2015
DOI: 10.1016/j.crad.2015.04.004
|View full text |Cite
|
Sign up to set email alerts
|

Feasibility of radiation dose reduction using AIDR-3D in dynamic pulmonary CT perfusion

Abstract: AIDR-3D produced significantly lower noise images than FBP-based algorithms and maintained consistent noise levels in lung at 12.5 mAs, indicating this algorithm is suitable for reduced dose lung perfusion imaging. Iterative reconstruction allows significant radiation dose reduction of up to fourfold in smaller patients, and up to twofold in the medium/large size patients. The increase in perfusion values at 25% simulated tube currents is attributed to attenuation bias.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

0
4
0

Year Published

2016
2016
2021
2021

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 13 publications
(4 citation statements)
references
References 21 publications
0
4
0
Order By: Relevance
“…The swine also had a small effective diameter (23 cm) as compared to the average 34 cm effective diameter of patients with CAD [ 38 ], i.e., the performance of the technique may degrade in larger patients due to increased photon starvation and attenuation bias [ 39 ]. However, exposure control methods can maintain a fixed measurement noise for larger effective diameters, although effective dose increases proportionally, as previously approximated with water phantoms [ 21 ].…”
Section: Discussionmentioning
confidence: 99%
“…The swine also had a small effective diameter (23 cm) as compared to the average 34 cm effective diameter of patients with CAD [ 38 ], i.e., the performance of the technique may degrade in larger patients due to increased photon starvation and attenuation bias [ 39 ]. However, exposure control methods can maintain a fixed measurement noise for larger effective diameters, although effective dose increases proportionally, as previously approximated with water phantoms [ 21 ].…”
Section: Discussionmentioning
confidence: 99%
“…As a result, the artifacts caused by previous helical motions were reduced. However, FBP has relatively high requirements for the raw data; in particular, it is vulnerable to the quantities of photons needed for projection imaging, of which SD, SNR and CNR are more vulnerable; therefore, it is possible that the image quality cannot meet the diagnostic demand ( 16 , 17 ). Reconstruction with AIDR-3D is less affected by image noises; after several iterative procedures and constant optimization of noises, the SNR and CNR could be increased, so as to meet the diagnostic demands by guaranteeing the image quality ( 18 ).…”
Section: Discussionmentioning
confidence: 99%
“…Such a relation is problematic at very low tube currents, as photon starvation leads to attenuation bias, which leads to perfusion measurement inaccuracy. 34 Fortunately, work by Mirsadraee et al 34 suggests that a tube current as low as 50 mA may be used over a large range of effective diameters with minimal attenuation bias, although measurement noise increases for larger effective diameters. That being said, adequate noise reduction may still be achieved using model-based iterative reconstruction algorithms such as FIRST.…”
Section: Limitationsmentioning
confidence: 99%
“…Therefore, considerable effort was made to tightly control ventilation, anesthesia, IV fluid administration, and hemodynamics between acquisitions. As an alternative solution, artificial noise could have been added to the raw data projections of the reference standard retrospective acquisitions to simulate reduced tube current acquisitions, 34 but raw data projection access was not possible in this study. Of additional note, the swine had high heart rates-a common impediment to accurate dynamic CT perfusion measurement.…”
Section: Limitationsmentioning
confidence: 99%