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A method for characterizing and matching CT image quality across CT scanners from different manufacturers.

Publication ,  Journal Article
Winslow, J; Zhang, Y; Samei, E
Published in: Med Phys
November 2017

PURPOSE: The purpose of this study was to quantitatively characterize the fundamental aspects of image quality (IQ) associated with different computed tomography (CT) reconstruction algorithms, the resolution, noise texture, noise magnitude per dose, and use those data to devise a methodology to match IQ between different CT systems. METHODS AND MATERIALS: This study entailed a 3-step methodology involving (a) characterizing the noise magnitude, texture, and resolution for a CT system-reconstruction using the relationship between noise magnitude and Computed Tomography Dose Index (CTDI), noise power spectrum (NPS), and modulation transfer function (MTF), (b) developing clinically relevant strategies of weighting the differences among system-reconstructions as a means to determine the best match (c) identifying for each target system-reconstruction, system-reconstructions with matched in terms of that minimum IQ differences. Images of the ACR CT phantom were acquired at two dose levels on each of two CT scanners. Images were reconstructed using all available reconstruction kernels and multiple iterative reconstruction (IR) settings. Each reconstruction was characterized as described above. Percent changes for each IQ metric were calculated for every possible pair of system-reconstructions. Weighting functions, reflecting the human visual system's limit to discriminate between spatial frequencies with differences below 5%, were applied to the differences and the product of the weighted values was used to indicate the best match for each system-reconstruction. RESULTS: Noise texture and resolution are governed by choice of reconstruction kernel and IR strength, while noise magnitude is additionally dependent on dose. Harder kernels have better resolution, finer noise texture, and increase the required dose for a given noise magnitude, and vice versa. Increasing IR strength generally improves resolution, coarsens noise texture, and lowers the required dose. Seventy-one percent of Siemens matches for GE target reconstructions had percent changes in noise texture/resolution under 5%. Seventy-three percent of GE matches for Siemens target reconstructions had percent changes in noise texture/resolution under 5%. ACR phantom images for each matched reconstruction pair appeared similar in both noise magnitude and noise texture. CONCLUSION: Matching image appearance in terms of resolution, noise magnitude, and noise texture provides a quantitative and reproducible strategy to improve consistency in image quality among different CT scanners and reconstructions.

Duke Scholars

Published In

Med Phys

DOI

EISSN

2473-4209

Publication Date

November 2017

Volume

44

Issue

11

Start / End Page

5705 / 5717

Location

United States

Related Subject Headings

  • Tomography Scanners, X-Ray Computed
  • Radiation Dosage
  • Quality Control
  • Nuclear Medicine & Medical Imaging
  • Image Processing, Computer-Assisted
  • 5105 Medical and biological physics
  • 4003 Biomedical engineering
  • 1112 Oncology and Carcinogenesis
  • 0903 Biomedical Engineering
  • 0299 Other Physical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Winslow, J., Zhang, Y., & Samei, E. (2017). A method for characterizing and matching CT image quality across CT scanners from different manufacturers. Med Phys, 44(11), 5705–5717. https://doi.org/10.1002/mp.12554
Winslow, James, Yakun Zhang, and Ehsan Samei. “A method for characterizing and matching CT image quality across CT scanners from different manufacturers.Med Phys 44, no. 11 (November 2017): 5705–17. https://doi.org/10.1002/mp.12554.
Winslow, James, et al. “A method for characterizing and matching CT image quality across CT scanners from different manufacturers.Med Phys, vol. 44, no. 11, Nov. 2017, pp. 5705–17. Pubmed, doi:10.1002/mp.12554.

Published In

Med Phys

DOI

EISSN

2473-4209

Publication Date

November 2017

Volume

44

Issue

11

Start / End Page

5705 / 5717

Location

United States

Related Subject Headings

  • Tomography Scanners, X-Ray Computed
  • Radiation Dosage
  • Quality Control
  • Nuclear Medicine & Medical Imaging
  • Image Processing, Computer-Assisted
  • 5105 Medical and biological physics
  • 4003 Biomedical engineering
  • 1112 Oncology and Carcinogenesis
  • 0903 Biomedical Engineering
  • 0299 Other Physical Sciences