共 25 条
Feasibility of ultra-low radiation dose reduction for renal stone CT using model-based iterative reconstruction: prospective pilot study
被引:10
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.
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页码:99 / 103
页数:5
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