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Quantitative assessment of structural image quality

Adon F.G. Rosen, David R. Roalf, Kosha Ruparel, Jason Blake, Kevin Seelaus, Lakshmi P. Villa, Rastko Ciric, Philip A. Cook, Christos Davatzikos, Mark A. Elliott, Angel Garcia de La Garza, Efstathios D. Gennatas (+8 others)
2018 NeuroImage  
However, objective measures of data quality are not available for most structural brain images.  ...  Here we sought to identify quantitative measures of data quality for T1-weighted volumes, describe how such measures of quality relate to cortical thickness, and delineate how this in turn may bias inference  ...  Support for developing statistical analyses (RTS & TDS) was provided by a seed grant by the Center for Biomedical Computing and Image Analysis (CBICA) at Penn.  ... 
doi:10.1016/j.neuroimage.2017.12.059 pmid:29278774 pmcid:PMC5856621 fatcat:lslof5hxvrhx7gpyaiafibheqq

Quality Assessment of Images Projected Using Multiple Projectors

2015 KSII Transactions on Internet and Information Systems  
In this work, we present a framework to quantitatively determine the quality of an MPD system and any image projected using such a system.  ...  We have tested the proposed framework and demonstrated that it provides an acceptable method for both quantitative evaluation of MPD systems and estimation of the perceptual quality of any image projected  ...  Proposed Framework for Quality Assessment Quality assessment of images is an important tool in image processing. Quality assessment can be qualitative or quantitative.  ... 
doi:10.3837/tiis.2015.06.015 fatcat:s5r6dosvpvax3b6jingclk5uii

Factors Impacting Echocardiographic Imaging after the Fontan Procedure: A Report from the Pediatric Heart Network Fontan Cross-Sectional Study

Richard V. Williams, Renee Margossian, Minmin Lu, Andrew M. Atz, Timothy J. Bradley, Michael Jay Campbell, Steven D. Colan, Dianne Gallagher, Wyman W. Lai, Gail D. Pearson, Ashwin Prakash, Girish Shirali (+1 others)
2013 Echocardiography  
Univariate and multivariable modeling were performed to assess factors associated with quality and ability to obtain images sufficient for pre-specified quantitative analysis.  ...  The great arteries, systemic veins, and pulmonary veins were less likely to be adequately imaged than other cardiac structures.  ...  quality to allow quantitative assessment of ventricular volume and function.  ... 
doi:10.1111/echo.12219 pmid:23614708 pmcid:PMC3732542 fatcat:pyovg6afn5hg7ag5u46wrhoxke

Buy one, get two for free: simultaneous knee T2 mapping and morphological analysis on synthetic images using grappatini

M. Roux, T. Hilbert, J.-B. Ledoux, T. Kober, P. Omoumi
2016 Osteoarthritis and Cartilage  
values through a phantom experiment and (2) the image quality through a quantitative and qualitative assessment for the knee joint in five healthy volunteers.  ...  We suggest using a fast quantitative T2 mapping technique that allows the generation of synthetic images with different TEs, allowing a significant decrease in acquisition time while preserving image quality  ...  values through a phantom experiment and (2) the image quality through a quantitative and qualitative assessment for the knee joint in five healthy volunteers.  ... 
doi:10.1016/j.joca.2016.01.547 fatcat:awuj3cvniza3zmqhbzvgt6ynj4

3D Quantitative Synthetic MRI in the Evaluation of Multiple Sclerosis Lesions

S. Fujita, K. Yokoyama, A. Hagiwara, S. Kato, C. Andica, K. Kamagata, N. Hattori, O. Abe, S. Aoki
2021 American Journal of Neuroradiology  
We assessed the utility of 3D synthetic MR imaging in patients with MS by comparing its diagnostic image quality and lesion volumetry with conventional MR imaging.  ...  Two neuroradiologists independently assessed the image quality on a 5-point Likert scale.  ...  DISCUSSION In this study, we evaluated the image quality and utility of 3D synthetic MR imaging in the assessment of MS lesions in both qualitative and quantitative approaches.  ... 
doi:10.3174/ajnr.a6930 pmid:33414234 pmcid:PMC7959431 fatcat:lhsb6ltmxnfhvkgxrs3jxi6mk4

Quantitative Image Quality Comparison of Reduced- and Standard-Dose Dual-Energy Multiphase Chest, Abdomen, and Pelvis CT

2017 Tomography  
similarity coefficient (DSC), Hounsfield unit (HU) We present a new image quality assessment method for determining whether reducing radiation dose impairs the image quality of computed tomography (CT  ...  Key Words: image quality assessment, segmentation, volumetric quantification, texture, intensitybased quantification, quantitative analysis, image analysis Abbreviations: Computed tomography (CT), body  ...  Most recent studies on image quality assessment of reduced-dose CT scans have reported qualitative findings rather than quantitative, or they have focused on image noise and/or spatial resolution as sole  ... 
doi:10.18383/j.tom.2017.00002 pmid:28856247 pmcid:PMC5573232 fatcat:rezi3lmnbrfephxb4rrfgzrbuq

A Method for the Evaluation of Image Quality According to the Recognition Effectiveness of Objects in the Optical Remote Sensing Image Using Machine Learning Algorithm

Tao Yuan, Xinqi Zheng, Xuan Hu, Wei Zhou, Wei Wang, Denis G. Pelli
2014 PLoS ONE  
, and quantitatively assessing quality of ORSI according to the difference, this method provides a new approach for objective ORSI assessment.  ...  Objective and effective image quality assessment (IQA) is directly related to the application of optical remote sensing images (ORSI).  ...  Based on current study results, the quantitative assessment indexes of image quality reflect some aspects of the ORSI quality under certain conditions.  ... 
doi:10.1371/journal.pone.0086528 pmid:24489739 pmcid:PMC3904880 fatcat:aqvxhuoaa5ambk3ym6wzpcczci

