Evaluation of the effect of image noise on CT perfusion measurements using digital perfusion phantoms
Sign Up to like & getrecommendations! Published in 2018 at "European Radiology"
DOI: 10.1007/s00330-018-5709-3
Abstract: ObjectivesTo assess the influence of image noise on computed tomography (CT) perfusion studies, CT perfusion software algorithms were evaluated for susceptibility to image noise and results applied to clinical perfusion studies.MethodsDigital perfusion phantoms were generated… read more here.
Keywords: perfusion phantoms; perfusion measurements; image noise; perfusion ... See more keywords
Adaptive PCA transforms with geometric morphological grouping for image noise removal
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-5676-3
Abstract: This paper presents a novel approach of image noise removal via integrating geometric morphological patch grouping and adaptive principal component analysis (PCA) transform domain choosing. Image noise removal based on PCA has acquired much attention… read more here.
Keywords: pca; noise removal; noise; image noise ... See more keywords
The next step in standardizing SPECT myocardial perfusion imaging
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Nuclear Cardiology"
DOI: 10.1007/s12350-019-01716-w
Abstract: Myocardial perfusion imaging (MPI) using singlephoton emission computed tomography (SPECT) is a noninvasive test to diagnose coronary artery disease, stratify risk, predict outcomes, to guide patient management, and to reduce overall costs. SPECT MPI is… read more here.
Keywords: image; image noise; cardiology; noise ... See more keywords
Fat volume measurements as a predictor of image noise in coronary computed tomography angiography☆
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the Saudi Heart Association"
DOI: 10.1016/j.jsha.2018.11.001
Abstract: Introduction Image noise can negatively affect the overall quality of coronary computed tomography angiography (CCTA). Objectives The purpose of this study was to evaluate the relationship between image noise and fat volumes in the chest… read more here.
Keywords: fat volume; coronary computed; image; image noise ... See more keywords
A spatially cohesive superpixel model for image noise level estimation
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.05.057
Abstract: Abstract Estimating image noise levels is a critical task for many image processing applications, where the detection of homogeneous regions always plays a key role. Most conventional methods empirically divide the images into rectangular blocks… read more here.
Keywords: image; spatially cohesive; image noise; superpixel model ... See more keywords
Improving image quality and resolution of coronary arteries in coronary computed tomography angiography by using high-definition scans and deep learning image reconstruction
Sign Up to like & getrecommendations! Published in 2023 at "Quantitative Imaging in Medicine and Surgery"
DOI: 10.21037/qims-22-186
Abstract: Background Coronary computed tomography angiography (CTA) has been increasingly used to identify the degree of coronary artery stenosis and plaque lesions in vessels. This study evaluated the feasibility of using high-definition (HD) scanning with high-level… read more here.
Keywords: image quality; image noise; asir v50; reconstruction ... See more keywords
The value of using a deep learning image reconstruction algorithm of thinner slice thickness to balance the image noise and spatial resolution in low-dose abdominal CT
Sign Up to like & getrecommendations! Published in 2022 at "Quantitative Imaging in Medicine and Surgery"
DOI: 10.21037/qims-22-353
Abstract: Background Traditional reconstruction techniques have certain limitations in balancing image quality and reducing radiation dose. The deep learning image reconstruction (DLIR) algorithm opens the door to a new era of medical image reconstruction. The purpose… read more here.
Keywords: spatial resolution; image noise; asir v40; resolution ... See more keywords