First-generation clinical dual-source photon-counting CT: ultra-low-dose quantitative spectral imaging
Objective Evaluation of image characteristics at ultra-low radiation dose levels of a first-generation dual-source photon-counting computed tomography (PCCT) compared to a dual-source dual-energy CT (DECT) scanner. Methods A multi-energy CT phantom was imaged with and without an extension ring on bo...
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| Vydáno v: | European radiology Ročník 32; číslo 12; s. 8579 - 8587 |
|---|---|
| Hlavní autoři: | , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.12.2022
Springer Nature B.V |
| Témata: | |
| ISSN: | 1432-1084, 0938-7994, 1432-1084 |
| On-line přístup: | Získat plný text |
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| Abstract | Objective
Evaluation of image characteristics at ultra-low radiation dose levels of a first-generation dual-source photon-counting computed tomography (PCCT) compared to a dual-source dual-energy CT (DECT) scanner.
Methods
A multi-energy CT phantom was imaged with and without an extension ring on both scanners over a range of radiation dose levels (CTDI
vol
0.4–15.0 mGy). Scans were performed in different modes of acquisition for PCCT with 120 kVp and DECT with 70/Sn150 kVp and 100/Sn150 kVp. Various tissue inserts were used to characterize the precision and repeatability of Hounsfield units (HUs) on virtual mono-energetic images between 40 and 190 keV. Image noise was additionally investigated at an ultra-low radiation dose to illustrate PCCT’s ability to remove electronic background noise.
Results
Our results demonstrate the high precision of HU measurements for a wide range of inserts and radiation exposure levels with PCCT. We report high performance for both scanners across a wide range of radiation exposure levels, with PCCT outperforming at low exposures compared to DECT. PCCT scans at the lowest radiation exposures illustrate significant reduction in electronic background noise, with a mean percent reduction of 74% (
p
value ~ 10
−8
) compared to DECT 70/Sn150 kVp and 60% (
p
value ~ 10
−6
) compared to DECT 100/Sn150 kVp.
Conclusions
This paper reports the first experiences with a clinical dual-source PCCT. PCCT provides reliable HUs without disruption from electronic background noise for a wide range of dose values. Diagnostic benefits are not only for quantification at an ultra-low dose but also for imaging of obese patients.
Key Points
PCCT scanners provide precise and reliable Hounsfield units at ultra-low dose levels.
The influence of electronic background noise can be removed at ultra-low-dose acquisitions with PCCT.
Both spectral platforms have high performance along a wide range of radiation exposure levels, with PCCT outperforming at low radiation exposures. |
|---|---|
| AbstractList | Evaluation of image characteristics at ultra-low radiation dose levels of a first-generation dual-source photon-counting computed tomography (PCCT) compared to a dual-source dual-energy CT (DECT) scanner.
A multi-energy CT phantom was imaged with and without an extension ring on both scanners over a range of radiation dose levels (CTDI
0.4-15.0 mGy). Scans were performed in different modes of acquisition for PCCT with 120 kVp and DECT with 70/Sn150 kVp and 100/Sn150 kVp. Various tissue inserts were used to characterize the precision and repeatability of Hounsfield units (HUs) on virtual mono-energetic images between 40 and 190 keV. Image noise was additionally investigated at an ultra-low radiation dose to illustrate PCCT's ability to remove electronic background noise.
Our results demonstrate the high precision of HU measurements for a wide range of inserts and radiation exposure levels with PCCT. We report high performance for both scanners across a wide range of radiation exposure levels, with PCCT outperforming at low exposures compared to DECT. PCCT scans at the lowest radiation exposures illustrate significant reduction in electronic background noise, with a mean percent reduction of 74% (p value ~ 10
) compared to DECT 70/Sn150 kVp and 60% (p value ~ 10
) compared to DECT 100/Sn150 kVp.
This paper reports the first experiences with a clinical dual-source PCCT. PCCT provides reliable HUs without disruption from electronic background noise for a wide range of dose values. Diagnostic benefits are not only for quantification at an ultra-low dose but also for imaging of obese patients.