Treatment assessment of radiotherapy using MR functional quantitative imaging

Zheng Chang
2015 World Journal of Radiology  
However, various aspects including data reproducibility, interpretation of biomarkers, image quality and data analysis impose challenges on applications of MR functional quantitative imaging in radiotherapy  ...  Treatment assessment of radiotherapy using MR functional quantitative imaging. World J Radiol 2015; 7(1): 1-6 Available from: URL  ...  Image quality improvement For the radiotherapy assessment purpose, it is important to recognize that image quality of MR functional quantitative imaging may potentially affect the quantitative assessment  ... 
doi:10.4329/wjr.v7.i1.1 pmid:25628799 pmcid:PMC4295173 fatcat:gnjjawiw2nc37dgxcyuu2ludze

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

Peng Zhou, Chunling Zhang, Zhen Gao, Wangshu Cai, Deyue Yan, Zhaolong Wei
2018 Open Life Sciences  
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.  ...  Results In 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  ...  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.  ... 
doi:10.1515/biol-2018-0021 pmid:33817081 pmcid:PMC7874696 fatcat:xnuyu4f73jervpplazq7alphqa

NO-REFERENCE QUANTITATIVE ASSESSMENT OF GENERALIZED CONTRAST FOR COMPLEX IMAGES

E. S. Yelmanova, Y. M. Romanyshyn
2017 Radìoelektronika, Ìnformatika, Upravlìnnâ  
No-reference quantitative assessment of image quality is one of the most pressing and difficult problems of image processing.  ...  Generalized contrast is the most important quantitative characteristic which determines the objective quality of the image.  ...  ACKNOWLEDGEMENTS The work was carried out within the framework of the project of Special design office of television systems (Lviv, Ukraine) "On-board system of enhanced vision for transport vehicles"  ... 
doi:10.15588/1607-3274-2017-3-17 fatcat:4zgcwo2enfea5ag6ie5ib3phwm

HISTOGRAM-BASED METHOD FOR NO-REFERENCE MEASUREMENT OF GENERALIZED CONTRAST OF COMPLEX IMAGES

Yuriy Romanyshyn, Elena Yelmanova
2016 Information and Telecommunication Sciences  
No-reference quantitative assessment of image quality is one of the most pressing and difficult problems of image processing.  ...  Generalized contrast is the most important quantitative characteristic which determines the objective quality of the image.  ...  Particular qualities based on its statistical, structural and texture properties of the reference image are employed for RR quality assessment of the distorted images.  ... 
doi:10.20535/2411-2976.22016.35-45 fatcat:fsqyf55difgwnn2qykjwih2qgy

Deep Learning Enables 60% Accelerated Volumetric Brain MRI While Preserving Quantitative Performance: A Prospective, Multicenter, Multireader Trial

S. Bash, L. Wang, C. Airriess, G. Zaharchuk, E. Gong, A. Shankaranarayanan, L.N. Tanenbaum
2021 American Journal of Neuroradiology  
In this prospective, multicenter, multireader study, we evaluated the impact on both image quality and quantitative image-analysis consistency of 60% accelerated volumetric MR imaging sequences processed  ...  Concordance of standard of care and accelerated-deep learning biomarker measurements were assessed.  ...  assess the overall diagnostic quality of the 3D T1weighted images before postprocessing with NeuroQuant and again after postprocessing with NeuroQuant, with the goal of visually assessing the quality  ... 
doi:10.3174/ajnr.a7358 pmid:34824098 pmcid:PMC8805755 fatcat:m7bnlq67z5c2vgahnl25klp3cy

STANDARDIZING QUALITY ASSESSMENT OF FUSED REMOTELY SENSED IMAGES

C. Pohl, J. Moellmann, K. Fries
2017 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Second the process of visual quality assessment was structured and standardized with the aim to provide an evaluation protocol.  ...  Quantitatively by visual interpretation and 2. Quantitatively using image quality indices.  ...  ACKNOWLEDGEMENTS The data in the two studies was provided by Planet Labs Germany GmbH as part of the RESA areas for research and Scene Sharp Technologies Inc. for research on image fusion quality.  ... 
doi:10.5194/isprs-archives-xlii-2-w7-863-2017 fatcat:fm7ablsytzelvfovxttfuogqx4

The assessment of castings quality using selected quantitative methods

Lenka Kuchariková, Eva Tillová, Denisa Závodská
2016 Production Engineering Archives  
Key wordsaluminium castings, image analyser software, quantitative analysis, structural parameters of aluminium cast alloys  ...  This work deals with possibilities of quick and correct assessment of aluminium castings microstructure, especially focused on volume, size and shape of structural parameterseutectic Si and intermetallic  ...  Summary and conclusions The quantitative assessment by using image analyser software NIS Elements was used for study the size, volume and morphology (shape) of structural parameters (Si particles, Fe-rich  ... 
doi:10.30657/pea.2016.13.02 fatcat:ellsbneerzc4vcsxa5mlfl6wtm

COMPUTER TOMOGRAPHY IMAGES QUALITY ASSESSMENT

V. V. Kerneshel, O. B. Ivanets, O. V. Melnykov
2020 Electronics and Control Systems  
Quantitative and subjective measures are used to evaluate the quality of digital images.  ...  A comprehensive evaluation of the quality of tomographic images is proposed, based on the combination of the two above metrics, which will allow to better evaluate the quality of the tomographic image  ...  It also shows that image structural information plays an important role in image quality assessment methods [11] .  ... 
doi:10.18372/1990-5548.63.14495 fatcat:cvbt4x3vwjgl7hbilskhesdjcq
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