Literature DB >> 31705664

Quantitative accuracy and dose efficiency of dual-contrast imaging using dual-energy CT: a phantom study.

Liqiang Ren1, Kishore Rajendran1, Cynthia H McCollough1, Lifeng Yu1.   

Abstract

PURPOSE: To evaluate the quantitative accuracy and dose efficiency of simultaneous imaging of two contrast agents using dual-energy computed tomography (DECT), two imaging tasks each representing one potential clinical application were investigated in a phantom study: biphasic liver imaging with iodine and gadolinium, and small bowel imaging with iodine and bismuth.
METHODS: To separate and quantify mixtures of two contrast agents using a single DECT scan, mixed iodine and gadolinium samples were prepared with the contrast enhancement values corresponding to the late arterial (iodine) and the portal-venous (gadolinium) phase for biphasic liver imaging. Mixed iodine and bismuth samples were prepared mimicking the arterial (iodine) and the enteric (bismuth) enhancement for small bowel imaging. For comparison to the reference condition of performing two single-energy CT (SECT) scans, contrast samples were prepared separately to mimic separate scans in the arterial/venous phase and arterial/enteric enhancement. Samples were placed in a 35 cm wide water tank and scanned using a third-generation dual-source DECT scanner with three tube potential pairs: 80/Sn150, 90/Sn150, and 100/Sn150 kV, all with default dose partitioning between two x-ray beams to acquire DECT data. The same scanner operated in a single-energy mode acquired SECT data (120 kV). Total radiation dose (CTDIvol) was matched for the single-scan DECT and the two-scan SECT protocols. The DECT protocol was followed by a generic image-based three-material decomposition method to determine the material-specific images, based on which concentrations of each basis material were quantified and noise levels were measured. To compare with the SECT images directly acquired with the SECT protocol, the concentration values in each contrast-specific image were converted to CT numbers at 120 kV (i.e., virtual SECT (vSECT) images). The noise level and noise power spectra differences between the SECT and vSECT images were compared to evaluate the dose efficiency of the single-scan DECT protocol. The impact of dose partitioning in the DECT protocol on quantitative dual-contrast imaging performance was also studied.
RESULTS: For each imaging task, contrast materials were accurately quantified against the nominal concentrations using the DECT data with strong correlation (R2  ≥ 0.98 for both imaging tasks). Compared to the SECT protocol, the DECT protocol was not dose efficient. With the optimal x-ray tube potential pair 80/Sn150 kV, the noise level in vSECT images increased by 401%/488% (arterial/portal-venous) for the biphasic liver imaging task and by 10%/41% (arterial/enteric) for the small bowel imaging task compared to that in SECT images. The corresponding radiation dose increase is 2410%/3357% for the biphasic liver imaging task and 21%/99% for the small bowel imaging task, respectively, to achieve the same noise as that in SECT images. This could be improved by adjusting the dose partitioning in DECT.
CONCLUSIONS: DECT can be used to simultaneously separate and quantify two contrast materials. However, compared to a two-scan SECT protocol, much higher radiation dose is needed in a single-scan DECT protocol to achieve the same image noise, especially for tasks involving the dual contrast of iodine and gadolinium.
© 2019 American Association of Physicists in Medicine.

Entities:  

Keywords:  computed tomography (CT); dose efficiency; dual-contrast imaging; dual-energy CT (DECT); material decomposition; single-energy CT (SECT)

Year:  2019        PMID: 31705664      PMCID: PMC7015798          DOI: 10.1002/mp.13912

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  33 in total

1.  Dose-efficient ultrahigh-resolution scan mode using a photon counting detector computed tomography system.

Authors:  Shuai Leng; Zhicong Yu; Ahmed Halaweish; Steffen Kappler; Katharina Hahn; Andre Henning; Zhoubo Li; John Lane; David L Levin; Steven Jorgensen; Erik Ritman; Cynthia McCollough
Journal:  J Med Imaging (Bellingham)       Date:  2016-12-22

2.  Material decomposition with prior knowledge aware iterative denoising (MD-PKAID).

Authors:  Shengzhen Tao; Kishore Rajendran; Cynthia H McCollough; Shuai Leng
Journal:  Phys Med Biol       Date:  2018-09-21       Impact factor: 3.609

3.  Dual energy CT (DECT) of the liver: conventional versus virtual unenhanced images.

Authors:  Carlo Nicola De Cecco; Vitaliano Buffa; Stefano Fedeli; Monica Luzietti; Andrea Vallone; Roberto Ruopoli; Vittorio Miele; Marco Rengo; Pasquale Paolantonio; Michelangelo Maurizi Enrici; Andrea Laghi; Vincenzo David
Journal:  Eur Radiol       Date:  2010-07-11       Impact factor: 5.315

Review 4.  Quantitative CT for determination of bone mineral density: a review.