PCCT scanners provide precise and reliable Hounsfield units at ultra-low dose levels. The influence of electronic background noise can be removed at ultra-low-dose acquisitions with PCCT. Both spectral platforms have high performance along a wide range of radiation exposure levels, with PCCT outperforming at low radiation exposures. Objective Evaluation of image characteristics at ultra-low radiation dose levels of a first-generation dual-source photon-counting computed tomography (PCCT) compared to a dual-source dual-energy CT (DECT) scanner. Methods A multi-energy CT phantom was imaged with and without an extension ring on both scanners over a range of radiation dose levels (CTDI vol 0.4–15.0 mGy). Scans were performed in different modes of acquisition for PCCT with 120 kVp and DECT with 70/Sn150 kVp and 100/Sn150 kVp. Various tissue inserts were used to characterize the precision and repeatability of Hounsfield units (HUs) on virtual mono-energetic images between 40 and 190 keV. Image noise was additionally investigated at an ultra-low radiation dose to illustrate PCCT’s ability to remove electronic background noise. Results Our results demonstrate the high precision of HU measurements for a wide range of inserts and radiation exposure levels with PCCT. We report high performance for both scanners across a wide range of radiation exposure levels, with PCCT outperforming at low exposures compared to DECT. PCCT scans at the lowest radiation exposures illustrate significant reduction in electronic background noise, with a mean percent reduction of 74% ( p value ~ 10 −8 ) compared to DECT 70/Sn150 kVp and 60% ( p value ~ 10 −6 ) compared to DECT 100/Sn150 kVp. Conclusions This paper reports the first experiences with a clinical dual-source PCCT. PCCT provides reliable HUs without disruption from electronic background noise for a wide range of dose values. Diagnostic benefits are not only for quantification at an ultra-low dose but also for imaging of obese patients. Key Points PCCT scanners provide precise and reliable Hounsfield units at ultra-low dose levels. The influence of electronic background noise can be removed at ultra-low-dose acquisitions with PCCT. Both spectral platforms have high performance along a wide range of radiation exposure levels, with PCCT outperforming at low radiation exposures. ObjectiveEvaluation of image characteristics at ultra-low radiation dose levels of a first-generation dual-source photon-counting computed tomography (PCCT) compared to a dual-source dual-energy CT (DECT) scanner.MethodsA multi-energy CT phantom was imaged with and without an extension ring on both scanners over a range of radiation dose levels (CTDIvol 0.4–15.0 mGy). Scans were performed in different modes of acquisition for PCCT with 120 kVp and DECT with 70/Sn150 kVp and 100/Sn150 kVp. Various tissue inserts were used to characterize the precision and repeatability of Hounsfield units (HUs) on virtual mono-energetic images between 40 and 190 keV. Image noise was additionally investigated at an ultra-low radiation dose to illustrate PCCT’s ability to remove electronic background noise.ResultsOur results demonstrate the high precision of HU measurements for a wide range of inserts and radiation exposure levels with PCCT. We report high performance for both scanners across a wide range of radiation exposure levels, with PCCT outperforming at low exposures compared to DECT. PCCT scans at the lowest radiation exposures illustrate significant reduction in electronic background noise, with a mean percent reduction of 74% (p value ~ 10−8) compared to DECT 70/Sn150 kVp and 60% (p value ~ 10−6) compared to DECT 100/Sn150 kVp.ConclusionsThis paper reports the first experiences with a clinical dual-source PCCT. PCCT provides reliable HUs without disruption from electronic background noise for a wide range of dose values. Diagnostic benefits are not only for quantification at an ultra-low dose but also for imaging of obese patients.Key PointsPCCT scanners provide precise and reliable Hounsfield