CT radiation dose and iterative reconstruction techniques
A Padole, RD Ali Khawaja… - American journal of …, 2015 - Am Roentgen Ray Soc
Key Points 1. CT radiation dose optimization is one of the major concerns for the scientific
community. 2. CT image quality is dependent on the selected image reconstruction …
community. 2. CT image quality is dependent on the selected image reconstruction …
Improving image quality and reducing radiation dose for pediatric CT by using deep learning reconstruction
Background CT deep learning reconstruction (DLR) algorithms have been developed to
remove image noise. How the DLR affects image quality and radiation dose reduction has …
remove image noise. How the DLR affects image quality and radiation dose reduction has …
Iterative reconstruction techniques in abdominopelvic CT: technical concepts and clinical implementation
OBJECTIVE. This article discusses the clinical challenge of low-radiation-dose
examinations, the commonly used approaches for dose optimization, and their effect on …
examinations, the commonly used approaches for dose optimization, and their effect on …
[图书][B] Caffey's Pediatric Diagnostic Imaging E-Book: Caffey's Pediatric Diagnostic Imaging E-Book
BD Coley - 2018 - books.google.com
For more than 70 years, Caffey's Pediatric Diagnostic Imaging has been the comprehensive,
go-to reference that radiologists have relied upon for dependable coverage of all aspects of …
go-to reference that radiologists have relied upon for dependable coverage of all aspects of …
Statistical model based iterative reconstruction (MBIR) in clinical CT systems: experimental assessment of noise performance
Purpose: To reduce radiation dose in CT imaging, the statistical model based iterative
reconstruction (MBIR) method has been introduced for clinical use. Based on the principle of …
reconstruction (MBIR) method has been introduced for clinical use. Based on the principle of …
Image quality in liver CT: low-dose deep learning vs standard-dose model-based iterative reconstructions
Objectives To compare the overall image quality and detectability of significant (malignant
and pre-malignant) liver lesions of low-dose liver CT (LDCT, 33.3% dose) using deep …
and pre-malignant) liver lesions of low-dose liver CT (LDCT, 33.3% dose) using deep …
Deep learning image reconstruction for pancreatic low-dose computed tomography: comparison with hybrid iterative reconstruction
Y Noda, Y Iritani, N Kawai, T Miyoshi, T Ishihara… - Abdominal …, 2021 - Springer
Purpose To evaluate image quality, image noise, and conspicuity of pancreatic ductal
adenocarcinoma (PDAC) in pancreatic low-dose computed tomography (LDCT) …
adenocarcinoma (PDAC) in pancreatic low-dose computed tomography (LDCT) …
Preserving image texture while reducing radiation dose with a deep learning image reconstruction algorithm in chest CT: a phantom study
Purpose To assess whether a deep learning image reconstruction algorithm (TrueFidelity)
can preserve the image texture of conventional filtered back projection (FBP) at reduced …
can preserve the image texture of conventional filtered back projection (FBP) at reduced …
Statistical model based iterative reconstruction (MBIR) in clinical CT systems. Part II. Experimental assessment of spatial resolution performance
Purpose: Statistical model based iterative reconstruction (MBIR) methods have been
introduced to clinical CT systems and are being used in some clinical diagnostic …
introduced to clinical CT systems and are being used in some clinical diagnostic …
Extraction of coronary atherosclerotic plaques from computed tomography imaging: a review of recent methods
Background: Atherosclerotic plaques are the major cause of coronary artery disease (CAD).
Currently, computed tomography (CT) is the most commonly applied imaging technique in …
Currently, computed tomography (CT) is the most commonly applied imaging technique in …