Literature DB >> 23074259

Virtual monochromatic reconstruction of dual-energy unenhanced head CT at 65-75 keV maximizes image quality compared with conventional polychromatic CT.

Stuart R Pomerantz1, Shervin Kamalian, Da Zhang, Rajiv Gupta, Otto Rapalino, Dushyant V Sahani, Michael H Lev.   

Abstract

PURPOSE: To determine the virtual monochromatic imaging (VMI) energy levels that maximize brain parenchymal image quality in dual-energy unenhanced head computed tomography (CT) and to assess the improvement with this technique compared with conventional polychromatic scanning.
MATERIALS AND METHODS: Institutional review board approval was obtained with no informed consent required for this HIPAA-compliant retrospective analysis. Twenty-five consecutive unenhanced head CT scans were acquired with a 64-section dual-energy scanner with fast tube voltage switching (80-140 kVp). Scans were retrospectively reconstructed at VMI energy levels from 40 to 140 keV in 5-keV increments and were analyzed by using four quality indexes: gray matter (GM) signal-to-noise ratio (SNR), white matter (WM) SNR, GM-WM contrast-to-noise ratio (CNR), and posterior fossa artifact index (PFAI). Optimal mean values for each parameter were compared with those from 50 consecutive scans obtained with the same scanner in 120-kVp single-energy mode. Repeated-measures analysis of variance and Dunnett post hoc t test were then used to determine significance.
RESULTS: Maximal GM SNR, WM SNR, and GM-WM CNR values were observed at 65 keV, and minimal PFAI was observed at 75 keV. These values were significantly better than those of conventional polychromatic CT (P < .01); quality index improvement ratios (corrected for radiation dose) ranged from 17% to 50%.
CONCLUSION: Virtual monochromatic reconstruction of dual-energy unenhanced head CT scans at 65-75 keV (optimal energy levels) maximizes image quality compared with scans obtained with conventional polychromatic CT. RSNA, 2012

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Year:  2012        PMID: 23074259     DOI: 10.1148/radiol.12111604

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


  40 in total

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Journal:  AJNR Am J Neuroradiol       Date:  2019-12-26       Impact factor: 3.825

Review 2.  Dual energy computed tomography virtual monoenergetic imaging: technique and clinical applications.

Authors:  Tommaso D'Angelo; Giuseppe Cicero; Silvio Mazziotti; Giorgio Ascenti; Moritz H Albrecht; Simon S Martin; Ahmed E Othman; Thomas J Vogl; Julian L Wichmann
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3.  CT angiography of the kidney using routine CT and the latest Gemstone Spectral Imaging combination of different noise indexes: image quality and radiation dose.

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4.  Image quality and radiation dose of brain computed tomography in children: effects of decreasing tube voltage from 120 kVp to 80 kVp.

Authors:  Ji Eun Park; Young Hun Choi; Jung-Eun Cheon; Woo Sun Kim; In-One Kim; Hyun Suk Cho; Young Jin Ryu; Yu Jin Kim
Journal:  Pediatr Radiol       Date:  2017-03-14

5.  Advanced virtual monochromatic reconstruction of dual-energy unenhanced brain computed tomography in children: comparison of image quality against standard mono-energetic images and conventional polychromatic computed tomography.

Authors:  Juil Park; Young Hun Choi; Jung-Eun Cheon; Woo Sun Kim; In-One Kim; Seong Yong Pak; Bernhard Krauss
Journal:  Pediatr Radiol       Date:  2017-06-27

6.  Enhanced gray-white matter differentiation on non-enhanced CT using a frequency selective non-linear blending.

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Journal:  Neuroradiology       Date:  2016-03-10       Impact factor: 2.804

7.  Deep learning-based image reconstruction for brain CT: improved image quality compared with adaptive statistical iterative reconstruction-Veo (ASIR-V).

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Journal:  Neuroradiology       Date:  2020-10-10       Impact factor: 2.804

8.  Comparison of virtual monoenergetic and polyenergetic images reconstructed from dual-layer detector CT angiography of the head and neck.

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Journal:  Eur Radiol       Date:  2017-10-10       Impact factor: 5.315

9.  Different spectral hounsfield unit curve and high-energy virtual monochromatic image characteristics of squamous cell carcinoma compared with nonossified thyroid cartilage.

Authors:  R Forghani; M Levental; R Gupta; S Lam; N Dadfar; H D Curtin
Journal:  AJNR Am J Neuroradiol       Date:  2015-03-05       Impact factor: 3.825

10.  Comparing image quality of single- and dual-energy computed tomography of the brain.

Authors:  Doris Dodig; Slavica Kovačić; Zrinka Matana Kaštelan; Iva Žuža; Filip Benić; Jurković Slaven; Damir Miletić; Zoran Rumboldt
Journal:  Neuroradiol J       Date:  2020-04-21
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