units at ultra-low dose levels.The influence of electronic background noise can be removed at ultra-low-dose acquisitions with PCCT.Both spectral platforms have high performance along a wide range of radiation exposure levels, with PCCT outperforming at low radiation exposures. Evaluation of image characteristics at ultra-low radiation dose levels of a first-generation dual-source photon-counting computed tomography (PCCT) compared to a dual-source dual-energy CT (DECT) scanner.OBJECTIVEEvaluation of image characteristics at ultra-low radiation dose levels of a first-generation dual-source photon-counting computed tomography (PCCT) compared to a dual-source dual-energy CT (DECT) scanner.A multi-energy CT phantom was imaged with and without an extension ring on both scanners over a range of radiation dose levels (CTDIvol 0.4-15.0 mGy). Scans were performed in different modes of acquisition for PCCT with 120 kVp and DECT with 70/Sn150 kVp and 100/Sn150 kVp. Various tissue inserts were used to characterize the precision and repeatability of Hounsfield units (HUs) on virtual mono-energetic images between 40 and 190 keV. Image noise was additionally investigated at an ultra-low radiation dose to illustrate PCCT's ability to remove electronic background noise.METHODSA multi-energy CT phantom was imaged with and without an extension ring on both scanners over a range of radiation dose levels (CTDIvol 0.4-15.0 mGy). Scans were performed in different modes of acquisition for PCCT with 120 kVp and DECT with 70/Sn150 kVp and 100/Sn150 kVp. Various tissue inserts were used to characterize the precision and repeatability of Hounsfield units (HUs) on virtual mono-energetic images between 40 and 190 keV. Image noise was additionally investigated at an ultra-low radiation dose to illustrate PCCT's ability to remove electronic background noise.Our results demonstrate the high precision of HU measurements for a wide range of inserts and radiation exposure levels with PCCT. We report high performance for both scanners across a wide range of radiation exposure levels, with PCCT outperforming at low exposures compared to DECT. PCCT scans at the lowest radiation exposures illustrate significant reduction in electronic background noise, with a mean percent reduction of 74% (p value ~ 10-8) compared to DECT 70/Sn150 kVp and 60% (p value ~ 10-6) compared to DECT 100/Sn150 kVp.RESULTSOur results demonstrate the high precision of HU measurements for a wide range of inserts and radiation exposure levels with PCCT. We report high performance for both scanners across a wide range of radiation exposure levels, with PCCT outperforming at low exposures compared to DECT. PCCT scans at the lowest radiation exposures illustrate significant reduction in electronic background noise, with a mean percent reduction of 74% (p value ~ 10-8) compared to DECT 70/Sn150 kVp and 60% (p value ~ 10-6) compared to DECT 100/Sn150 kVp.This paper reports the first experiences with a clinical dual-source PCCT. PCCT provides reliable HUs without disruption from electronic background noise for a wide range of dose values. Diagnostic benefits are not only for quantification at an ultra-low dose but also for imaging of obese patients.CONCLUSIONSThis paper reports the first experiences with a clinical dual-source PCCT. PCCT provides reliable HUs without disruption from electronic background noise for a wide range of dose values. Diagnostic benefits are not only for quantification at an ultra-low dose but also for imaging of obese patients.PCCT scanners provide precise and reliable Hounsfield units at ultra-low dose levels. The influence of electronic background noise can be removed at ultra-low-dose acquisitions with PCCT. Both spectral platforms have high performance along a wide range of radiation exposure levels, with PCCT outperforming at low radiation exposures.KEY POINTSPCCT scanners provide precise and reliable Hounsfield units at ultra-low dose levels. The influence of electronic background noise can be removed at ultra-low-dose acquisitions with PCCT. Both spectral platforms have high performance along a wide range of radiation exposure levels, with PCCT outperforming at low radiation exposures. |