Authors:  C E Cann
Journal:  Radiology       Date:  1988-02       Impact factor: 11.105

5.  A Flexible Method for Multi-Material Decomposition of Dual-Energy CT Images.

Authors:  Paulo R S Mendonca; Peter Lamb; Dushyant V Sahani
Journal:  IEEE Trans Med Imaging       Date:  2013-09-16       Impact factor: 10.048

6.  Dual-contrast agent photon-counting computed tomography of the heart: initial experience.

Authors:  Rolf Symons; Tyler E Cork; Manu N Lakshmanan; Robert Evers; Cynthia Davies-Venn; Kelly A Rice; Marvin L Thomas; Chia-Ying Liu; Steffen Kappler; Stefan Ulzheimer; Veit Sandfort; David A Bluemke; Amir Pourmorteza
Journal:  Int J Cardiovasc Imaging       Date:  2017-03-13       Impact factor: 2.357

7.  Toward biphasic computed tomography (CT) enteric contrast: material classification of luminal bismuth and mural iodine in a small-bowel phantom using dual-energy CT.

Authors:  Mingliang Qu; Eric Ehman; Joel G Fletcher; James E Huprich; Amy K Hara; Alvin C Silva; Gianrico Farrugia; Paul Limburg; Cynthia H McCollough
Journal:  J Comput Assist Tomogr       Date:  2012 Sep-Oct       Impact factor: 1.826

8.  Evaluation of conventional imaging performance in a research whole-body CT system with a photon-counting detector array.

Authors:  Zhicong Yu; Shuai Leng; Steven M Jorgensen; Zhoubo Li; Ralf Gutjahr; Baiyu Chen; Ahmed F Halaweish; Steffen Kappler; Lifeng Yu; Erik L Ritman; Cynthia H McCollough
Journal:  Phys Med Biol       Date:  2016-02-02       Impact factor: 3.609

9.  An Intravascular Tantalum Oxide-based CT Contrast Agent: Preclinical Evaluation Emulating Overweight and Obese Patient Size.

Authors:  Jack W Lambert; Yuxin Sun; Carol Stillson; Zhixi Li; Rahi Kumar; Sizhe Wang; Paul F FitzGerald; Peter J Bonitatibus; Robert E Colborn; Jeannette C Roberts; Peter M Edic; Michael Marino; Benjamin M Yeh
Journal:  Radiology       Date:  2018-07-03       Impact factor: 11.105

10.  Assessment of candidate elements for development of spectral photon-counting CT specific contrast agents.

Authors:  Johoon Kim; Daniel Bar-Ness; Salim Si-Mohamed; Philippe Coulon; Ira Blevis; Philippe Douek; David P Cormode
Journal:  Sci Rep       Date:  2018-08-14       Impact factor: 4.379

View more
  6 in total

1.  Radiation dose efficiency of multi-energy photon-counting-detector CT for dual-contrast imaging.

Authors:  Liqiang Ren; Kishore Rajendran; Cynthia H McCollough; Lifeng Yu
Journal:  Phys Med Biol       Date:  2019-12-13       Impact factor: 3.609

2.  Simultaneous dual-contrast imaging using energy-integrating detector multi-energy CT: An in vivo feasibility study.

Authors:  Zhongxing Zhou; Liqiang Ren; Kishore Rajendran; Felix E Diehn; Joel G Fletcher; Cynthia H McCollough; Lifeng Yu
Journal:  Med Phys       Date:  2022-01-27       Impact factor: 4.071

3.  Dual-Contrast Biphasic Liver Imaging With Iodine and Gadolinium Using Photon-Counting Detector Computed Tomography: An Exploratory Animal Study.

Authors:  Liqiang Ren; Nathan Huber; Kishore Rajendran; Joel G Fletcher; Cynthia H McCollough; Lifeng Yu
Journal:  Invest Radiol       Date:  2022-02-01       Impact factor: 6.016

Review 4.  An introduction to photon-counting detector CT (PCD CT) for radiologists.

Authors:  Yuko Nakamura; Toru Higaki; Shota Kondo; Ikuo Kawashita; Isao Takahashi; Kazuo Awai
Journal:  Jpn J Radiol       Date:  2022-10-18       Impact factor: 2.701

5.  Characterization of arterial plaque composition with dual energy computed tomography: a simulation study.

Authors:  Huanjun Ding; Chenggong Wang; Shant Malkasian; Travis Johnson; Sabee Molloi
Journal:  Int J Cardiovasc Imaging       Date:  2020-09-02       Impact factor: 2.357

6.  Simultaneous Dual-Contrast Imaging of Small Bowel With Iodine and Bismuth Using Photon-Counting-Detector Computed Tomography: A Feasibility Animal Study.

Authors:  Liqiang Ren; Kishore Rajendran; Joel G Fletcher; Cynthia H McCollough; Lifeng Yu
Journal:  Invest Radiol       Date:  2020-10       Impact factor: 10.065

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.