Dose reduction in pediatric abdominal CT: use of iterative reconstruction techniques across different CT platforms

被引：0
作者：
Ranish Deedar Ali Khawaja
Sarabjeet Singh
Alexi Otrakji
Atul Padole
Ruth Lim
Katherine Nimkin
Sjirk Westra
Mannudeep K. Kalra
Michael S. Gee
机构：
[1] MGH Imaging,Harvard Medical School
[2] Massachusetts General Hospital,undefined
来源：
Pediatric Radiology | 2015年 / 45卷
关键词：
Computed tomography; Dose reduction; ALARA; Iterative reconstruction technique; Pediatric;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Dose reduction in children undergoing CT scanning is an important priority for the radiology community and public at large. Drawbacks of radiation reduction are increased image noise and artifacts, which can affect image interpretation. Iterative reconstruction techniques have been developed to reduce noise and artifacts from reduced-dose CT examinations, although reconstruction algorithm, magnitude of dose reduction and effects on image quality vary. We review the reconstruction principles, radiation dose potential and effects on image quality of several iterative reconstruction techniques commonly used in clinical settings, including 3-D adaptive iterative dose reduction (AIDR-3D), adaptive statistical iterative reconstruction (ASIR), iDose, sinogram-affirmed iterative reconstruction (SAFIRE) and model-based iterative reconstruction (MBIR). We also discuss clinical applications of iterative reconstruction techniques in pediatric abdominal CT.
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页码：1046 / 1055
页数：9
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