| Author | Litt, Harold I. Noël, Peter B. Shinohara, Russell T. Chen, Andrew A. Sahbaee, Pooyan Liu, Leening P. Schnall, Mitchell Shapira, Nadav |
| AuthorAffiliation | 5 Siemens Medical Solutions, Malvern, PA, USA 2 Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA 3 Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA 4 Center for Biomedical Imaging Computing and Analytics, University of Pennsylvania, Philadelphia, PA, USA 1 Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA |
| AuthorAffiliation_xml | – name: 1 Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA – name: 5 Siemens Medical Solutions, Malvern, PA, USA – name: 2 Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA – name: 4 Center for Biomedical Imaging Computing and Analytics, University of Pennsylvania, Philadelphia, PA, USA – name: 3 Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA |
| Author_xml | – sequence: 1 givenname: Leening P. orcidid: 0000-0003-0560-5394 surname: Liu fullname: Liu, Leening P. email: leening@seas.upenn.edu organization: Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Department of Bioengineering, University of Pennsylvania – sequence: 2 givenname: Nadav surname: Shapira fullname: Shapira, Nadav organization: Department of Radiology, Perelman School of Medicine, University of Pennsylvania – sequence: 3 givenname: Andrew A. surname: Chen fullname: Chen, Andrew A. organization: Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Center for Biomedical Imaging Computing and Analytics, University of Pennsylvania – sequence: 4 givenname: Russell T. surname: Shinohara fullname: Shinohara, Russell T. organization: Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Center for Biomedical Imaging Computing and Analytics, University of Pennsylvania – sequence: 5 givenname: Pooyan surname: Sahbaee fullname: Sahbaee, Pooyan organization: Siemens Medical Solutions – sequence: 6 givenname: Mitchell surname: Schnall fullname: Schnall, Mitchell organization: Department of Radiology, Perelman School of Medicine, University of Pennsylvania – sequence: 7 givenname: Harold I. surname: Litt fullname: Litt, Harold I. organization: Department of Radiology, Perelman School of Medicine, University of Pennsylvania – sequence: 8 givenname: Peter B. surname: Noël fullname: Noël, Peter B. email: pbnoel@upenn.edu organization: Department of Radiology, Perelman School of Medicine, University of Pennsylvania |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35708838$$D View this record in MEDLINE/PubMed |
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| ContentType | Journal Article |
| Copyright | The Author(s), under exclusive licence to European Society of Radiology 2022 2022. The Author(s), under exclusive licence to European Society of Radiology. The Author(s), under exclusive licence to European Society of Radiology 2022. |
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| DOI | 10.1007/s00330-022-08933-x |
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| Issue | 12 |
| Keywords | X-ray computed tomography Diagnostic imaging Radiation dosage |
| Language | English |
| License | 2022. The Author(s), under exclusive licence to European Society of Radiology. |
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| OpenAccessLink | https://pmc.ncbi.nlm.nih.gov/articles/PMC10071880/pdf/nihms-1881487.pdf |
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| PublicationCentury | 2000 |
| PublicationDate | 2022-12-01 |
| PublicationDateYYYYMMDD | 2022-12-01 |
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| PublicationDecade | 2020 |
| PublicationPlace | Berlin/Heidelberg |
| PublicationPlace_xml | – name: Berlin/Heidelberg – name: Germany – name: Heidelberg |
| PublicationTitle | European radiology |
| PublicationTitleAbbrev | Eur Radiol |
| PublicationTitleAlternate | Eur Radiol |
| PublicationYear | 2022 |
