A visual quality control scale for clinical arterial spin labeling images

被引：5

作者：

Fallatah S.M. ^{[1
,2
,3
]}

Pizzini F.B. ^{[4
]}

Gomez-Anson B. ^{[5
]}

Magerkurth J. ^{[1
]}

De Vita E. ^{[1
,2
]}

Bisdas S. ^{[1
,2
]}

Jäger H.R. ^{[1
,2
]}

Mutsaerts H.J.M.M. ^{[6
,7
,8
]}

Golay X. ^{[1
,2
]}

机构：

[1] Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London

[2] The National Hospital for Neurology and Neurosurgery, London

[3] Radiology Department, King Abdualaziz Medical City, Riyadh

[4] Neuroradiology, University Hospital of Verona, Piazzale Stefani 1, Verona

[5] Unitat Neuroradiologia, Hospital de la Santa Creu i Sant Pau, IIB-Sant Pau, Universitat Autonoma, Barcelona

[6] Radiology Department, Academic Medical Center, Amsterdam

[7] Radiology Department, Vrije Universiteit University Medical Center, Amsterdam

[8] Radiology Department, University Medical Center Utrecht, Utrecht

来源：

European Radiology Experimental | / 2卷 / 1期

关键词：

Arterial spin labelling; Magnetic resonance imaging; Perfusion imaging; Quality control;

D O I：

10.1186/s41747-018-0073-2

中图分类号：

学科分类号：

摘要：

Background: 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. Methods: 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. Results: 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. Conclusions: 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. © 2018, The Author(s).

引用

共 37 条

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