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

被引:11
作者
Kriegshauser, J. Scott [1 ]
Naidu, Sailen G. [1 ]
Paden, Robert G. [1 ]
He, Miao [4 ]
Wu, Qing [3 ]
Hara, Amy K. [2 ]
机构
[1] Mayo Clin Hosp, Dept Radiol, Phoenix, AZ 85054 USA
[2] Mayo Clin, Dept Radiol, Scottsdale, AZ USA
[3] Mayo Clin, Div Hlth Sci Res, Scottsdale, AZ USA
[4] Arizona State Univ, Dept Ind Engn, Tempe, AZ USA
关键词
Computed tomography; Model-based iterative reconstruction (MBIR); Radiation dose; Renal stones; FILTERED BACK-PROJECTION; COMPUTED-TOMOGRAPHY; ABDOMINAL CT; IMAGE QUALITY; COLONOGRAPHY; ALGORITHM; CALCULI; HYBRID; CANCER;
D O I
10.1016/j.clinimag.2014.10.013
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:99 / 103
页数:5
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