Literature DB >> 26700573

Towards Optical Coherence Tomography-based elastographic evaluation of human cartilage.

Sven Nebelung1, Nicolai Brill2, Felix Müller3, Markus Tingart4, Thomas Pufe5, Dorit Merhof6, Robert Schmitt7, Holger Jahr8, Daniel Truhn9.   

Abstract

Optical Coherence Tomography (OCT) is an imaging technique that allows the surface and subsurface evaluation of semitransparent tissues by generating microscopic cross-sectional images in real time, to millimetre depths and at micrometre resolutions. As the differentiation of cartilage degeneration remains diagnostically challenging to standard imaging modalities, an OCT- and MRI-compatible indentation device for the assessment of cartilage functional properties was developed and validated in the present study. After describing the system design and performing its comprehensive validation, macroscopically intact human cartilage samples (n=5) were indented under control of displacement (δ1=202µm; δ2=405µm; δ3=607µm; δ4=810µm) and simultaneous OCT imaging through a transparent indenter piston in direct contact with the sample; thus, 3-D OCT datasets from surface and subsurface areas were obtained. OCT-based evaluation of loading-induced changes included qualitative assessment of image morphology and signal characteristics. For inter-method cross referencing, the device׳s compatibility with MRI as well as qualitative morphology changes under analogous indentation loading conditions were evaluated by a series of T2 weighted gradient echo sequences. Cartilage thickness measurements were performed using the needle-probe technique prior to OCT and MRI imaging, and subsequently referenced to sample thickness as determined by MRI and histology. Dynamic indentation testing was performed to determine Young׳s modulus for biomechanical reference purposes. Distinct differences in sample thickness as well as corresponding strains were found; however, no significant differences in cartilage thickness were found between the used techniques. Qualitative assessment of OCT and MRI images revealed either distinct or absent sample-specific patterns of morphological changes in relation to indentation loading. For OCT, the tissue area underneath the indenter piston could be qualitatively assessed and displayed in multiple reconstructions, while for MRI, T2 signal characteristics indicated the presence of water and related tissue pressurisation within the sample. In conclusion, the present indentation device has been developed, constructed and validated for qualitative assessment of human cartilage and its response to loading by OCT and MRI. Thereby, it may provide the basis for future quantitative approaches that measure loading-induced deformations within the tissue to generate maps of local tissue properties as well as investigate their relation to degeneration.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cartilage; Functional properties; Indentation; Optical Coherence Tomography; Qualitative evaluation

Mesh:

Year:  2015        PMID: 26700573     DOI: 10.1016/j.jmbbm.2015.11.025

Source DB:  PubMed          Journal:  J Mech Behav Biomed Mater        ISSN: 1878-0180


  4 in total

1.  Morphological, biochemical and mechanical properties of articular cartilage and subchondral bone in rat tibial plateau are age related.

Authors:  Pengling Ren; Haijun Niu; He Gong; Rui Zhang; Yubo Fan
Journal:  J Anat       Date:  2017-12-20       Impact factor: 2.610

Review 2.  Magnetic resonance imaging (MRI) studies of knee joint under mechanical loading: Review.

Authors:  Saeed Jerban; Eric Y Chang; Jiang Du
Journal:  Magn Reson Imaging       Date:  2019-10-25       Impact factor: 2.546

3.  Quantifying birefringence in the bovine model of early osteoarthritis using polarisation-sensitive optical coherence tomography and mechanical indentation.

Authors:  Matthew Goodwin; Bastian Bräuer; Stephen Lewis; Ashvin Thambyah; Frédérique Vanholsbeeck
Journal:  Sci Rep       Date:  2018-06-05       Impact factor: 4.379

4.  Raman needle arthroscopy for in vivo molecular assessment of cartilage.

Authors:  Kimberly R Kroupa; Man I Wu; Juncheng Zhang; Magnus Jensen; Wei Wong; Julie B Engiles; Thomas P Schaer; Mark W Grinstaff; Brian D Snyder; Mads S Bergholt; Michael B Albro
Journal:  J Orthop Res       Date:  2021-08-18       Impact factor: 3.102

  4 in total

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