Performance evaluation of computed tomography systems: summary of AAPM Task Group 233
Background The rapid development and complexity of new x‐ray computed tomography
(CT) technologies and the need for evidence‐based optimization of image quality with …
(CT) technologies and the need for evidence‐based optimization of image quality with …
Virtual clinical trials in medical imaging: a review
The accelerating complexity and variety of medical imaging devices and methods have
outpaced the ability to evaluate and optimize their design and clinical use. This is a …
outpaced the ability to evaluate and optimize their design and clinical use. This is a …
Image quality and dose reduction opportunity of deep learning image reconstruction algorithm for CT: a phantom study
J Greffier, A Hamard, F Pereira, C Barrau, H Pasquier… - European …, 2020 - Springer
Objectives To assess the impact on image quality and dose reduction of a new deep
learning image reconstruction (DLIR) algorithm compared with a hybrid iterative …
learning image reconstruction (DLIR) algorithm compared with a hybrid iterative …
CT iterative reconstruction algorithms: a task-based image quality assessment
Purpose To assess the dose performance in terms of image quality of filtered back projection
(FBP) and two generations of iterative reconstruction (IR) algorithms developed by the most …
(FBP) and two generations of iterative reconstruction (IR) algorithms developed by the most …
Assessment of the dose reduction potential of a model‐based iterative reconstruction algorithm using a task‐based performance metrology
Purpose: Different computed tomography (CT) reconstruction techniques offer different
image quality attributes of resolution and noise, challenging the ability to compare their dose …
image quality attributes of resolution and noise, challenging the ability to compare their dose …
Assessing the impact of deep neural network-based image denoising on binary signal detection tasks
A variety of deep neural network (DNN)-based image denoising methods have been
proposed for use with medical images. Traditional measures of image quality (IQ) have been …
proposed for use with medical images. Traditional measures of image quality (IQ) have been …
Low-dose abdominal CT using a deep learning-based denoising algorithm: a comparison with CT reconstructed with filtered back projection or iterative reconstruction …
Objective To compare the image quality of low-dose (LD) computed tomography (CT)
obtained using a deep learning-based denoising algorithm (DLA) with LD CT images …
obtained using a deep learning-based denoising algorithm (DLA) with LD CT images …
Assessment of volumetric noise and resolution performance for linear and nonlinear CT reconstruction methods
Purpose: For nonlinear iterative image reconstructions (IR), the computed tomography (CT)
noise and resolution properties can depend on the specific imaging conditions, such as …
noise and resolution properties can depend on the specific imaging conditions, such as …
Characteristic image quality of a third generation dual‐source MDCT scanner: noise, resolution, and detectability
Purpose: The purpose of this work was to assess the inherent image quality characteristics
of a new multidetector computed tomography system in terms of noise, resolution, and …
of a new multidetector computed tomography system in terms of noise, resolution, and …
Radiation dose reduction for 80-kVp pediatric CT using deep learning–based reconstruction: a clinical and phantom study
Y Nagayama, M Goto, D Sakabe… - American Journal of …, 2022 - Am Roentgen Ray Soc
Please see the Editorial Comment by Aaron D. Hodes discussing this article.
BACKGROUND. Deep learning–based reconstruction (DLR) may facilitate CT radiation …
BACKGROUND. Deep learning–based reconstruction (DLR) may facilitate CT radiation …