| Publisher | Springer Berlin Heidelberg Springer Nature B.V |
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| References | SellererTNoëlPBPatinoMDual-energy CT: a phantom comparison of different platforms for abdominal imagingEur Radiol20182872745275510.1007/s00330-017-5238-529404773 LiangJZLa RivierePJEl FakhriGGlickSJSiewerdsenJGuest editorial low-dose CT: what has been done, and what challenges remain?IEEE Trans Med Imaging201736122409241610.1109/TMI.2017.2768978 LengSZhouWYuZSpectral performance of a whole-body research photon counting detector CT: quantitative accuracy in derived image setsPhys Med Biol2017621772161:CAS:528:DC%2BC1cXitVegt7rJ10.1088/1361-6560/aa8103287266695565680 EberhardMMergenVHigashigaitoKCoronary calcium scoring with first generation dual-source photon-counting CT—first evidence from phantom and in-vivo scansDiagnostics202111917081:CAS:528:DC%2BB3MXislCgtLrP10.3390/diagnostics11091708345740498466604 GutjahrRHalaweishAFYuZHuman imaging with photon-counting-based CT at clinical dose levels: contrast-to-noise ratio and cadaver studiesInvest Radiol20165174211:CAS:528:DC%2BC28XptlOqsrw%3D10.1097/RLI.0000000000000251268185294899181 MichaelAEBoriesosdickJSchoenbeckDImage-quality assessment of polyenergetic and virtual monoenergetic reconstructions of unenhanced CT scans of the head: initial experiences with the first photon-counting CT approved for clinical useDiagnostics202212226510.3390/diagnostics12020265352043568871064 KoppFKDaerrHSi-MohamedSEvaluation of a preclinical photon-counting CT prototype for pulmonary imagingSci Rep2018811738610.1038/s41598-018-35888-1304783006255779 LengSBruesewitzMTaoSPhoton-counting detector CT: system design and clinical applications of an emerging technologyRadiographics201939372974310.1148/rg.201918011531059394 MuenzelDDaerrHProksaRSimultaneous dual-contrast multi-phase liver imaging using spectral photon-counting computed tomography: a proof-of-concept studyEur Radiol Exp2017112510.1186/s41747-017-0030-5297082055909366 van der WerfNRvan GentMBooijRDose reduction in coronary artery calcium scoring using mono-energetic images from reduced tube voltage dual-source photon-counting CT data: a dynamic phantom studyDiagnostics20211112219210.3390/diagnostics11122192349434288699960 Jungblut L, Blüthgen C, Polacin M et al First performance evaluation of an artificial intelligence-based computer-aided detection system for pulmonary nodule evaluation in dual-source photon-counting detector CT at different low-dose levels. Invest Radiol 57(2):108–114 RenLRajendranKFletcherJGMcColloughCHYuLSimultaneous dual-contrast imaging of small bowel with iodine and bismuth using photon-counting-detector computed tomography: a feasibility animal studyInvest Radiol202055106886941:CAS:528:DC%2BB3cXhslClt7rN10.1097/RLI.0000000000000687325308687808340 SauterAPKoppFKMünzelDAccuracy of iodine quantification in dual-layer spectral CT: influence of iterative reconstruction, patient habitus and tube parametersEur J Radiol2018102838810.1016/j.ejrad.2018.03.00929685549 Si-MohamedSThivoletABonnotPEImproved peritoneal cavity and abdominal organ imaging using a biphasic contrast agent protocol and spectral photon counting computed tomography K-edge imagingInvest Radiol2018531062963910.1097/RLI.0000000000000483297949486291259 EulerAHigashigaitoKMergenVHigh-pitch photon-counting detector computed tomography angiography of the aorta: intraindividual comparison to energy-integrating detector computed tomography at equal radiation doseInvest Radiol20225721151211:CAS:528:DC%2BB38Xjt1Wkug%3D%3D10.1097/RLI.000000000000081634352805 SandfortVPerssonMPourmortezaANoëlPBFleischmannDWilleminkMJSpectral photon-counting CT in cardiovascular imagingJ Cardiovasc Comput Tomogr202115321822510.1016/j.jcct.2020.12.00533358186 BartlettDJKooCWBartholmaiBJHigh-resolution chest CT imaging of the lungs: impact of 1024 matrix reconstruction and photon-counting-detector CTInvest Radiol201954312910.1097/RLI.0000000000000524304614376363870 TaoSRajendranKMcColloughCHLengSFeasibility