Feasibility of ultra-low radiation dose reduction for renal stone CT using model-based iterative reconstruction: Prospective pilot study

J. Scott Kriegshauser, Sailen G. Naidu, Robert G. Paden, Miao He, Qing Wu, Amy K. Hara

Research output: Contribution to journalArticle

7 Scopus citations

Abstract

Purpose: To compare dose, reader assessments, and noise between ultra-low-dose (ULD) and low-dose (LD) renal stone computed tomography (CT) using multiple reconstruction methods. Materials and methods: Prospective study of 19 patients having noncontrast LD and ULD renal stone CT reconstructed using filtered back projection, adaptive statistical iterative reconstruction (ASIR), and model-based iterative reconstruction (MBIR). Dose, noise measurements, and subjective image assessments were recorded. Results: ULD volume CT dose index was 61% less. Noise was 50% less with ULD MBIR than with LD ASIR (P<.001); no other significant differences existed. Conclusion: ULD MBIR is comparable to our standard of care, LD ASIR, with 61% lower dose and 50% less noise.

Original languageEnglish (US)
Pages (from-to)99-103
Number of pages5
JournalClinical Imaging
Volume39
Issue number1
DOIs
StatePublished - Jan 1 2015

Keywords

  • Computed tomography
  • Model-based iterative reconstruction (MBIR)
  • Radiation dose
  • Renal stones

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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