Simultaneous iodine and barium imaging with photon-counting CT

The objective of this study is to explore the capabilities of photon-counting computed tomography (PCCT) in simultaneously imaging and differentiating materials with close atomic numbers, specifically barium ( = 56) and iodine ( = 53), which is challenging for conventional computed tomography (CT)....

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Veröffentlicht in:Physics in medicine & biology 2024-09, Vol.69 (19), p.195004
Hauptverfasser: Deng, Xinchen, Richtsmeier, Devon, Rodesch, Pierre-Antoine, Iniewski, Kris, Bazalova-Carter, Magdalena
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container_issue 19
container_start_page 195004
container_title Physics in medicine & biology
container_volume 69
creator Deng, Xinchen
Richtsmeier, Devon
Rodesch, Pierre-Antoine
Iniewski, Kris
Bazalova-Carter, Magdalena
description The objective of this study is to explore the capabilities of photon-counting computed tomography (PCCT) in simultaneously imaging and differentiating materials with close atomic numbers, specifically barium ( = 56) and iodine ( = 53), which is challenging for conventional computed tomography (CT). Experiments were conducted using a bench-top PCCT system equipped with a cadmium zinc telluride detector. Various phantom setups and contrast agent concentrations (1%-5%) were employed, along with a biological sample. Energy thresholds were tuned to the K-edge absorption energies of barium (37.4 keV) and iodine (33.2 keV) to capture multi-energy CT images. K-edge decomposition was performed using K-edge subtraction and principal component analysis (PCA) techniques to differentiate and quantify the contrast agents. The PCCT system successfully differentiated and accurately quantified barium and iodine in both phantom combinations and a biological sample, achieving high correlations (R2≈1) between true and reconstructed concentrations. PCA outperformed K-edge subtraction, particularly in the presence of calcium, by providing superior differentiation between barium and iodine. This study demonstrates the potential of PCCT for reliable, detailed imaging in both clinical and research settings, particularly for contrast agents with similar atomic numbers. The results suggest that PCCT could offer significant improvements in imaging quality over conventional CT, especially in applications requiring precise material differentiation.
doi_str_mv 10.1088/1361-6560/ad7775
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Med. Biol</addtitle><description>The objective of this study is to explore the capabilities of photon-counting computed tomography (PCCT) in simultaneously imaging and differentiating materials with close atomic numbers, specifically barium ( = 56) and iodine ( = 53), which is challenging for conventional computed tomography (CT). Experiments were conducted using a bench-top PCCT system equipped with a cadmium zinc telluride detector. Various phantom setups and contrast agent concentrations (1%-5%) were employed, along with a biological sample. Energy thresholds were tuned to the K-edge absorption energies of barium (37.4 keV) and iodine (33.2 keV) to capture multi-energy CT images. K-edge decomposition was performed using K-edge subtraction and principal component analysis (PCA) techniques to differentiate and quantify the contrast agents. 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Med. Biol</addtitle><date>2024-09-20</date><risdate>2024</risdate><volume>69</volume><issue>19</issue><spage>195004</spage><pages>195004-</pages><issn>0031-9155</issn><issn>1361-6560</issn><eissn>1361-6560</eissn><coden>PHMBA7</coden><abstract>The objective of this study is to explore the capabilities of photon-counting computed tomography (PCCT) in simultaneously imaging and differentiating materials with close atomic numbers, specifically barium ( = 56) and iodine ( = 53), which is challenging for conventional computed tomography (CT). Experiments were conducted using a bench-top PCCT system equipped with a cadmium zinc telluride detector. Various phantom setups and contrast agent concentrations (1%-5%) were employed, along with a biological sample. Energy thresholds were tuned to the K-edge absorption energies of barium (37.4 keV) and iodine (33.2 keV) to capture multi-energy CT images. 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subjects barium
Barium - chemistry
Contrast Media - chemistry
Image Processing, Computer-Assisted - methods
iodine
Iodine - chemistry
K-edge
multi-contrast
Phantoms, Imaging
photon-counting
Photons
Principal Component Analysis
simultaneous
Tomography, X-Ray Computed - methods
title Simultaneous iodine and barium imaging with photon-counting CT
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