Literature DB >> 28421243

Assessment of 70-keV virtual monoenergetic spectral images in abdominal CT imaging: A comparison study to conventional polychromatic 120-kVp images.

Negin Rassouli1, Hamid Chalian2, Prabhakar Rajiah3, Amar Dhanantwari4, Luis Landeras5.   

Abstract

PURPOSE: To evaluate the image quality of 70-keV virtual monoenergetic (monoE) abdominal CT images compared to 120-kVp polychromatic images generated from a spectral detector CT (SDCT) scanner.
METHODS: This prospective study included generation of a 120-kVp polychromatic dataset and a 70-keV virtual monoE dataset after a single contrast-enhanced CT acquisition on a SDCT scanner (Philips Healthcare) during portal venous phase. The attenuation values (HU), noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were measured in the liver, spleen, pancreas, kidney, aorta, portal vein, and muscle. The subjective image quality including noise, soft tissue contrast, sharpness, and overall image quality were graded on a 5-point Likert scale by two radiologists independently (1-worst image quality, 5-best image quality). Statistical analysis was performed using paired sample t test and Fleiss's Kappa.
RESULTS: Fifty-five patients (54.3 ± 16.8 y/o; 28 M, 27 F) were recruited. The noise of target organs was significantly lower in virtual monoE images in comparison to polychromatic images (p < 0.001). The SNR and CNR were significantly higher in virtual monoE images (p < 0.001 for both). Subjective image quality of 70-keV virtual monoE images was significantly better (p < 0.001) for all evaluated parameters. Median scores for all subjective parameters were 3.0 versus 4.0 for polychromatic vs virtual monoE images, respectively. The inter-reader agreement for overall image quality was good (Kappa were 0.767 and 0.762 for polychromatic and virtual monoE images, respectively).
CONCLUSION: In abdominal imaging, 70-keV virtual monoE CT images demonstrated significantly better noise, SNR, CNR, and subjective score compared to conventional 120-kVp polychromatic images.

Entities:  

Keywords:  Dual-layer CT; Monoenergetic image; SDCT; Spectral detector CT

Mesh:

Year:  2017        PMID: 28421243     DOI: 10.1007/s00261-017-1151-2

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  7 in total

1.  The application of dual-layer spectral detector computed tomography in solitary pulmonary nodule identification.

Authors:  Qingyun Wen; Yong Yue; Jin Shang; Xiaomei Lu; Lu Gao; Yang Hou
Journal:  Quant Imaging Med Surg       Date:  2021-02

Review 2.  Spectral detector CT applications in advanced liver imaging.

Authors:  Noor Fatima Majeed; Marta Braschi Amirfarzan; Christoph Wald; Jeremy R Wortman
Journal:  Br J Radiol       Date:  2021-05-28       Impact factor: 3.629

3.  Objective and subjective comparison of virtual monoenergetic vs. polychromatic images in patients with pancreatic ductal adenocarcinoma.

Authors:  Lucian Beer; Michael Toepker; Ahmed Ba-Ssalamah; Christian Schestak; Anja Dutschke; Martin Schindl; Alexander Wressnegger; Helmut Ringl; Paul Apfaltrer
Journal:  Eur Radiol       Date:  2019-03-19       Impact factor: 5.315

4.  The optimal monoenergetic spectral image level of coronary computed tomography (CT) angiography on a dual-layer spectral detector CT with half-dose contrast media.

Authors:  Xin Huang; Sizhe Gao; Yue Ma; Xiaomei Lu; Zheng Jia; Yang Hou
Journal:  Quant Imaging Med Surg       Date:  2020-03

Review 5.  Detector-based spectral CT with a novel dual-layer technology: principles and applications.

Authors:  Negin Rassouli; Maryam Etesami; Amar Dhanantwari; Prabhakar Rajiah
Journal:  Insights Imaging       Date:  2017-10-06

6.  Utilization of virtual low-keV monoenergetic images generated using dual-layer spectral detector computed tomography for the assessment of peritoneal seeding from ovarian cancer.

Authors:  Taek Min Kim; Sang Youn Kim; Jeong Yeon Cho; Seung Hyup Kim; Min Hoan Moon
Journal:  Medicine (Baltimore)       Date:  2020-06-05       Impact factor: 1.817

7.  CT-based thermometry with virtual monoenergetic images by dual-energy of fat, muscle and bone using FBP, iterative and deep learning-based reconstruction.

Authors:  Andreas Heinrich; Sebastian Schenkl; David Buckreus; Felix V Güttler; Ulf K-M Teichgräber
Journal:  Eur Radiol       Date:  2021-07-29       Impact factor: 5.315

  7 in total

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