Document Detail


CT image quality improvement using adaptive iterative dose reduction with wide-volume acquisition on 320-detector CT.
MedLine Citation:
PMID:  21927791     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
OBJECTIVES: To evaluate the impact of Adaptive Iterative Dose Reduction (AIDR) on image quality and radiation dose in phantom and patient studies. METHODS: A phantom was examined in volumetric mode on a 320-detector CT at different tube currents from 25 to 550 mAs. CT images were reconstructed with AIDR and with Filtered Back Projection (FBP) reconstruction algorithm. Image noise, Contrast-to-Noise Ratio (CNR), Signal-to-Noise Ratio (SNR) and spatial resolution were compared between FBP and AIDR images. AIDR was then tested on 15 CT examinations of the lumbar spine in a prospective study. Again, FBP and AIDR images were compared. Image noise and SNR were analysed using a Wilcoxon signed-rank test. RESULTS: In the phantom, spatial resolution assessment showed no significant difference between FBP and AIDR reconstructions. Image noise was lower with AIDR than with FBP images with a mean reduction of 40%. CNR and SNR were also improved with AIDR. In patients, quantitative and subjective evaluation showed that image noise was significantly lower with AIDR than with FBP. SNR was also greater with AIDR than with FBP. CONCLUSION: Compared to traditional FBP reconstruction techniques, AIDR significantly improves image quality and has the potential to decrease radiation dose. KEY POINTS: This study showed that Adaptive Iterative Dose Reduction (AIDR) reduces image noise. In a phantom image noise was reduced without altering spatial resolution. In patients AIDR reduced the image noise in lumbar spine CT. AIDR can potentially reduce the dose for lumbar spine CT by 52%.
Authors:
Alban Gervaise; Benoît Osemont; Sophie Lecocq; Alain Noel; Emilien Micard; Jacques Felblinger; Alain Blum
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-9-17
Journal Detail:
Title:  European radiology     Volume:  -     ISSN:  1432-1084     ISO Abbreviation:  -     Publication Date:  2011 Sep 
Date Detail:
Created Date:  2011-9-19     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9114774     Medline TA:  Eur Radiol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Service d'Imagerie Médicale, Hôpital d'Instruction des Armées Legouest, 27 Avenue de Plantières, 57070, Metz, France, alban.gervaise@hotmail.fr.
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