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Quantitative imaging of excised osteoarthritic cartilage using spectral CT
Objectives: To quantify iodine uptake in articular cartilage as a marker of glycosaminoglycan (GAG) content using multi-energy spectral CT. Methods: We incubated a 25-mm strip of excised osteoarthritic human tibial plateau in 50 % ionic iodine contrast and imaged it using a small-animal spectra...
Autores principales: | , , , , , , , , , , , |
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Lenguaje: | eng |
Publicado: |
2017
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/s00330-016-4374-7 http://cds.cern.ch/record/2270769 |
_version_ | 1780954952530657280 |
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author | Rajendran, Kishore Löbker, Caroline Schon, Benjamin S Bateman, Christopher J Younis, Raja Aamir de Ruiter, Niels J A Chernoglazov, Alex I Ramyar, Mohsen Hooper, Gary J Butler, Anthony P H Woodfield, Tim B F Anderson, Nigel G |
author_facet | Rajendran, Kishore Löbker, Caroline Schon, Benjamin S Bateman, Christopher J Younis, Raja Aamir de Ruiter, Niels J A Chernoglazov, Alex I Ramyar, Mohsen Hooper, Gary J Butler, Anthony P H Woodfield, Tim B F Anderson, Nigel G |
author_sort | Rajendran, Kishore |
collection | CERN |
description | Objectives:
To quantify iodine uptake in articular cartilage as a marker of glycosaminoglycan (GAG) content using multi-energy spectral CT.
Methods:
We incubated a 25-mm strip of excised osteoarthritic human tibial plateau in 50 % ionic iodine contrast and imaged it using a small-animal spectral scanner with a cadmium telluride photon-processing detector to quantify the iodine through the thickness of the articular cartilage. We imaged both spectroscopic phantoms and osteoarthritic tibial plateau samples. The iodine distribution as an inverse marker of GAG content was presented in the form of 2D and 3D images after applying a basis material decomposition technique to separate iodine in cartilage from bone. We compared this result with a histological section stained for GAG.
Results:
The iodine in cartilage could be distinguished from subchondral bone and quantified using multi-energy CT. The articular cartilage showed variation in iodine concentration throughout its thickness which appeared to be inversely related to GAG distribution observed in histological sections.
Conclusions:
Multi-energy CT can quantify ionic iodine contrast (as a marker of GAG content) within articular cartilage and distinguish it from bone by exploiting the energy-specific attenuation profiles of the associated materials. |
id | oai-inspirehep.net-1605069 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2017 |
record_format | invenio |
spelling | oai-inspirehep.net-16050692019-09-30T06:29:59Zdoi:10.1007/s00330-016-4374-7http://cds.cern.ch/record/2270769engRajendran, KishoreLöbker, CarolineSchon, Benjamin SBateman, Christopher JYounis, Raja Aamirde Ruiter, Niels J AChernoglazov, Alex IRamyar, MohsenHooper, Gary JButler, Anthony P HWoodfield, Tim B FAnderson, Nigel GQuantitative imaging of excised osteoarthritic cartilage using spectral CTDetectors and Experimental TechniquesHealth Physics and Radiation EffectsObjectives: To quantify iodine uptake in articular cartilage as a marker of glycosaminoglycan (GAG) content using multi-energy spectral CT. Methods: We incubated a 25-mm strip of excised osteoarthritic human tibial plateau in 50 % ionic iodine contrast and imaged it using a small-animal spectral scanner with a cadmium telluride photon-processing detector to quantify the iodine through the thickness of the articular cartilage. We imaged both spectroscopic phantoms and osteoarthritic tibial plateau samples. The iodine distribution as an inverse marker of GAG content was presented in the form of 2D and 3D images after applying a basis material decomposition technique to separate iodine in cartilage from bone. We compared this result with a histological section stained for GAG. Results: The iodine in cartilage could be distinguished from subchondral bone and quantified using multi-energy CT. The articular cartilage showed variation in iodine concentration throughout its thickness which appeared to be inversely related to GAG distribution observed in histological sections. Conclusions: Multi-energy CT can quantify ionic iodine contrast (as a marker of GAG content) within articular cartilage and distinguish it from bone by exploiting the energy-specific attenuation profiles of the associated materials.oai:inspirehep.net:16050692017 |
spellingShingle | Detectors and Experimental Techniques Health Physics and Radiation Effects Rajendran, Kishore Löbker, Caroline Schon, Benjamin S Bateman, Christopher J Younis, Raja Aamir de Ruiter, Niels J A Chernoglazov, Alex I Ramyar, Mohsen Hooper, Gary J Butler, Anthony P H Woodfield, Tim B F Anderson, Nigel G Quantitative imaging of excised osteoarthritic cartilage using spectral CT |
title | Quantitative imaging of excised osteoarthritic cartilage using spectral CT |
title_full | Quantitative imaging of excised osteoarthritic cartilage using spectral CT |
title_fullStr | Quantitative imaging of excised osteoarthritic cartilage using spectral CT |
title_full_unstemmed | Quantitative imaging of excised osteoarthritic cartilage using spectral CT |
title_short | Quantitative imaging of excised osteoarthritic cartilage using spectral CT |
title_sort | quantitative imaging of excised osteoarthritic cartilage using spectral ct |
topic | Detectors and Experimental Techniques Health Physics and Radiation Effects |
url | https://dx.doi.org/10.1007/s00330-016-4374-7 http://cds.cern.ch/record/2270769 |
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