Initial performance evaluation of iterative model reconstruction in abdominal computed tomography

J Comput Assist Tomogr. May-Jun 2014;38(3):408-14. doi: 10.1097/RCT.0000000000000062.

Abstract

Objective: The aim of this study was to present initial evaluation of the performance of the iterative model reconstruction algorithm (IMR) in abdominal computed tomography (CT).

Methods: Computed tomographic examinations were performed for clinical study of 36 patients and for phantom study. We reconstructed the raw data with 1.0- and 5.0-mm slice thicknesses using filtered back projection (FBP), iDose4, and IMR and evaluated image quality objectively and subjectively.

Results: For almost all subjective characteristics, the image quality was better using IMR than iDose4. Objective image noise was significantly less using IMR than iDose4 (P < 0.0001). The contrast-noise ratio of both slice thicknesses increased in order from FBP to iDose4 to IMR. The spatial resolution of reconstructed images was almost identical using IMR, FBP, and iDose4.

Conclusions: The IMR can significantly improve image noise and low-contrast resolution and maintain edge sharpness in abdominal CT images compared with iDose4 or FBP.

Publication types

  • Evaluation Study

MeSH terms

  • Adult
  • Aged, 80 and over
  • Algorithms
  • Computer Simulation
  • Female
  • Hepatitis, Chronic / diagnostic imaging*
  • Humans
  • Liver Cirrhosis / diagnostic imaging*
  • Male
  • Middle Aged
  • Models, Biological*
  • Phantoms, Imaging
  • Pilot Projects
  • Radiographic Image Enhancement / methods*
  • Radiographic Image Interpretation, Computer-Assisted / methods*
  • Radiography, Abdominal / instrumentation
  • Radiography, Abdominal / methods*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Tomography, X-Ray Computed / instrumentation
  • Tomography, X-Ray Computed / methods*