MR measurement of articular cartilage thickness distribution in the hip

Naish, Josephine H.; Xanthopoulos, E.; Hutchinson, Charles E.; Waterton, John C.; Taylor, Chris

doi:10.1016/j.joca.2006.03.017

Cited by 32 publications

(55 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Cartilage strain has also been studied in vivo. Interestingly, it was reported that among studies in which a load was applied to the knee or hip for 2 to 4 h the mean magnitude of the recorded cartilage strain was smaller in the in vivo studies [10][11][12] than in the ex vivo studies [2,3,7]. For example, in a study of 6 normal specimens, Herberhold et al reported that the change in the maximal thickness of the knee joint cartilage was 2.8%, which was much smaller than that reported in ex vivo studies, probably due to the much shorter period of loading employed in the latter study [7].…”

Section: Discussionmentioning

confidence: 99%

Early Deformation of Hip Articular Cartilage Under A High Load Before and After Labral Excision

Ito¹,

Nakamura²,

Shimoda³

et al. 2017

J Arthritis

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 99%

Early Deformation of Hip Articular Cartilage Under A High Load Before and After Labral Excision

Ito¹,

Nakamura²,

Shimoda³

et al. 2017

J Arthritis

View full text Add to dashboard Cite

show abstract

“…The ability to measure the cartilage thickness from MRI provides valuable potential to analyze the anatomy and biomechanics of diarthrodial joints, and perhaps more importantly, to study the progression of osteoarthritis (4)(5)(6). MRI-based quantitative cartilage thickness measurement techniques have become increasingly important in clinical applications as well as in fundamental research.…”

mentioning

confidence: 99%

“…The thickness of the acetabular cartilage was defined as the distance between the inner and outer cartilage edge positions. Naish et al (6) carried out the segmentation of the hip cartilage edges from MR images using a semi-automated method based on the livewire algorithm. The cartilage thickness was measured from the distance between the inner and outer cartilage edge positions.…”

mentioning

confidence: 99%

An analysis algorithm for accurate determination of articular cartilage thickness of hip joint from MR images

Cheng

Jin

Zhao

et al. 2011

Magnetic Resonance Imaging

View full text Add to dashboard Cite

Purpose: To test the accuracy of the most widely used technique based on edge detection for thickness measurement of the hip joint cartilage in MR images, and to improve the measurement accuracy by developing a new measurement method based on a model of the MRI process.Materials and Methods: MRI was performed in 3 normal cadaver hips, 25 hips of normal volunteers, and 25 hips of patients with osteoarthritis. In general, thickness was defined as the distance between the two sides of the hip cartilage along the normal directions of the cartilage surfaces. In this article this is referred to as the ''edge detection method.'' A theoretical simulation analysis revealed that the edge detection method considerably underestimated the cartilage thickness of the hip joint. A new measurement method based on a model of the MR imaging process was accordingly proposed for correcting the measurement errors.Results: In the experiment using the cadaver hips, anatomical measurement of cartilage thickness was used as reference standard. For measurements at 35 sites, the proposed model-based method gave results similar to those presented from anatomic section, while the edge detection method gave underestimation compared with the anatomic thickness. The underestimation biases for the edge detection method were consistent with the biases predicted by theoretical simulation. In the experiment using the hips of volunteers and patients, the edge detection result was an underestimation compared with the result generated by using the model-based method. Conclusion:The edge detection method underestimated the hip cartilage thickness in MR images. The proposed model-based method was more accurate than the edge detection method for thickness measurement of the hip cartilage.

show abstract

“…In order to precisely capture small morphological changes, particularly for the individual cartilage layer normally with 1∼3 mm thickness, this segmentation process must be performed with a high level of accuracy, robustness and reliability, which, in most clinical studies, was performed using fully manual or semi-automatic methods (Li et al 2008;Naish et al 2006). The disadvantages of these manual/semiautomated approaches are that they are very time-consuming and require skilled operators with considerable experience but still have considerable inter-and intra-rater variability, particularly under the influence of poor image quality, insufficient tissue contrast and various MR artefacts.…”

