cited by 73 publications

(49 citation statements)

References 47 publications

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“…This is accomplished by either spectral fat saturation using a prepulse tuned to the resonant frequency of fat (40,(71)(72)(73) or by frequency-selective water excitation (74)(75)(76)(77)(78). Acquisition times are generally shorter for selective water-excitation protocols.…”

Section: Quantitative Measurementsmentioning

confidence: 99%

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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: Quantitative Measurementsmentioning

confidence: 99%

“…Apart from the knee, validation studies have also been performed at the hip (124), ankle (125), shoulder (126), elbow (76) and metacarpophalageal joints (127), but these have so far been confined to 1.5 T.…”

Section: Technical Accuracy and Precision Of Measurementsmentioning

confidence: 99%

Quantitative MRI of cartilage and bone: degenerative changes in osteoarthritis

2006

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“…It is an excellent research instrument for articular tissue and there is considerable potential for expansion of the role of MRI in clinical practice. [13][14][15][16] Extensive work by Eckstein et al [17][18][19][20] has shown spoiled 3D gradient echo (FLASH) sequences with water excitation to be particularly useful. However, most articular cartilage imaging work has concentrated on the knee joint, [21][22][23][24][25][26] which displays the thickest articular cartilage layers in the human body.…”

Section: Introductionmentioning

confidence: 99%

“…However, most articular cartilage imaging work has concentrated on the knee joint, [21][22][23][24][25][26] which displays the thickest articular cartilage layers in the human body. There have been a few notable investigations 17,20,27,28 that have examined joints with thinner articular cartilage layers (<3 mm thick), which are more typical for joints of the human body.…”

Section: Introductionmentioning

confidence: 99%

Quantitative and topographical evaluation of ankle articular cartilage using high resolution MRI

Millington

Tang

et al. 2006

Journal Orthopaedic Research

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The objectives of this study were to quantitatively evaluate the articular cartilage layers of the ankle and describe the cartilage topographical distribution across the joint surfaces using high resolution MRI and image segmentation. An anisotropic diffusion noise reduction algorithm and a directional gradient vector flow (dGVF) snake segmentation algorithm were applied to cartilage sensitive MR images. Eight cadaveric ankles were studied. Six repeated data sets were acquired in five of the ankles. Quantitative parameters were calculated for each cartilage layer; coefficients of variation (CV) were calculated from the six repeated data sets; and 3D thickness distribution maps were generated. The noise reduction algorithm produced marked image enhancement. Mean cartilage thickness ranged from 0.91 AE 0.08 mm in the fibula to 1.34 AE 0.14 mm in the talus. Mean cartilage volume was 3.32 AE 0.55 ml, 1.72 AE 0.25 ml, and 0.35 AE 0.06 ml for the talus, tibia, and fibula, respectively. Mean CV ranged 2.82%-5.04% for quantitative parameters in the talus and tibia. The reported noise reduction and segmentation technique allow precise extraction of ankle cartilage and 3D reconstructions show that the thickest cartilage occurs over the talar shoulders, where osteochondritits dissecans (OCD) lesions commonly occur. ß

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“…The 3D distribution of the articular cartilage in other joints, such as knee, shoulder [1], elbow [2], ankle and hind foot [3], has been studied quantitatively using MR imaging in conjunction with computational processing techniques. In recent investigations, the articular cartilage of the hip joint has been visualized using MR imaging [4].…”

Section: Introductionmentioning

confidence: 99%

A Novel Method for Boundary Detection and Thickness Measurement of Two Adjacent Thin Structures from 3-D MR Images

Guo

Cheng

et al. 2015

IEICE Trans. Inf. & Syst.

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SUMMARYTo determine the thickness from MR images, segmentation, that is, boundary detection, of the two adjacent thin structures (e.g., femoral cartilage and acetabular cartilage in the hip joint) is needed before thickness determination. Traditional techniques such as zero-crossings of the second derivatives are not suitable for the detection of these boundaries. A theoretical simulation analysis reveals that the zero-crossing method yields considerable biases in boundary detection and thickness measurement of the two adjacent thin structures from MR images. This paper studies the accurate detection of hip cartilage boundaries in the image plane, and a new method based on a model of the MR imaging process is proposed for this application. Based on the newly developed model, a hip cartilage boundary detection algorithm is developed. The in-plane thickness is computed based on the boundaries detected using the proposed algorithm. In order to correct the image plane thickness for overestimation due to oblique slicing, a three-dimensional (3-D) thickness computation approach is introduced. Experimental results show that the thickness measurement obtained by the new thickness computation approach is more accurate than that obtained by the existing thickness computation approaches.

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Validation of high-resolution water-excitation magnetic resonance imaging for quantitative assessment of thin cartilage layers

Abstract: The technique presented can be applied for determining the cartilage volume and 3D thickness in joints with thin cartilage layers with a reasonable degree of accuracy.

Cited by 73 publications

References 47 publications

Quantitative MRI of cartilage and bone: degenerative changes in osteoarthritis

Quantitative MRI of cartilage and bone: degenerative changes in osteoarthritis

Quantitative and topographical evaluation of ankle articular cartilage using high resolution MRI

A Novel Method for Boundary Detection and Thickness Measurement of Two Adjacent Thin Structures from 3-D MR Images

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