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A visual quality control scale for clinical arterial spin labeling images
Fallatah, S. M. (King Abdualaziz Medical City. Radiology Department (Saudi Arabia))
Pizzini, F. B. (University Hospital of Verona. Neuroradiology (Italy))
Gómez Ansón, Beatriz (Hospital de la Santa Creu i Sant Pau)
Magerkurth, J. (Institute of Neurology. Department of Brain Repair and Rehabilitation (UK))
De Vita, E. (Institute of Neurology. Department of Brain Repair and Rehabilitation (UK))
Bisdas, S. (Institute of Neurology. Department of Brain Repair and Rehabilitation (UK))
Jäger, H. R. (Institute of Neurology. Department of Brain Repair and Rehabilitation (UK))
Mutsaerts, H. J. M. M. (Vrije Universiteit Amsterdam. University Medical Center (The Netherlands))
Golay, X. (Institute of Neurology. Department of Brain Repair and Rehabilitation (UK))
Universitat Autònoma de Barcelona

Data: 2018
Resum: Image-quality assessment is a fundamental step before clinical evaluation of magnetic resonance images. The aim of this study was to introduce a visual scoring system that provides a quality control standard for arterial spin labeling (ASL) and that can be applied to cerebral blood flow (CBF) maps, as well as to ancillary ASL images. The proposed image quality control (QC) system had two components: (1) contrast-based QC (cQC), describing the visual contrast between anatomical structures; and (2) artifact-based QC (aQC), evaluating image quality of the CBF map for the presence of common types of artifacts. Three raters evaluated cQC and aQC for 158 quantitative signal targeting with alternating radiofrequency labelling of arterial regions (QUASAR) ASL scans (CBF, T1 relaxation rate, arterial blood volume, and arterial transient time). Spearman correlation coefficient (r), intraclass correlation coefficients (ICC), and receiver operating characteristic analysis were used. Intra/inter-rater agreement ranged from moderate to excellent; inter-rater ICC was 0. 72 for cQC, 0. 60 for aQC, and 0. 74 for the combined QC (cQC + aQC). Intra-rater ICC was 0. 90 for cQC; 0. 80 for aQC, and 0. 90 for the combined QC. Strong correlations were found between aQC and CBF maps quality (r = 0. 75), and between aQC and cQC (r = 0. 70). A QC score of 18 was optimal to discriminate between high and low quality clinical scans. The proposed QC system provided high reproducibility and a reliable threshold for discarding low quality scans. Future research should compare this visual QC system with an automatic QC system.
Nota: Número d'acord de subvenció EC/FP7/1103
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Llengua: Anglès.
Document: article ; publishedVersion
Matèria: Arterial spin labelling ; Magnetic resonance imaging ; Perfusion imaging ; Quality control
Publicat a: European Radiology Experimental, Vol. 2 (December 2018) , art. 45, ISSN 2509-9280

PMID: 30569375
DOI: 10.1186/s41747-018-0073-2


9 p, 1.3 MB

El registre apareix a les col·leccions:
Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències de la salut i biociències > Institut d'Investigació Biomèdica Sant Pau
Articles > Articles publicats

 Registre creat el 2019-06-03, darrera modificació el 2019-08-01



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