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Use of a Noise Optimized Monoenergetic Algorithm for Patient-Size Independent Selection of an Optimal Energy Level During Dual-Energy CT of the Pancreas.

Publication ,  Journal Article
Bellini, D; Gupta, S; Ramirez-Giraldo, JC; Fu, W; Stinnett, SS; Patel, B; Mileto, A; Marin, D
Published in: J Comput Assist Tomogr
January 2017

PURPOSE: To investigate the impact of a second-generation noise-optimized monoenergetic algorithm on selection of the optimal energy level, image quality, and effect of patient body habitus for dual-energy multidetector computed tomography of the pancreas. MATERIALS AND METHODS: Fifty-nine patients (38 men, 21 women) underwent dual-energy multidetector computed tomography (80/Sn140 kV) in the pancreatic parenchymal phase. Image data sets, at energy levels ranging from 40 to 80 keV (in 5-keV increments), were reconstructed using first-generation and second-generation noise-optimized monoenergetic algorithm. Noise, pancreatic contrast-to-noise ratio (CNRpancreas), and CNR with a noise constraint (CNRNC) were calculated and compared among the different reconstructed data sets. Qualitative assessment of image quality was performed by 3 readers. RESULTS: For all energy levels below 70 keV, noise was significantly lower (P ≤ 0.05) and CNRpancreas significantly higher (P < 0.001), with the second-generation monoenergetic algorithm. Furthermore, the second-generation algorithm was less susceptible to variability related to patient body habitus in the selection of the optimal energy level. The maximal CNRpancreas occurred at 40 keV in 98% (58 of 59) of patients with the second-generation monoenergetic algorithm. However, the CNRNC and readers' image quality scores showed that, even with a second-generation monoenergetic algorithm, higher reconstructed energy levels (60-65 keV) represented the optimal energy level. CONCLUSIONS: Second-generation noise-optimized monoenergetic algorithm can improve the image quality of lower-energy monoenergetic images of the pancreas, while decreasing the variability related to patient body habitus in selection of the optimal energy level.

Duke Scholars

Published In

J Comput Assist Tomogr

DOI

EISSN

1532-3145

Publication Date

January 2017

Volume

41

Issue

1

Start / End Page

39 / 47

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Signal-To-Noise Ratio
  • Sensitivity and Specificity
  • Reproducibility of Results
  • Radiography, Dual-Energy Scanned Projection
  • Radiographic Image Enhancement
  • Radiation Protection
  • Radiation Exposure
  • Radiation Dosage
  • Pancreatic Neoplasms
 

Citation

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Bellini, D., Gupta, S., Ramirez-Giraldo, J. C., Fu, W., Stinnett, S. S., Patel, B., … Marin, D. (2017). Use of a Noise Optimized Monoenergetic Algorithm for Patient-Size Independent Selection of an Optimal Energy Level During Dual-Energy CT of the Pancreas. J Comput Assist Tomogr, 41(1), 39–47. https://doi.org/10.1097/RCT.0000000000000492
Bellini, Davide, Sonia Gupta, Juan Carlos Ramirez-Giraldo, Wanyi Fu, Sandra S. Stinnett, Bhavik Patel, Achille Mileto, and Daniele Marin. “Use of a Noise Optimized Monoenergetic Algorithm for Patient-Size Independent Selection of an Optimal Energy Level During Dual-Energy CT of the Pancreas.J Comput Assist Tomogr 41, no. 1 (January 2017): 39–47. https://doi.org/10.1097/RCT.0000000000000492.
Bellini D, Gupta S, Ramirez-Giraldo JC, Fu W, Stinnett SS, Patel B, et al. Use of a Noise Optimized Monoenergetic Algorithm for Patient-Size Independent Selection of an Optimal Energy Level During Dual-Energy CT of the Pancreas. J Comput Assist Tomogr. 2017 Jan;41(1):39–47.
Bellini, Davide, et al. “Use of a Noise Optimized Monoenergetic Algorithm for Patient-Size Independent Selection of an Optimal Energy Level During Dual-Energy CT of the Pancreas.J Comput Assist Tomogr, vol. 41, no. 1, Jan. 2017, pp. 39–47. Pubmed, doi:10.1097/RCT.0000000000000492.
Bellini D, Gupta S, Ramirez-Giraldo JC, Fu W, Stinnett SS, Patel B, Mileto A, Marin D. Use of a Noise Optimized Monoenergetic Algorithm for Patient-Size Independent Selection of an Optimal Energy Level During Dual-Energy CT of the Pancreas. J Comput Assist Tomogr. 2017 Jan;41(1):39–47.

Published In

J Comput Assist Tomogr

DOI

EISSN

1532-3145

Publication Date

January 2017

Volume

41

Issue

1

Start / End Page

39 / 47

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Signal-To-Noise Ratio
  • Sensitivity and Specificity
  • Reproducibility of Results
  • Radiography, Dual-Energy Scanned Projection
  • Radiographic Image Enhancement
  • Radiation Protection
  • Radiation Exposure
  • Radiation Dosage
  • Pancreatic Neoplasms