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 |
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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 |
format | Article |
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= 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.</description><identifier>ISSN: 0031-9155</identifier><identifier>ISSN: 1361-6560</identifier><identifier>EISSN: 1361-6560</identifier><identifier>DOI: 10.1088/1361-6560/ad7775</identifier><identifier>PMID: 39231474</identifier><identifier>CODEN: PHMBA7</identifier><language>eng</language><publisher>England: IOP Publishing</publisher><subject>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</subject><ispartof>Physics in medicine & biology, 2024-09, Vol.69 (19), p.195004</ispartof><rights>2024 The Author(s). Published on behalf of Institute of Physics and Engineering in Medicine by IOP Publishing Ltd</rights><rights>Creative Commons Attribution license.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c219t-36743741cb2456c11571be9d4ab6ab94480ce33772753dc35f9692b8228840213</cites><orcidid>0000-0001-6199-0042 ; 0000-0001-9952-5672 ; 0000-0002-9365-2889 ; 0000-0003-0945-8715</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/1361-6560/ad7775/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>314,776,780,27901,27902,53821,53868</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39231474$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Deng, Xinchen</creatorcontrib><creatorcontrib>Richtsmeier, Devon</creatorcontrib><creatorcontrib>Rodesch, Pierre-Antoine</creatorcontrib><creatorcontrib>Iniewski, Kris</creatorcontrib><creatorcontrib>Bazalova-Carter, Magdalena</creatorcontrib><title>Simultaneous iodine and barium imaging with photon-counting CT</title><title>Physics in medicine & biology</title><addtitle>PMB</addtitle><addtitle>Phys. 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.
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.</description><subject>barium</subject><subject>Barium - chemistry</subject><subject>Contrast Media - chemistry</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>iodine</subject><subject>Iodine - chemistry</subject><subject>K-edge</subject><subject>multi-contrast</subject><subject>Phantoms, Imaging</subject><subject>photon-counting</subject><subject>Photons</subject><subject>Principal Component Analysis</subject><subject>simultaneous</subject><subject>Tomography, X-Ray Computed - methods</subject><issn>0031-9155</issn><issn>1361-6560</issn><issn>1361-6560</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>EIF</sourceid><recordid>eNp1kM1Lw0AUxBdRbK3ePUmOHozdt5_ZiyDFLyh4sJ6XzWbbbkmyNZsg_vcmpPbm6cEwM7z5IXQN-B5wls2BCkgFF3huCiklP0HTo3SKphhTSBVwPkEXMe4wBsgIO0cTqggFJtkUPXz4qitbU7vQxcSHwtcuMXWR5KbxXZX4ymx8vUm-fbtN9tvQhjq1oavbQVysLtHZ2pTRXR3uDH0-P60Wr-ny_eVt8bhMLQHVplRIRiUDmxPGhQXgEnKnCmZyYXLFWIato1RKIjktLOVrJRTJM0KyjGECdIZux959E746F1td-WhdWY6PawoYK2CCyt6KR6ttQoyNW-t9069ofjRgPVDTAyI9INIjtT5yc2jv8soVx8Afpt5wNxp82Otd6Jq6H_t_3y8JiHM9</recordid><startdate>20240920</startdate><enddate>20240920</enddate><creator>Deng, Xinchen</creator><creator>Richtsmeier, Devon</creator><creator>Rodesch, Pierre-Antoine</creator><creator>Iniewski, Kris</creator><creator>Bazalova-Carter, Magdalena</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-6199-0042</orcidid><orcidid>https://orcid.org/0000-0001-9952-5672</orcidid><orcidid>https://orcid.org/0000-0002-9365-2889</orcidid><orcidid>https://orcid.org/0000-0003-0945-8715</orcidid></search><sort><creationdate>20240920</creationdate><title>Simultaneous iodine and barium imaging with photon-counting CT</title><author>Deng, Xinchen ; Richtsmeier, Devon ; Rodesch, Pierre-Antoine ; Iniewski, Kris ; Bazalova-Carter, Magdalena</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c219t-36743741cb2456c11571be9d4ab6ab94480ce33772753dc35f9692b8228840213</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>barium</topic><topic>Barium - chemistry</topic><topic>Contrast Media - chemistry</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>iodine</topic><topic>Iodine - chemistry</topic><topic>K-edge</topic><topic>multi-contrast</topic><topic>Phantoms, Imaging</topic><topic>photon-counting</topic><topic>Photons</topic><topic>Principal Component Analysis</topic><topic>simultaneous</topic><topic>Tomography, X-Ray Computed - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Deng, Xinchen</creatorcontrib><creatorcontrib>Richtsmeier, Devon</creatorcontrib><creatorcontrib>Rodesch, Pierre-Antoine</creatorcontrib><creatorcontrib>Iniewski, Kris</creatorcontrib><creatorcontrib>Bazalova-Carter, Magdalena</creatorcontrib><collection>IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Physics in medicine & biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Deng, Xinchen</au><au>Richtsmeier, Devon</au><au>Rodesch, Pierre-Antoine</au><au>Iniewski, Kris</au><au>Bazalova-Carter, Magdalena</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Simultaneous iodine and barium imaging with photon-counting CT</atitle><jtitle>Physics in medicine & biology</jtitle><stitle>PMB</stitle><addtitle>Phys. 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. 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.</abstract><cop>England</cop><pub>IOP Publishing</pub><pmid>39231474</pmid><doi>10.1088/1361-6560/ad7775</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-6199-0042</orcidid><orcidid>https://orcid.org/0000-0001-9952-5672</orcidid><orcidid>https://orcid.org/0000-0002-9365-2889</orcidid><orcidid>https://orcid.org/0000-0003-0945-8715</orcidid><oa>free_for_read</oa></addata></record> |
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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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