of multi-contrast imaging on dual-source photon counting detector (PCD) CT: an initial phantom studyMed Phys2019469410541151:CAS:528:DC%2BC1MXhvFSjurnF10.1002/mp.13668312156596857531 MaJLiangZFanYVariance analysis of x-ray CT sinograms in the presence of electronic noise backgroundMed Phys20123974051406510.1118/1.4722751228307383382257 WilleminkMJPerssonMPourmortezaAPelcNJFleischmannDPhoton-counting CT: technical principles and clinical prospectsRadiology2018289229331210.1148/radiol.201817265630179101 Mergen V, Higashigaito K, Allmendinger T et al (2021) Tube voltage-independent coronary calcium scoring on a first-generation dual-source photon-counting CT-a proof-of-principle phantom study. Int J Card Imaging. https://doi.org/10.1007/S10554-021-02466-Y NiehoffJHWoeltjenMMLaukampKRBorggrefeJKroegerJRVirtual non-contrast versus true non-contrast computed tomography: initial experiences with a photon counting scanner approved for clinical use. Diagnostics2021SwitzerlandBasel10.3390/DIAGNOSTICS11122377 TaoSMarshJFTaoAMulti-energy CT imaging for large patients using dual-source photon-counting detector CTPhys Med Biol2020651717NT011:CAS:528:DC%2BB3cXitV2itLbM10.1088/1361-6560/ab99e4325030227682256 Si-MohamedSBoccaliniSRodeschPAFeasibility of lung imaging with a large field-of-view spectral photon-counting CT systemDiagn Interv Imaging2021102530531210.1016/j.diii.2021.01.00133610503 Si-MohamedSCormodeDPBar-NessDEvaluation of spectral photon counting computed tomography K-edge imaging for determination of gold nanoparticle biodistribution in vivoNanoscale201794618246182571:CAS:528:DC%2BC2sXhtV2qsrjK10.1039/C7NR01153A287269685709229 DangelmaierJBar-NessDDaerrHExperimental feasibility of spectral photon-counting computed tomography with two contrast agents for the detection of endoleaks following endovascular aortic repairEur Radiol20182883318332510.1007/s00330-017-5252-7294600696028848 U.S. Food & Drug Administration (2021) FDA clears first major imaging device advancement for computed tomography in nearly a decade. Available via https://www.fda.gov/news-events/press-announcements/fda-clears-first-major-imaging-device-advancement-computed-tomography-nearly-decade. Accessed 31 Jan 2022 Rajendran K, Petersilka M, Henning A et al (2021) First clinical photon-counting detector CT system: technical evaluation. Radiology. https://doi.org/10.1148/RADIOL.212579 PourmortezaASymonsRHenningAUlzheimerSBluemkeDADose efficiency of quarter-millimeter photon-counting computed tomography: first-in-human resultsInvest Radiol201853636537210.1097/RLI.000000000000046329595753 SymonsRReichDSBagheriMPhoton-counting CT for vascular imaging of the head and neck: first in vivo human resultsInvest Radiol201853313510.1097/RLI.0000000000000418289263705792306 MuenzelDBar-NessDRoesslESpectral photon-counting CT: initial experience with dual–contrast agent K-edge colonographyRadiology2017283372372810.1148/radiol.201616089027918709 HsuJCNievesLMBetzerONanoparticle contrast agents for X-ray imaging applicationsWIREs Nanomed Nanobiotechnol202012610.1002/wnan.1642 CormodeDPSi-MohamedSBar-NessDMulticolor spectral photon-counting computed tomography: in vivo dual contrast imaging with a high count rate scannerSci Rep201771478410.1038/s41598-017-04659-9286847565500581 KraussBGrantKLSchmidtBTFlohrTGThe importance of spectral separation an assessment of dual-energy spectral separation for quantitative ability and dose efficiencyInvest Radiol201550211411810.1097/RLI.000000000000010925373305 PourmortezaASymonsRSandfortVAbdominal imaging with contrast-enhanced photon-counting CT: first human experienceRadiology2016279123924510.1148/radiol.201615260126840654 DeckerJABetteSLubinaNLow-dose CT of the abdomen: Initial experience on a novel photon-counting detector CT and comparison with energy-integrating detector CTEur J Radiol202214811018110.1016/j.ejrad.2022.11018135121331 Si-MohamedSBar-NessDSigovanMReview of an initial experience with an experimental spectral photon-counting computed tomography systemNucl Instruments Methods Phys