Literature DB >> 29185902

Intermanufacturer Comparison of Dual-Energy CT Iodine Quantification and Monochromatic Attenuation: A Phantom Study.

Megan C Jacobsen1, Dawid Schellingerhout1, Cayla A Wood1, Eric P Tamm1, Myrna C Godoy1, Jia Sun1, Dianna D Cody1.   

Abstract

Purpose To determine the accuracy of dual-energy computed tomographic (CT) quantitation in a phantom system comparing fast kilovolt peak-switching, dual-source, split-filter, sequential-scanning, and dual-layer detector systems. Materials and Methods A large elliptical phantom containing iodine (2, 5, and 15 mg/mL), simulated contrast material-enhanced blood, and soft-tissue inserts with known elemental compositions was scanned three to five times with seven dual-energy CT systems and a total of 10 kilovolt peak settings. Monochromatic images (50, 70, and 140 keV) and iodine concentration images were created. Mean iodine concentration and monochromatic attenuation for each insert and reconstruction energy level were recorded. Measurement bias was assessed by using the sum of the mean signed errors measured across relevant inserts for each monochromatic energy level and iodine concentration. Iodine and monochromatic errors were assessed by using the root sum of the squared error of all measurements. Results At least one acquisition paradigm per scanner had iodine biases (range, -2.6 to 1.5 mg/mL) with significant differences from zero. There were no significant differences in iodine error (range, 0.44-1.70 mg/mL) among the top five acquisition paradigms (one fast kilovolt peak switching, three dual source, and one sequential scanning). Monochromatic bias was smallest for 70 keV (-12.7 to 15.8 HU) and largest for 50 keV (-80.6 to 35.2 HU). There were no significant differences in monochromatic error (range, 11.4-52.0 HU) among the top three acquisition paradigms (one dual source and two fast kilovolt peak switching). The lowest accuracy for both measures was with a split-filter system. Conclusion Iodine and monochromatic accuracy varies among systems, but dual-source and fast kilovolt-switching generally provided the most accurate results in a large phantom. © RSNA, 2017 Online supplemental material is available for this article.

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Year:  2017        PMID: 29185902     DOI: 10.1148/radiol.2017170896

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  34 in total

1.  Dual-source multienergy CT with triple or quadruple x-ray beams.

Authors:  Lifeng Yu; Liqiang Ren; Zhoubo Li; Shuai Leng; Cynthia H McCollough
Journal:  J Med Imaging (Bellingham)       Date:  2018-07-24

Review 2.  Use of dual-energy CT for renal mass assessment.

Authors:  Shanigarn Thiravit; Christina Brunnquell; Larry M Cai; Mena Flemon; Achille Mileto
Journal:  Eur Radiol       Date:  2020-11-18       Impact factor: 5.315

Review 3.  Technical background of a novel detector-based approach to dual-energy computed tomography.

Authors:  Nils Große Hokamp; David Maintz; Nadav Shapira; De Hua Chang; Peter B Noël
Journal:  Diagn Interv Radiol       Date:  2020-01       Impact factor: 2.630

4.  Development of a dual-energy computed tomography quality control program: Characterization of scanner response and definition of relevant parameters for a fast-kVp switching dual-energy computed tomography system.

Authors:  Jessica L Nute; Megan C Jacobsen; Wolfgang Stefan; Wei Wei; Dianna D Cody
Journal:  Med Phys       Date:  2018-03-15       Impact factor: 4.071

5.  How accurate and precise are CT based measurements of iodine concentration? A comparison of the minimum detectable concentration difference among single source and dual source dual energy CT in a phantom study.

Authors:  André Euler; Justin Solomon; Maciej A Mazurowski; Ehsan Samei; Rendon C Nelson
Journal:  Eur Radiol       Date:  2018-10-01       Impact factor: 5.315

6.  Deep-learning-based direct inversion for material decomposition.

Authors:  Hao Gong; Shengzhen Tao; Kishore Rajendran; Wei Zhou; Cynthia H McCollough; Shuai Leng
Journal:  Med Phys       Date:  2020-10-30       Impact factor: 4.071

7.  Dual-energy CT-based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer.

Authors:  Jing Li; Di Dong; Mengjie Fang; Rui Wang; Jie Tian; Hailiang Li; Jianbo Gao
Journal:  Eur Radiol       Date:  2020-01-17       Impact factor: 5.315

8.  Dual-layer dual-energy computed tomography for the assessment of hypovascular hepatic metastases: impact of closing k-edge on image quality and lesion detectability.

Authors:  Yasunori Nagayama; Ayumi Iyama; Seitaro Oda; Narumi Taguchi; Takeshi Nakaura; Daisuke Utsunomiya; Yoko Kikuchi; Yasuyuki Yamashita
Journal:  Eur Radiol       Date:  2018-10-30       Impact factor: 5.315

9.  Prediction of Hemorrhage after Successful Recanalization in Patients with Acute Ischemic Stroke: Improved Risk Stratification Using Dual-Energy CT Parenchymal Iodine Concentration Ratio Relative to the Superior Sagittal Sinus.

Authors:  D Byrne; J P Walsh; H Schmiedeskamp; F Settecase; M K S Heran; B Niu; A K Salmeen; B Rohr; T S Field; N Murray; A Rohr
Journal:  AJNR Am J Neuroradiol       Date:  2020-01-02       Impact factor: 3.825

10.  Effects of radiation dose levels and spectral iterative reconstruction levels on the accuracy of iodine quantification and virtual monochromatic CT numbers in dual-layer spectral detector CT: an iodine phantom study.

Authors:  Xiaomei Lu; Zaiming Lu; Jiandong Yin; Yuying Gao; Xingbiao Chen; Qiyong Guo
Journal:  Quant Imaging Med Surg       Date:  2019-02
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