scholarly journals Objective assessment of image quality based on image content contrast perception

2020 ◽  
Vol 69 (14) ◽  
pp. 148702
Author(s):  
Jun-Cai Yao ◽  
Jing Shen
Keyword(s):  
Image Quality ◽  
Objective Assessment ◽  
Image Content ◽  
Contrast Perception

Objective assessment of phantom image quality in mammography: a feasibility study.

1998 ◽  
Vol 71 (841) ◽  
pp. 48-58 ◽  
Author(s):  
A D Castellano Smith ◽  
I A Castellano Smith ◽  
D R Dance
Keyword(s):  
Image Quality ◽  
Feasibility Study ◽  
Objective Assessment ◽  
Phantom Image

Objective Assessment of Image Quality

2007 ◽  
pp. 101-114
Author(s):  
Matthew A. Kupinski ◽  
Eric Clarkson
Keyword(s):  
Image Quality ◽  
Objective Assessment

scholarly journals The objective assessment of the image quality based on the geometrical concentration

2020 ◽  
Vol 149 ◽  
pp. 02013
Author(s):  
Evgenii A. Maltsev ◽  
Yurii A. Maglinets ◽  
Ruslan V. Brezhnev
Keyword(s):  
Image Quality ◽  
Satellite Images ◽  
Objective Assessment ◽  
Objective Evaluation ◽  
Image Distortion

The method of the objective evaluation of the satellite images based on the calculation of the geometrical concentration using triangulation Delaunay is proposed. Such assessment allows to estimate the degree of the image distortion and can be used for indexing and filtration data in the satellite images catalogues.

scholarly journals Evaluation of the quality of CT images acquired with smart metal artifact reduction software

2018 ◽  
Vol 13 (1) ◽  
pp. 155-162 ◽  
Author(s):  
Peng Zhou ◽  
Chunling Zhang ◽  
Zhen Gao ◽  
Wangshu Cai ◽  
Deyue Yan ◽  
...  
Keyword(s):  
Image Quality ◽  
Quantitative Assessment ◽  
Objective Assessment ◽  
Ct Images ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Metal Artifacts ◽  
Embolization Coil

AbstractObjectiveTo evaluate the practical effectiveness of smart metal artifact reduction (SMAR) in reducing artifacts caused by metallic implants.MethodsPatients with metal implants underwent computed tomography (CT) examinations on high definition CT scanner, and the data were reconstructed with adaptive statistical iterative reconstruction (ASiR) with value weighted to 40% and smart metal artifact reduction (SMAR) technology. The comparison was assessed by both subjective and objective assessment between the two groups of images. In terms of subjective assessment, three radiologists evaluated image quality and assigned a score for visualization of anatomic structures in the critical areas of interest. Objectively, the absolute CT value of the difference (ΔCT) and artifacts index (AI) were adopted in this study for the quantitative assessment of metal artifacts.ResultsIn subjective image quality assessment, three radiologists scored SMAR images higher than 40% ASiR images (P<0.01) and the result suggested that visualization of critical anatomic structures around the region of the metal object was significantly improved by using SMAR compared with 40% ASiR. The ΔCT and AI for quantitative assessment of metal artifacts showed that SMAR appeared to be superior for reducing metal artifacts (P<0.05) and indicated that this technical approach was more effective in improving the quality of CT images.ConclusionA variety of hardware (dental filling, embolization coil, instrumented spine, hip implant, knee implant) are processed with the SMAR algorithm to demonstrate good recovery of soft tissue around the metal. This artifact reduction allows for the clearer visualization of structures hidden underneath.

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