Image-quality characteristics in the longitudinal direction from different image-reconstruction algorithms during single-rotation volume acquisition on head computed tomography: A phantom study.
Head computed tomography
image quality
longitudinal direction
reconstruction algorithm
single-rotation volume scan
Journal
Acta radiologica open
ISSN: 2058-4601
Titre abrégé: Acta Radiol Open
Pays: England
ID NLM: 101651010
Informations de publication
Date de publication:
Apr 2023
Apr 2023
Historique:
received:
04
11
2022
accepted:
23
03
2023
medline:
24
4
2023
pubmed:
24
4
2023
entrez:
24
04
2023
Statut:
epublish
Résumé
A multi detector computed tomography (CT) scanner with wide-area coverage enables whole-brain volumetric scanning in a single rotation. To investigate variations in image-quality characteristics in the longitudinal direction for different image-reconstruction algorithms and strengths with phantoms. Single-rotation volume scans were performed on a 320-row multidetector CT volume scanner using three types of phantoms. Tube current was set to 200 mA (standard dose) and 50 mA (low dose). All images were reconstructed with filtered back projection (FBP), mild and strong levels with hybrid iterative reconstruction (HIR), and model-based IR (MBIR). Computed tomography numbers, image noise, noise power spectrum (NPS), task-based transfer function (TTF), and visual spatial resolution were used to evaluate uniformity of image quality in the longitudinal direction ( The MBIR images showed smaller variation in CT numbers in the Model-based IR is the optimal image-reconstruction algorithm for single-volume scan of spherical subjects owing to its high in-plane resolution and uniformity of CT numbers, image noise, and NPS in the
Sections du résumé
Background
UNASSIGNED
A multi detector computed tomography (CT) scanner with wide-area coverage enables whole-brain volumetric scanning in a single rotation.
Purpose
UNASSIGNED
To investigate variations in image-quality characteristics in the longitudinal direction for different image-reconstruction algorithms and strengths with phantoms.
Material and methods
UNASSIGNED
Single-rotation volume scans were performed on a 320-row multidetector CT volume scanner using three types of phantoms. Tube current was set to 200 mA (standard dose) and 50 mA (low dose). All images were reconstructed with filtered back projection (FBP), mild and strong levels with hybrid iterative reconstruction (HIR), and model-based IR (MBIR). Computed tomography numbers, image noise, noise power spectrum (NPS), task-based transfer function (TTF), and visual spatial resolution were used to evaluate uniformity of image quality in the longitudinal direction (
Results
UNASSIGNED
The MBIR images showed smaller variation in CT numbers in the
Conclusion
UNASSIGNED
Model-based IR is the optimal image-reconstruction algorithm for single-volume scan of spherical subjects owing to its high in-plane resolution and uniformity of CT numbers, image noise, and NPS in the
Identifiants
pubmed: 37089818
doi: 10.1177/20584601231168986
pii: 10.1177_20584601231168986
pmc: PMC10116848
doi:
Types de publication
Journal Article
Langues
eng
Pagination
20584601231168986Informations de copyright
© The Author(s) 2023.
Déclaration de conflit d'intérêts
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Références
Radiology. 2015 Aug;276(2):339-57
pubmed: 26203706
Eur Radiol. 2020 Jul;30(7):3951-3959
pubmed: 32100091
Acad Radiol. 2017 Jul;24(7):876-890
pubmed: 28262519
Radiology. 2021 Jan;298(1):180-188
pubmed: 33201790
Quant Imaging Med Surg. 2022 Jan;12(1):229-243
pubmed: 34993074
Radiology. 2019 Dec;293(3):491-503
pubmed: 31660806
Radiol Phys Technol. 2009 Jan;2(1):22-32
pubmed: 20821125
Br J Radiol. 2017 Feb;90(1070):20160634
pubmed: 27995807
Radiol Phys Technol. 2014 Jul;7(2):358-66
pubmed: 24880960
Eur J Radiol. 2010 Jun;74(3):413-9
pubmed: 19410406
Jpn J Radiol. 2016 Oct;34(10):691-699
pubmed: 27566608
Med Phys. 2020 Sep;47(9):3961-3971
pubmed: 32506661
Neuroradiology. 2014 Mar;56(3):187-93
pubmed: 24384672
Radiographics. 2014 Jul-Aug;34(4):849-62
pubmed: 25019428
Pediatr Radiol. 2018 Apr;48(4):594-601
pubmed: 29450597
AJR Am J Roentgenol. 2015 Dec;205(6):1269-75
pubmed: 26587933
AJNR Am J Neuroradiol. 2016 Dec;37(12):2189-2194
pubmed: 27561832
Eur Radiol. 2012 Feb;22(2):295-301
pubmed: 21927791
Nat Methods. 2012 Jul;9(7):671-5
pubmed: 22930834
Neurol Sci. 2012 Aug;33(4):741-7
pubmed: 21938465
Med Phys. 2012 Jul;39(7):4115-22
pubmed: 22830744
Phys Med. 2020 Aug;76:28-37
pubmed: 32574999
Med Phys. 2019 Nov;46(11):e735-e756
pubmed: 31408540