Literature DB >> 32215937

Principles and applications of multienergy CT: Report of AAPM Task Group 291.

Cynthia H McCollough1, Kirsten Boedeker2, Dianna Cody3, Xinhui Duan4, Thomas Flohr5, Sandra S Halliburton6, Jiang Hsieh7, Rick R Layman3, Norbert J Pelc8.   

Abstract

In x-ray computed tomography (CT), materials with different elemental compositions can have identical CT number values, depending on the mass density of each material and the energy of the detected x-ray beam. Differentiating and classifying different tissue types and contrast agents can thus be extremely challenging. In multienergy CT, one or more additional attenuation measurements are obtained at a second, third or more energy. This allows the differentiation of at least two materials. Commercial dual-energy CT systems (only two energy measurements) are now available either using sequential acquisitions of low- and high-tube potential scans, fast tube-potential switching, beam filtration combined with spiral scanning, dual-source, or dual-layer detector approaches. The use of energy-resolving, photon-counting detectors is now being evaluated on research systems. Irrespective of the technological approach to data acquisition, all commercial multienergy CT systems circa 2020 provide dual-energy data. Material decomposition algorithms are then used to identify specific materials according to their effective atomic number and/or to quantitate mass density. These algorithms are applied to either projection or image data. Since 2006, a number of clinical applications have been developed for commercial release, including those that automatically (a) remove the calcium signal from bony anatomy and/or calcified plaque; (b) create iodine concentration maps from contrast-enhanced CT data and/or quantify absolute iodine concentration; (c) create virtual non-contrast-enhanced images from contrast-enhanced scans; (d) identify perfused blood volume in lung parenchyma or the myocardium; and (e) characterize materials according to their elemental compositions, which can allow in vivo differentiation between uric acid and non-uric acid urinary stones or uric acid (gout) or non-uric acid (calcium pyrophosphate) deposits in articulating joints and surrounding tissues. In this report, the underlying physical principles of multienergy CT are reviewed and each of the current technical approaches are described. In addition, current and evolving clinical applications are introduced. Finally, the impact of multienergy CT technology on patient radiation dose is summarized.
© 2020 American Association of Physicists in Medicine.

Entities:  

Keywords:  dual-energy CT; material decomposition; material selective; multienergy CT; virtual monoenergetic; virtual noncontrast

Mesh:

Substances:

Year:  2020        PMID: 32215937     DOI: 10.1002/mp.14157

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


  20 in total

Review 1.  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

2.  Dual source hybrid spectral micro-CT using an energy-integrating and a photon-counting detector.

Authors:  M D Holbrook; D P Clark; C T Badea
Journal:  Phys Med Biol       Date:  2020-10-21       Impact factor: 3.609

3.  Early reduction in spectral dual-layer detector CT parameters as favorable imaging biomarkers in patients with metastatic renal cell carcinoma.

Authors:  Finn Rasmussen; Frede Donskov; Aska Drljevic-Nielsen; Jill R Mains; Kennet Thorup; Michael Brun Andersen
Journal:  Eur Radiol       Date:  2022-05-05       Impact factor: 5.315

4.  Virtual monoenergetic images from dual-energy CT: systematic assessment of task-based image quality performance.

Authors:  Davide Cester; Matthias Eberhard; Hatem Alkadhi; André Euler
Journal:  Quant Imaging Med Surg       Date:  2022-01

5.  Accuracy of virtual monochromatic images generated by the decomposition of photoelectric absorption and Compton scatter in dual-energy computed tomography.

Authors:  Kazuhiro Sato; Chifumi Sato; Ayami Takahashi; Hirokazu Takano; Shingo Kayano; Ayana Ishiguro; Yumi Takane; Tomohiro Kaneta
Journal:  Phys Eng Sci Med       Date:  2022-01-28

6.  Impact Analysis of Different CT Configurations of Carotid Artery Plaque Calcifications on Cerebrovascular Events.

Authors:  L Saba; H Chen; R Cau; G D Rubeis; G Zhu; F Pisu; B Jang; G Lanzino; J S Suri; Y Qi; M Wintermark
Journal:  AJNR Am J Neuroradiol       Date:  2022-02       Impact factor: 3.825

7.  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

8.  PET-enabled dual-energy CT: image reconstruction and a proof-of-concept computer simulation study.

Authors:  Guobao Wang
Journal:  Phys Med Biol       Date:  2020-12-17       Impact factor: 3.609

9.  Gene expression changes and DNA damage after ex vivo exposure of peripheral blood cells to various CT photon spectra.

Authors:  Hanns Leonhard Kaatsch; Benjamin Valentin Becker; Simone Schüle; Patrick Ostheim; Kai Nestler; Julia Jakobi; Barbara Schäfer; Thomas Hantke; Marc A Brockmann; Michael Abend; Stephan Waldeck; Matthias Port; Harry Scherthan; Reinhard Ullmann
Journal:  Sci Rep       Date:  2021-06-08       Impact factor: 4.379

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.