Res Sect A Accel Spectrometers, Detect Assoc Equip201787327351:CAS:528:DC%2BC2sXhtFOqs73F10.1016/j.nima.2017.04.014 SymonsRPourmortezaASandfortVFeasibility of dose-reduced chest CT with photon-counting detectors: initial results in humansRadiology2017285398098910.1148/radiol.201716258728753389 NiehoffJHWoeltjenMMSaeedSAssessment of hepatic steatosis based on virtual non-contrast computed tomography: Initial experiences with a photon counting scanner approved for clinical useEur J Radiol202214911018510.1016/j.ejrad.2022.11018535149338 Higashigaito K, Euler A, Eberhard M, Flohr TG, Schmidt B, Alkadhi H (2021) Contrast-enhanced abdominal CT with clinical photon-counting detector CT: assessment of image quality and comparison with energy-integrating detector CT. Acad Radiol. https://doi.org/10.1016/J.ACRA.2021.06.018 SymonsRCorkTELakshmananMNDual-contrast agent photon-counting computed tomography of the heart: initial experienceInt J Card Imaging20173381253126110.1007/s10554-017-1104-4 van der WerfNRBooijRGreuterMJWReproducibility of coronary artery calcium quantification on dual-source CT and dual-source photon-counting CT: a dynamic phantom studyInt J Card Imaging2022111217 YuZLengSKapplerSNoise performance of low-dose CT: comparison between an energy integrating detector and a photon counting detector using a whole-body research photon counting CT scannerJ Med Imaging20163410.1117/1.JMI.3.4.043503 Mei K, Geagan M, Roshkovan L, et al (2021) Three-dimensional printing of patient-specific lung phantoms for CT imaging: emulating lung tissue with accurate attenuation profiles and textures. medRxiv 2021.07.30.21261292 RajendranKVossBAZhouWDose reduction for sinus and temporal bone imaging using photon-counting detector CT with an additional tin filterInvest Radiol20205529110.1097/RLI.0000000000000614317702978522262 SymonsRKraussBSahbaeePPhoton-counting CT for simultaneous imaging of multiple contrast agents in the abdomen: an in vivo studyMed Phys201744105120512710.1002/mp.12301284447615699215 FK Kopp (8933_CR6) 2018; 8 JC Hsu (8933_CR37) 2020; 12 8933_CR1 NR van der Werf (8933_CR12) 2021; 11 S Tao (8933_CR32) 2020; 65 MJ Willemink (8933_CR24) 2018; 289 B Krauss (8933_CR27) 2015; 50 K Rajendran (8933_CR11) 2020; 55 A Euler (8933_CR19) 2022; 57 R Symons (8933_CR41) 2017; 44 DP Cormode (8933_CR5) 2017; 7 NR van der Werf (8933_CR23) 2022; 11 JA Decker (8933_CR21) 2022; 148 J Dangelmaier (8933_CR44) 2018; 28 R Gutjahr (8933_CR8) 2016; 51 DJ Bartlett (8933_CR9) 2019; 54 L Ren (8933_CR38) 2020; 55 8933_CR45 S Leng (8933_CR26) 2019; 39 D Muenzel (8933_CR40) 2017; 1 R Symons (8933_CR34) 2017; 285 8933_CR22 R Symons (8933_CR42) 2017; 33 T Sellerer (8933_CR46) 2018; 28 S Si-Mohamed (8933_CR39) 2018; 53 D Muenzel (8933_CR2) 2017; 283 S Leng (8933_CR10) 2017; 62 AP Sauter (8933_CR28) 2018; 102 S Si-Mohamed (8933_CR35) 2021; 102 JZ Liang (8933_CR30) 2017; 36 AE Michael (8933_CR20) 2022; 12 R Symons (8933_CR4) 2018; 53 M Eberhard (8933_CR14) 2021; 11 A Pourmorteza (8933_CR3) 2016; 279 A Pourmorteza (8933_CR33) 2018; 53 8933_CR15 JH Niehoff (8933_CR16) 2021 8933_CR18 J Ma (8933_CR29) 2012; 39 S Tao (8933_CR43) 2019; 46 S Si-Mohamed (8933_CR7) 2017; 873 8933_CR13 V Sandfort (8933_CR25) 2021; 15 Z Yu (8933_CR31) 2016; 3 S Si-Mohamed (8933_CR36) 2017; 9 JH Niehoff (8933_CR17) 2022; 149 |
| References_xml | – reference: Si-MohamedSBar-NessDSigovanMReview of an initial experience with an experimental spectral photon-counting computed tomography systemNucl Instruments Methods Phys Res Sect A Accel Spectrometers, Detect Assoc Equip201787327351:CAS:528:DC%2BC2sXhtFOqs73F10.1016/j.nima.2017.04.014 – reference: U.S. Food & Drug Administration (2021) FDA clears first major imaging device advancement for computed tomography in nearly a decade. Available via https://www.fda.gov/news-events/press-announcements/fda-clears-first-major-imaging-device-advancement-computed-tomography-nearly-decade. 