| Página principal > Quantitative imaging of excised osteoarthritic cartilage using spectral CT |
| Published Articles | |
| Title | Quantitative imaging of excised osteoarthritic cartilage using spectral CT |
| Related title | Quantitative imaging of excised osteoarthritic cartilage using spectral CT |
| Author(s) | Rajendran, Kishore (Otago U.) ; Löbker, Caroline (Otago U.) ; Schon, Benjamin S (Twente U., Enschede) ; Bateman, Christopher J (Otago U.) ; Younis, Raja Aamir (Otago U.) ; de Ruiter, Niels J A (Otago U.) ; Chernoglazov, Alex I (Canterbury U.) ; Ramyar, Mohsen (Otago U.) ; Hooper, Gary J (Otago U.) ; Butler, Anthony P H (Otago U. ; CERN ; MARS Bioimaging, New Zealand) ; Woodfield, Tim B F (Otago U.) ; Anderson, Nigel G (Otago U.) |
| Publication | 2017 |
| Number of pages | 9 |
| In: | Eur. Radiol. 27 (2017) 384-392 |
| DOI | 10.1007/s00330-016-4374-7 |
| Subject category | Detectors and Experimental Techniques ; Health Physics and Radiation Effects |
| Abstract | 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. |