https://doi.org/10.1140/epjp/s13360-024-05428-0
Regular Article
Quantitative spectral micro-CT of a CA4+ loaded osteochondral sample with a tabletop system
1
Medical Technology Laboratory, IRCCS Istituto Ortopedico Rizzoli, via di Barbiano 1/10, 40136, Bologna, Italy
2
Department of Engineering and Architecture, University of Trieste, via A. Valerio 10, 34127, Trieste, Italy
3
INFN, Division of Trieste, via A. Valerio 2, 34127, Trieste, Italy
4
INFN, Division of Ferrara, via G. Saragat 1, 44122, Ferrara, Italy
5
Department of Chemical, Pharmaceutical and Agricultural Sciences, University of Ferrara, via Luigi Borsari 46, 44121, Ferrara, Italy
6
Department of Physics and Earth Science, University of Ferrara, via G. Saragat 1, 44122, Ferrara, Italy
7
Department of Physics, University of Trieste, via A. Valerio 2, 34127, Trieste, Italy
c
cardarelli@fe.infn.it
h
lbrombal@units.it
Received:
16
February
2024
Accepted:
4
July
2024
Published online:
16
August
2024
Micro-computed tomography (CT) is the gold standard for nondestructive 3D imaging of biomedical samples in the centimeter scale, but it has limited effectiveness in revealing intricate soft tissue details due to the limited attenuation contrast. Radiopaque contrast agents that accumulate in the structures of interest are employed to enhance their visibility. However, the increased attenuation provided by the contrast agents does not guarantee discrimination among tissues. This issue can be solved by spectral
CT (S
CT) systems employing small-pixel chromatic photon-counting detectors. These detectors, combined with material decomposition algorithms, allow the generation of high-resolution material-specific 3D maps. This work aims to demonstrate the potential of photon-counting X-ray S
CT on osteochondral samples loaded with a cationic iodinated contrast agent (CA4+) at a spatial resolution below 50
m, and to compare the results against a conventional
CT system. An osteochondral sample extracted from a bovine stifle joint was loaded with CA4+ and imaged with a novel multimodal X-ray imaging system, featuring a 62
m pixel CdTe spectral detector (Pixirad1-PixieIII). After material decomposition, quantitative 3D density maps of iodine and hydroxyapatite were reconstructed. The same sample was also scanned with a commercial
CT scanner with matched spectrum and exposure time. SCT
images at a (measured) spatial resolution comparable with the commercial scanner (
45
m) were obtained. Spectral images allowed for a fully automatic segmentation of cartilage and subchondral bone. The unambiguous discrimination between iodine and hydroxyapatite revealed a more realistic representation of proteoglycan distribution compared to conventional imaging.
© The Author(s) 2024
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