Section: Technical Motivationmentioning

confidence: 99%

“…To facilitate this, automated MR-based segmentation approaches are being developed to circumvent the need for extensive time-and expertise-intensive manual/semi-automated segmentation of osteochondral elements in the hip region (Kavanagh et al 2011;Naish et al 2006). In previous MR studies, advanced image analysis approaches such as SSM (Cootes et al 1995), atlas-based and graph search approaches have been successfully applied to automatic bone segmentation of the knee (Ababneh et al 2011;Fripp et al 2007;Shan et al 2012;Yin et al 2010), ankle (Li et al 2005) and spine ) and for use in subsequent segmentation of the cartilage Seim et al 2010).…”

Section: Introductionmentioning

confidence: 99%

Automated segmentation and quantitative analysis of the hip joint from magnetic resonance images

Xia¹

View full text Add to dashboard Cite

The aim of this thesis is to develop a novel computer-aided system with advanced medical image processing approaches. This will allow automatic segmentation and quantification of the osteochondral elements (i.e. the articulating bones and cartilages) from high-resolution three-dimensional (3D) magnetic resonance (MR) images of the hip joint.This research is motivated by the importance of early detection of structural changes and degeneration of the bones and articular cartilages for good patient outcomes, particularly for early and pre-osteoarthritic conditions such as cam-type femoroacetabular impingement (FAI). MR imaging provides an optimal tool for in vivo assessment of the hip joint structure, including the bones and cartilages. This has generated extensive interest in the development of MR technologies to analyse cartilage morphology and assess biochemical compositions of the hyaline cartilage to facilitate early diagnostic and treatment for hip osteoarthritis (OA) and FAI.Quantitative analyses can provide useful morphometric data from complex MR data. In the hip joint, the segmentation of bones and cartilages is an essential prerequisite, which must be accurate, reliable and reproducible, for quantitative measurements. However, this is difficult and is traditionally performed using time-and expert-intensive manual or semi-automatic methods.The hypothesis behind this research is that accurate and reproducible quantitative data can be automatically obtained from high-resolution 3D MR images of the hip joint, through the use of advanced image processing techniques. To this end, this research focuses on two specific aims: Aim 1 -to develop and evaluate a fully automated segmentation approach to deliver accurate and reproducible bone and cartilage segmentations from high-resolution 3D MR images of the hip joint and Aim 2 -to automatically extract reliable and reproducible morphometric data based on the segmented subchondral bones and articular cartilages.The development of an automatic segmentation scheme for the bones and cartilages with high precision and reproducibility is firstly needed in order to provide a basis for subsequent quantitative measurements, which deliver reliable morphometric data of the segmented bones and cartilages for the use in early OA and FAI studies. To attain these aims, images were acquired using different MR sequences from a mixed demographic (male or female and young adult to elderly) of participants with a variety of femoral head-neck junction presentations but no apparent hip OA. Different sequence scans were used to image the same participant for the associated reproducibility experiments.Two state-of-the-art methods (multi-atlas-based and active shape model (ASM) based algorithms) i were developed and evaluated for automatic segmentation of proximal femurs and innominate bones from large field of view (FOV) MR images (water-excitation dual echo steady state (DESS) and multi echo data image combination (MEDIC)). The validation results have indicated accurate and robust...

show abstract

MR measurement of articular cartilage thickness distribution in the hip

Abstract: The technique is reproducible, sensitive to sub-millimetre changes in thickness and may be useful in monitoring changes due to disease progression in patients with arthritis of the hip.

Cited by 32 publications

References 23 publications

Early Deformation of Hip Articular Cartilage Under A High Load Before and After Labral Excision

Early Deformation of Hip Articular Cartilage Under A High Load Before and After Labral Excision

An analysis algorithm for accurate determination of articular cartilage thickness of hip joint from MR images

Automated segmentation and quantitative analysis of the hip joint from magnetic resonance images

Contact Info

Product

Resources

About