Iterative reconstruction with multifrequency signal recognition technology to improve low-contrast detectability: A phantom study. (16th June 2022)
- Record Type:
- Journal Article
- Title:
- Iterative reconstruction with multifrequency signal recognition technology to improve low-contrast detectability: A phantom study. (16th June 2022)
- Main Title:
- Iterative reconstruction with multifrequency signal recognition technology to improve low-contrast detectability: A phantom study
- Authors:
- Funama, Yoshinori
Shirasaka, Takashi
Goto, Taiga
Aoki, Yuko
Tanaka, Kana
Yoshida, Ryo - Abstract:
- Background: Brain CT needs more attention to improve the extremely low image contrast and image texture. Purpose: To evaluate the performance of iterative progressive reconstruction with visual modeling (IPV) for the improvement of low-contrast detectability (IPV-LCD) compared with filtered backprojection (FBP) and conventional IPV. Materials and methods: Low-contrast and water phantoms were used. Helical scans were conducted with the use of a CT scanner with 64 detectors. The tube voltage was set at 120 kVp; the tube current was adjusted from 60 to 300 mA with a slice thickness of 0.625 mm and from 20 to 150 mA with a slice thickness of 5.0 mm. Images were reconstructed with the FBP, conventional IPV, and IPV-LCD algorithms. The channelized Hotelling observer (CHO) model was applied in conjunction with the use of low-contrast modules in the low-contrast phantom. The noise power spectrum (NPS) and normalized NPS were calculated. Results: At the same standard and strong levels, the IPV-LCD method improved low-contrast detectability compared with the conventional IPV, regardless of contrast-rod diameters. The mean CHO values at a slice thickness of 0.625 mm were 1.83, 3.28, 4.40, 4.53, and 5.27 for FBP, IPV STD, IPV-LCD STD, IPV STR, and IPV-LCD STR, respectively. The normalized NPS for the IPV-LCD STD and STR images were slightly shifted to the higher frequency compared with that for the FBP image. Conclusion: IPV-LCD images further improve the low-contrast detectabilityBackground: Brain CT needs more attention to improve the extremely low image contrast and image texture. Purpose: To evaluate the performance of iterative progressive reconstruction with visual modeling (IPV) for the improvement of low-contrast detectability (IPV-LCD) compared with filtered backprojection (FBP) and conventional IPV. Materials and methods: Low-contrast and water phantoms were used. Helical scans were conducted with the use of a CT scanner with 64 detectors. The tube voltage was set at 120 kVp; the tube current was adjusted from 60 to 300 mA with a slice thickness of 0.625 mm and from 20 to 150 mA with a slice thickness of 5.0 mm. Images were reconstructed with the FBP, conventional IPV, and IPV-LCD algorithms. The channelized Hotelling observer (CHO) model was applied in conjunction with the use of low-contrast modules in the low-contrast phantom. The noise power spectrum (NPS) and normalized NPS were calculated. Results: At the same standard and strong levels, the IPV-LCD method improved low-contrast detectability compared with the conventional IPV, regardless of contrast-rod diameters. The mean CHO values at a slice thickness of 0.625 mm were 1.83, 3.28, 4.40, 4.53, and 5.27 for FBP, IPV STD, IPV-LCD STD, IPV STR, and IPV-LCD STR, respectively. The normalized NPS for the IPV-LCD STD and STR images were slightly shifted to the higher frequency compared with that for the FBP image. Conclusion: IPV-LCD images further improve the low-contrast detectability compared with FBP and conventional IPV images while maintaining similar FBP image appearances. … (more)
- Is Part Of:
- Acta radiologica open. Volume 11:Number 6(2022)
- Journal:
- Acta radiologica open
- Issue:
- Volume 11:Number 6(2022)
- Issue Display:
- Volume 11, Issue 6 (2022)
- Year:
- 2022
- Volume:
- 11
- Issue:
- 6
- Issue Sort Value:
- 2022-0011-0006-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-06-16
- Subjects:
- iterative reconstruction -- low-contrast detectability -- channelized Hotelling observer -- multifrequency signal recognition technology -- computed tomography
Radiology -- Periodicals
Diagnostic Imaging -- Periodicals
Radiology
Periodicals
616.075705 - Journal URLs:
- http://arr.sagepub.com/ ↗
http://arr.sagepub.com/ ↗
http://www.uk.sagepub.com ↗
http://www.ncbi.nlm.nih.gov/pmc/journals/2704/ ↗ - DOI:
- 10.1177/20584601221109919 ↗
- Languages:
- English
- ISSNs:
- 2058-4601
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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