scholarly journals Image quality assessment of an iterative reconstruction algorithm applied to abdominal CT imaging

2014 ◽  
Vol 30 (4) ◽  
pp. 527-534 ◽  
Author(s):  
Yoshinori Funama ◽  
Katsuyuki Taguchi ◽  
Daisuke Utsunomiya ◽  
Seitaro Oda ◽  
Kazuhiro Katahira ◽  
...  
Keyword(s):  
Image Quality ◽  
Quality Assessment ◽  
Iterative Reconstruction ◽  
Image Quality Assessment ◽  
Reconstruction Algorithm ◽  
Ct Imaging ◽  
Abdominal Ct ◽  
Iterative Reconstruction Algorithm

SU-F-207-02: Use of Postmortem Subjects for Subjective Image Quality Assessment in Abdominal CT Protocols with Iterative Reconstruction

2015 ◽  
Vol 42 (6Part26) ◽  
pp. 3542-3542
Author(s):  
A Mench ◽  
I Lipnharski ◽  
C Carranza ◽  
L Sinclair ◽  
R Lamoureux ◽  
...  
Keyword(s):  
Image Quality ◽  
Quality Assessment ◽  
Iterative Reconstruction ◽  
Image Quality Assessment ◽  
Abdominal Ct ◽  
Subjective Image Quality

What is the preferred strength setting of the sinogram-affirmed iterative reconstruction algorithm in abdominal CT imaging?

2014 ◽  
Vol 8 (1) ◽  
pp. 60-63 ◽  
Author(s):  
Andrew D. Hardie ◽  
Rachel M. Nelson ◽  
Robert Egbert ◽  
William J. Rieter ◽  
Sameer V. Tipnis
Keyword(s):  
Iterative Reconstruction ◽  
Reconstruction Algorithm ◽  
Ct Imaging ◽  
Abdominal Ct ◽  
Iterative Reconstruction Algorithm

scholarly journals Comparison of low-contrast detectability between uniform and anatomically realistic phantoms—influences on CT image quality assessment

2021 ◽  
Author(s):  
Juliane Conzelmann ◽  
Ulrich Genske ◽  
Arthur Emig ◽  
Michael Scheel ◽  
Bernd Hamm ◽  
...  
Keyword(s):  
Image Quality ◽  
Quality Assessment ◽  
Dose Reduction ◽  
Iterative Reconstruction ◽  
Image Quality Assessment ◽  
Lesion Detection ◽  
Detection Accuracy ◽  
Test Environment ◽  
Low Contrast ◽  
Dose Effects

Abstract Objectives To evaluate the effects of anatomical phantom structure on task-based image quality assessment compared with a uniform phantom background. Methods Two neck phantom types of identical shape were investigated: a uniform type containing 10-mm lesions with 4, 9, 18, 30, and 38 HU contrast to the surrounding area and an anatomically realistic type containing lesions of the same size and location with 10, 18, 30, and 38 HU contrast. Phantom images were acquired at two dose levels (CTDIvol of 1.4 and 5.6 mGy) and reconstructed using filtered back projection (FBP) and adaptive iterative dose reduction 3D (AIDR 3D). Detection accuracy was evaluated by seven radiologists in a 4-alternative forced choice experiment. Results Anatomical phantom structure impaired lesion detection at all lesion contrasts (p < 0.01). Detectability in the anatomical phantom at 30 HU contrast was similar to 9 HU contrast in uniform images (91.1% vs. 89.5%). Detection accuracy decreased from 83.6% at 5.6 mGy to 55.4% at 1.4 mGy in uniform FBP images (p < 0.001), whereas AIDR 3D preserved detectability at 1.4 mGy (80.7% vs. 85% at 5.6 mGy, p = 0.375) and was superior to FBP (p < 0.001). In the assessment of anatomical images, superiority of AIDR 3D was not confirmed and dose reduction moderately affected detectability (74.6% vs. 68.2%, p = 0.027 for FBP and 81.1% vs. 73%, p = 0.018 for AIDR 3D). Conclusions A lesion contrast increase from 9 to 30 HU is necessary for similar detectability in anatomical and uniform neck phantom images. Anatomical phantom structure influences task-based assessment of iterative reconstruction and dose effects. Key Points • A lesion contrast increase from 9 to 30 HU is necessary for similar low-contrast detectability in anatomical and uniform neck phantom images. • Phantom background structure influences task-based assessment of iterative reconstruction and dose effects. • Transferability of CT assessment to clinical imaging can be expected to improve as the realism of the test environment increases.

scholarly journals Influence of model based iterative reconstruction algorithm on image quality of multiplanar reformations in reduced dose chest CT

2016 ◽  
Vol 5 (8) ◽  
pp. 205846011666229 ◽  
Author(s):  
Heloise Barras ◽  
Vincent Dunet ◽  
Anne-Lise Hachulla ◽  
Jochen Grimm ◽  
Catherine Beigelman-Aubry
Keyword(s):  
Image Quality ◽  
Iterative Reconstruction ◽  
Reconstruction Algorithm ◽  
Chest Ct ◽  
Iterative Reconstruction Algorithm ◽  
Reduced Dose ◽  
Model Based ◽  
Multiplanar Reformations

Image quality assessment of ultra low-dose chest CT using sinogram-affirmed iterative reconstruction

2014 ◽  
Vol 24 (4) ◽  
pp. 817-826 ◽  
Author(s):  
So Won Lee ◽  
Yookyung Kim ◽  
Sung Shine Shim ◽  
Jeong Kyong Lee ◽  
Seok Jeong Lee ◽  
...  
Keyword(s):  
Image Quality ◽  
Quality Assessment ◽  
Iterative Reconstruction ◽  
Low Dose ◽  
Image Quality Assessment ◽  
Chest Ct
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