Quantitative cartilage imaging using spectral photon-counting detector based computed tomography

Kishore Rajendran, Shengzhen Tao, Amy Benike, Shuai Leng, Cynthia H McCollough

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Glycosaminoglycans (GAG) in the extracellular matrix of the articular cartilage are biomarkers of cartilage health. Loss of GAG has been associated with early stage osteoarthritis, with zonal depletion of intra-articular GAG levels occurring prior to cartilage degeneration. Detecting this biochemical change in articular cartilage may facilitate early diagnosis of osteoarthritis. GAG is negatively-charged and repels anionic contrast media. Increased uptake of anionic contrast agents could be correlated with depleted GAG levels in the cartilage. Photon-counting detector (PCD) based computed tomography (CT) offers high-resolution imaging and x-ray energy discrimination capabilities. This allows delineation of finer anatomical structures, and the generation of quantitative material maps using energy-resolved CT data. In this study, we demonstrate quantitative GAG imaging in porcine cartilage using a research whole-body PCD-CT system and an anionic contrast agent. Hind knee joints were harvested from euthanized pigs. GAG depletion mimicking early-OA was induced using trypsin treatment. Both the control group and the trypsin-treated group were incubated in an anionic gadolinium contrast prior to PCD-CT scanning. The specimens were scanned at ultra-high resolution using the PCD-CT system at 120kV, 330mAs, and [25, 51] keV energy thresholds. An image-domain material decomposition was employed to generate the mass density map for gadolinium in cartilage using energy-resolved PCD-CT data. The results showed significantly higher gadolinium uptake (p < 0.0001) in the trypsin-treated specimens, compared to the control specimens. We demonstrated high-resolution ex vivo cartilage imaging using PCD-CT to quantify gadolinium uptake in articular cartilage as an inverse marker of GAG.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2019
Subtitle of host publicationBiomedical Applications in Molecular, Structural, and Functional Imaging
EditorsBarjor Gimi, Andrzej Krol
PublisherSPIE
ISBN (Electronic)9781510625532
DOIs
StatePublished - Jan 1 2019
EventMedical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging - San Diego, United States
Duration: Feb 19 2019Feb 21 2019

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume10953
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging
CountryUnited States
CitySan Diego
Period2/19/192/21/19

Fingerprint

cartilage
Cartilage
Glycosaminoglycans
Photons
Tomography
counting
tomography
Detectors
Imaging techniques
detectors
Gadolinium
photons
gadolinium
trypsin
Articular Cartilage
Trypsin
Contrast Media
Osteoarthritis
Swine
high resolution

Keywords

  • computed tomography
  • glycosaminoglycans
  • multi-energy
  • Photon-counting detectors
  • trypsin digestion
  • ultra-high resolution

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Rajendran, K., Tao, S., Benike, A., Leng, S., & McCollough, C. H. (2019). Quantitative cartilage imaging using spectral photon-counting detector based computed tomography. In B. Gimi, & A. Krol (Eds.), Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging [109531A] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10953). SPIE. https://doi.org/10.1117/12.2512627

Quantitative cartilage imaging using spectral photon-counting detector based computed tomography. / Rajendran, Kishore; Tao, Shengzhen; Benike, Amy; Leng, Shuai; McCollough, Cynthia H.

Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging. ed. / Barjor Gimi; Andrzej Krol. SPIE, 2019. 109531A (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10953).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Rajendran, K, Tao, S, Benike, A, Leng, S & McCollough, CH 2019, Quantitative cartilage imaging using spectral photon-counting detector based computed tomography. in B Gimi & A Krol (eds), Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging., 109531A, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10953, SPIE, Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, United States, 2/19/19. https://doi.org/10.1117/12.2512627
Rajendran K, Tao S, Benike A, Leng S, McCollough CH. Quantitative cartilage imaging using spectral photon-counting detector based computed tomography. In Gimi B, Krol A, editors, Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging. SPIE. 2019. 109531A. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). https://doi.org/10.1117/12.2512627
Rajendran, Kishore ; Tao, Shengzhen ; Benike, Amy ; Leng, Shuai ; McCollough, Cynthia H. / Quantitative cartilage imaging using spectral photon-counting detector based computed tomography. Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging. editor / Barjor Gimi ; Andrzej Krol. SPIE, 2019. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).
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