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Effect of a Noise-Optimized Second-Generation Monoenergetic Algorithm on Image Noise and Conspicuity of Hypervascular Liver Tumors: An In Vitro and In Vivo Study.

Publication ,  Journal Article
Marin, D; Ramirez-Giraldo, JC; Gupta, S; Fu, W; Stinnett, SS; Mileto, A; Bellini, D; Patel, B; Samei, E; Nelson, RC
Published in: AJR Am J Roentgenol
June 2016

OBJECTIVE: The purpose of this study is to investigate whether the reduction in noise using a second-generation monoenergetic algorithm can improve the conspicuity of hypervascular liver tumors on dual-energy CT (DECT) images of the liver. MATERIALS AND METHODS: An anthropomorphic liver phantom in three body sizes and iodine-containing inserts simulating hypervascular lesions was imaged with DECT and single-energy CT at various energy levels (80-140 kV). In addition, a retrospective clinical study was performed in 31 patients with 66 hypervascular liver tumors who underwent DECT during the late hepatic arterial phase. Datasets at energy levels ranging from 40 to 80 keV were reconstructed using first- and second-generation monoenergetic algorithms. Noise, tumor-to-liver contrast-to-noise ratio (CNR), and CNR with a noise constraint (CNRNC) set with a maximum noise increase of 50% were calculated and compared among the different reconstructed datasets. RESULTS: The maximum CNR for the second-generation monoenergetic algorithm, which was attained at 40 keV in both phantom and clinical datasets, was statistically significantly higher than the maximum CNR for the first-generation monoenergetic algorithm (p < 0.001) or single-energy CT acquisitions across a wide range of kilovoltage values. With the second-generation monoenergetic algorithm, the optimal CNRNC occurred at 55 keV, corresponding to lower energy levels compared with first-generation algorithm (predominantly at 70 keV). Patient body size did not substantially affect the selection of the optimal energy level to attain maximal CNR and CNRNC using the second-generation monoenergetic algorithm. CONCLUSION: A noise-optimized second-generation monoenergetic algorithm significantly improves the conspicuity of hypervascular liver tumors.

Duke Scholars

Published In

AJR Am J Roentgenol

DOI

EISSN

1546-3141

Publication Date

June 2016

Volume

206

Issue

6

Start / End Page

1222 / 1232

Location

United States

Related Subject Headings

  • Young Adult
  • Tomography, X-Ray Computed
  • Signal-To-Noise Ratio
  • Retrospective Studies
  • Radiography, Dual-Energy Scanned Projection
  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Male
  • Liver Neoplasms
 

Citation

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MLA
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Marin, D., Ramirez-Giraldo, J. C., Gupta, S., Fu, W., Stinnett, S. S., Mileto, A., … Nelson, R. C. (2016). Effect of a Noise-Optimized Second-Generation Monoenergetic Algorithm on Image Noise and Conspicuity of Hypervascular Liver Tumors: An In Vitro and In Vivo Study. AJR Am J Roentgenol, 206(6), 1222–1232. https://doi.org/10.2214/AJR.15.15512
Marin, Daniele, Juan Carlos Ramirez-Giraldo, Sonia Gupta, Wanyi Fu, Sandra S. Stinnett, Achille Mileto, Davide Bellini, Bhavik Patel, Ehsan Samei, and Rendon C. Nelson. “Effect of a Noise-Optimized Second-Generation Monoenergetic Algorithm on Image Noise and Conspicuity of Hypervascular Liver Tumors: An In Vitro and In Vivo Study.AJR Am J Roentgenol 206, no. 6 (June 2016): 1222–32. https://doi.org/10.2214/AJR.15.15512.
Marin D, Ramirez-Giraldo JC, Gupta S, Fu W, Stinnett SS, Mileto A, et al. Effect of a Noise-Optimized Second-Generation Monoenergetic Algorithm on Image Noise and Conspicuity of Hypervascular Liver Tumors: An In Vitro and In Vivo Study. AJR Am J Roentgenol. 2016 Jun;206(6):1222–32.
Marin, Daniele, et al. “Effect of a Noise-Optimized Second-Generation Monoenergetic Algorithm on Image Noise and Conspicuity of Hypervascular Liver Tumors: An In Vitro and In Vivo Study.AJR Am J Roentgenol, vol. 206, no. 6, June 2016, pp. 1222–32. Pubmed, doi:10.2214/AJR.15.15512.
Marin D, Ramirez-Giraldo JC, Gupta S, Fu W, Stinnett SS, Mileto A, Bellini D, Patel B, Samei E, Nelson RC. Effect of a Noise-Optimized Second-Generation Monoenergetic Algorithm on Image Noise and Conspicuity of Hypervascular Liver Tumors: An In Vitro and In Vivo Study. AJR Am J Roentgenol. 2016 Jun;206(6):1222–1232.

Published In

AJR Am J Roentgenol

DOI

EISSN

1546-3141

Publication Date

June 2016

Volume

206

Issue

6

Start / End Page

1222 / 1232

Location

United States

Related Subject Headings

  • Young Adult
  • Tomography, X-Ray Computed
  • Signal-To-Noise Ratio
  • Retrospective Studies
  • Radiography, Dual-Energy Scanned Projection
  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Male
  • Liver Neoplasms