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Evaluation of image...
Evaluation of image quality for 7 iterative reconstruction algorithms in chest computed tomography imaging : A phantom study
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- Jensen, Kristin (författare)
- University of Oslo,Oslo university hospital
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- Hagemo, Guro (författare)
- Oslo university hospital
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- Tingberg, Anders (författare)
- Lund University,Lunds universitet,Medicinsk strålningsfysik, Malmö,Forskargrupper vid Lunds universitet,Medical Radiation Physics, Malmö,Lund University Research Groups,Skåne University Hospital
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- Steinfeldt-Reisse, Claudius (författare)
- Oslo university hospital
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- Mynarek, Georg Karl (författare)
- Oslo university hospital
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- Rivero, Rodriguez Jezabel (författare)
- Oslo university hospital
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- Fosse, Erik (författare)
- University of Oslo,Oslo university hospital
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- Martinsen, Anne Catrine (författare)
- University of Oslo,Oslo university hospital
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(creator_code:org_t)
- 2020
- 2020
- Engelska 8 s.
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Ingår i: Journal of Computer Assisted Tomography. - 0363-8715. ; 44:5, s. 673-680
- Relaterad länk:
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http://dx.doi.org/10...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
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- Objectives This study aimed to evaluate the image quality of 7 iterative reconstruction (IR) algorithms in comparison to filtered back-projection (FBP) algorithm. Methods An anthropomorphic chest phantom was scanned on 4 computed tomography scanners and reconstructed with FBP and IR algorithms. Image quality of anatomical details - large/medium-sized pulmonary vessels, small pulmonary vessels, thoracic wall, and small and large lesions - was scored. Furthermore, general impression of noise, image contrast, and artifacts were evaluated. Visual grading regression was used to analyze the data. Standard deviations were measured, and the noise power spectrum was calculated. Results Iterative reconstruction algorithms showed significantly better results when compared with FBP for these criteria (regression coefficients/P values in parentheses): vessels (FIRST: -1.8/0.05, AIDR Enhanced: <-2.3/0.01, Veo: <-0.1/0.03, ADMIRE: <-2.1/0.04), lesions (FIRST: <-2.6/0.01, AIDR Enhanced: <-1.9/0.03, IMR1: <-2.7/0.01, Veo: <-2.4/0.02, ADMIRE: -2.3/0.02), image noise (FIRST: <-3.2/0.004, AIDR Enhanced: <-3.5/0.002, IMR1: <-6.1/0.001, iDose: <-2.3/0.02, Veo: <-3.4/0.002, ADMIRE: <-3.5/0.02), image contrast (FIRST: -2.3/0.01, AIDR Enhanced: -2.5/0.01, IMR1: -3.7/0.001, iDose: -2.1/0.02), and artifacts (FIRST: <-3.8/0.004, AIDR Enhanced: <-2.7/0.02, IMR1: <-2.6/0.02, iDose: -2.1/0.04, Veo: -2.6/0.02). The iDose algorithm was the only IR algorithm that maintained the noise frequencies. Conclusions Iterative reconstruction algorithms performed differently on all evaluated criteria, showing the importance of careful implementation of algorithms for diagnostic purposes.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
Nyckelord
- computed tomography
- image reconstruction
- radiologic phantom
- thorax
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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