Martin V Rybertt, Leening P Liu, Manoj Mathew, Pooyan Sahbaee, Harold I Litt, Peter B Noël
{"title":"血管大小、剂量水平和身体习惯对心血管光子计数计算机断层扫描碘定量的影响。","authors":"Martin V Rybertt, Leening P Liu, Manoj Mathew, Pooyan Sahbaee, Harold I Litt, Peter B Noël","doi":"10.1093/bjr/tqaf181","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>This study evaluates the performance of a clinical dual-source photon-counting computed tomography (PCCT) system in quantifying iodine within calcified vessels, using 3D-printed phantoms with vascular-like structures lined with calcium.</p><p><strong>Methods: </strong>Parameters assessed include lumen diameters (4, 6, 8, 10, and 12 mm), phantom sizes (S: 20 × 20 cm, M: 25 × 25 cm, L: 30 × 40 cm), and iodine concentrations (2, 5, and 10 mg/mL). Scans were performed with a cardiac high-pitch acquisition protocol at radiation dose levels of 5 and 10 mGy to systematically evaluate iodine quantification accuracy and spectral imaging performance.</p><p><strong>Results: </strong>The results indicate that for lumen diameters ≥6 mm, iodine quantification remains stable across all dose levels and smaller phantom sizes, where error remained consistently below 0.9 mg/mL. Furthermore, iodine quantification revealed a significant dependence on phantom size while selected radiation dose levels were insignificant. Virtual Monoenergetic Imaging (VMI) at 70 keV showed stable performance for larger lumens (≥6 mm) with variations of 20.3 ± 13.2 HU across all conditions, while smaller lumens remained stable in medium to small phantoms.</p><p><strong>Conclusions: </strong>These findings highlight the influence of lumen diameter, patient size, and radiation dose in optimizing PCCT protocols for spectral imaging. Results indicate that PCCT maintains stable and precise imaging performance across diverse patient anatomies, with robust differentiation of iodine and calcium in adjacent regions.</p><p><strong>Advances in knowledge: </strong>This study demonstrates PCCT's potential to enhance spectral imaging in vascular applications, characterizing iodine quantification at relevant lesion sizes for vascular imaging.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of Vessel Size, Dose Levels, and Body Habitus on Iodine Quantification in Cardiovascular Photon-Counting Computed Tomography.\",\"authors\":\"Martin V Rybertt, Leening P Liu, Manoj Mathew, Pooyan Sahbaee, Harold I Litt, Peter B Noël\",\"doi\":\"10.1093/bjr/tqaf181\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>This study evaluates the performance of a clinical dual-source photon-counting computed tomography (PCCT) system in quantifying iodine within calcified vessels, using 3D-printed phantoms with vascular-like structures lined with calcium.</p><p><strong>Methods: </strong>Parameters assessed include lumen diameters (4, 6, 8, 10, and 12 mm), phantom sizes (S: 20 × 20 cm, M: 25 × 25 cm, L: 30 × 40 cm), and iodine concentrations (2, 5, and 10 mg/mL). Scans were performed with a cardiac high-pitch acquisition protocol at radiation dose levels of 5 and 10 mGy to systematically evaluate iodine quantification accuracy and spectral imaging performance.</p><p><strong>Results: </strong>The results indicate that for lumen diameters ≥6 mm, iodine quantification remains stable across all dose levels and smaller phantom sizes, where error remained consistently below 0.9 mg/mL. Furthermore, iodine quantification revealed a significant dependence on phantom size while selected radiation dose levels were insignificant. Virtual Monoenergetic Imaging (VMI) at 70 keV showed stable performance for larger lumens (≥6 mm) with variations of 20.3 ± 13.2 HU across all conditions, while smaller lumens remained stable in medium to small phantoms.</p><p><strong>Conclusions: </strong>These findings highlight the influence of lumen diameter, patient size, and radiation dose in optimizing PCCT protocols for spectral imaging. 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Impact of Vessel Size, Dose Levels, and Body Habitus on Iodine Quantification in Cardiovascular Photon-Counting Computed Tomography.
Objectives: This study evaluates the performance of a clinical dual-source photon-counting computed tomography (PCCT) system in quantifying iodine within calcified vessels, using 3D-printed phantoms with vascular-like structures lined with calcium.
Methods: Parameters assessed include lumen diameters (4, 6, 8, 10, and 12 mm), phantom sizes (S: 20 × 20 cm, M: 25 × 25 cm, L: 30 × 40 cm), and iodine concentrations (2, 5, and 10 mg/mL). Scans were performed with a cardiac high-pitch acquisition protocol at radiation dose levels of 5 and 10 mGy to systematically evaluate iodine quantification accuracy and spectral imaging performance.
Results: The results indicate that for lumen diameters ≥6 mm, iodine quantification remains stable across all dose levels and smaller phantom sizes, where error remained consistently below 0.9 mg/mL. Furthermore, iodine quantification revealed a significant dependence on phantom size while selected radiation dose levels were insignificant. Virtual Monoenergetic Imaging (VMI) at 70 keV showed stable performance for larger lumens (≥6 mm) with variations of 20.3 ± 13.2 HU across all conditions, while smaller lumens remained stable in medium to small phantoms.
Conclusions: These findings highlight the influence of lumen diameter, patient size, and radiation dose in optimizing PCCT protocols for spectral imaging. Results indicate that PCCT maintains stable and precise imaging performance across diverse patient anatomies, with robust differentiation of iodine and calcium in adjacent regions.
Advances in knowledge: This study demonstrates PCCT's potential to enhance spectral imaging in vascular applications, characterizing iodine quantification at relevant lesion sizes for vascular imaging.
期刊介绍:
BJR is the international research journal of the British Institute of Radiology and is the oldest scientific journal in the field of radiology and related sciences.
Dating back to 1896, BJR’s history is radiology’s history, and the journal has featured some landmark papers such as the first description of Computed Tomography "Computerized transverse axial tomography" by Godfrey Hounsfield in 1973. A valuable historical resource, the complete BJR archive has been digitized from 1896.
Quick Facts:
- 2015 Impact Factor – 1.840
- Receipt to first decision – average of 6 weeks
- Acceptance to online publication – average of 3 weeks
- ISSN: 0007-1285
- eISSN: 1748-880X
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