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Invest Radiol 57(2):108–114 – reference: Mergen V, Higashigaito K, Allmendinger T et al (2021) Tube voltage-independent coronary calcium scoring on a first-generation dual-source photon-counting CT-a proof-of-principle phantom study. Int J Card Imaging. https://doi.org/10.1007/S10554-021-02466-Y – reference: Higashigaito K, Euler A, Eberhard M, Flohr TG, Schmidt B, Alkadhi H (2021) Contrast-enhanced abdominal CT with clinical photon-counting detector CT: assessment of image quality and comparison with energy-integrating detector CT. Acad Radiol. https://doi.org/10.1016/J.ACRA.2021.06.018 – reference: RajendranKVossBAZhouWDose reduction for sinus and temporal bone imaging using photon-counting detector CT with an additional tin filterInvest Radiol20205529110.1097/RLI.0000000000000614317702978522262 – reference: KraussBGrantKLSchmidtBTFlohrTGThe importance of spectral separation an assessment of dual-energy spectral separation for quantitative ability and dose efficiencyInvest Radiol201550211411810.1097/RLI.000000000000010925373305 – reference: MichaelAEBoriesosdickJSchoenbeckDImage-quality assessment of polyenergetic and virtual monoenergetic reconstructions of unenhanced CT scans of the head: initial experiences with the first photon-counting CT approved for clinical useDiagnostics202212226510.3390/diagnostics12020265352043568871064 – reference: LiangJZLa RivierePJEl FakhriGGlickSJSiewerdsenJGuest editorial low-dose CT: what has been done, and what challenges remain?IEEE Trans Med Imaging201736122409241610.1109/TMI.2017.2768978 – reference: Si-MohamedSBoccaliniSRodeschPAFeasibility of lung imaging with a large field-of-view spectral photon-counting CT systemDiagn Interv Imaging2021102530531210.1016/j.diii.2021.01.00133610503 – reference: RenLRajendranKFletcherJGMcColloughCHYuLSimultaneous dual-contrast imaging of small bowel with iodine and bismuth using photon-counting-detector computed tomography: a feasibility animal studyInvest Radiol202055106886941:CAS:528:DC%2BB3cXhslClt7rN10.1097/RLI.0000000000000687325308687808340 – reference: YuZLengSKapplerSNoise performance of low-dose CT: comparison between an energy integrating detector and a photon counting detector using a whole-body research photon counting CT scannerJ Med Imaging20163410.1117/1.JMI.3.4.043503 – reference: SellererTNoëlPBPatinoMDual-energy CT: a phantom comparison of different platforms for abdominal imagingEur Radiol20182872745275510.1007/s00330-017-5238-529404773 – reference: Mei K, Geagan M, 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K-edge imaging for determination of gold nanoparticle biodistribution in vivoNanoscale201794618246182571:CAS:528:DC%2BC2sXhtV2qsrjK10.1039/C7NR01153A287269685709229 – reference: NiehoffJHWoeltjenMMSaeedSAssessment of hepatic steatosis based on virtual non-contrast computed tomography: Initial experiences with a photon counting scanner approved for clinical useEur J Radiol202214911018510.1016/j.ejrad.2022.11018535149338 – reference: EberhardMMergenVHigashigaitoKCoronary calcium scoring with first generation dual-source photon-counting CT—first evidence from phantom and in-vivo scansDiagnostics202111917081:CAS:528:DC%2BB3MXislCgtLrP10.3390/diagnostics11091708345740498466604 – reference: SymonsRReichDSBagheriMPhoton-counting CT for vascular imaging of the head and neck: first in vivo human resultsInvest Radiol201853313510.1097/RLI.0000000000000418289263705792306 – reference: MaJLiangZFanYVariance analysis of x-ray CT sinograms in the presence of electronic noise backgroundMed 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Evaluation of image characteristics at ultra-low radiation dose levels of a first-generation dual-source photon-counting computed tomography (PCCT)... Evaluation of image characteristics at ultra-low radiation dose levels of a first-generation dual-source photon-counting computed tomography (PCCT) compared to... ObjectiveEvaluation of image characteristics at ultra-low radiation dose levels of a first-generation dual-source photon-counting computed tomography (PCCT)... |
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