To assess the diagnostic accuracy, image quality, and radiation dose of an iterative reconstruction algorithm compared with a filtered back projection (FBP) algorithm for abdominal computed tomography (CT) at different tube voltages
AbstractPurposeTo evaluate the potential of iterative reconstruction for reducing the dose given to ...
Background: A new tube voltage-switching dual-energy (DE) CT system using a novel deep-learning base...
OBJECTIVES: The aim of the study was to find the lowest possible tube current and the optimal iterat...
OBJECTIVES In this phantom CT study, we investigated whether images reconstructed using filtered ...
To investigate whether an adaptive statistical iterative reconstruction (ASIR) algorithm improves th...
This work aims to explore the effects of adaptive statistical iterative reconstruction (ASiR) and mo...
PURPOSE To assess image quality and patient dose obtained in multi slice CT studies by means of a st...
The purpose of this work is to evaluate the potential dose reduction in computed tomography (CT) exa...
Purpose To estimate potential dose reduction in abdominal CT by visually comparing images reconstruc...
OBJECTIVE: This work aims to explore the effects of adaptive statistical iterative reconstruction (A...
Objectives: To compare image quality on computed tomographic (CT) images acquired with different lev...
AIM: To determine qualitative and quantitative image-quality parameters in abdominal imaging using a...
The number of CT examinations giving a relatively high patient exposure is increasing. It is therefo...
Purpose: To determine the effect of tube load, model-based iterative reconstruction (MBIR) strength ...
Background: For almost three decades, computed tomography (CT) has been extensively used in medical ...
AbstractPurposeTo evaluate the potential of iterative reconstruction for reducing the dose given to ...
Background: A new tube voltage-switching dual-energy (DE) CT system using a novel deep-learning base...
OBJECTIVES: The aim of the study was to find the lowest possible tube current and the optimal iterat...
OBJECTIVES In this phantom CT study, we investigated whether images reconstructed using filtered ...
To investigate whether an adaptive statistical iterative reconstruction (ASIR) algorithm improves th...
This work aims to explore the effects of adaptive statistical iterative reconstruction (ASiR) and mo...
PURPOSE To assess image quality and patient dose obtained in multi slice CT studies by means of a st...
The purpose of this work is to evaluate the potential dose reduction in computed tomography (CT) exa...
Purpose To estimate potential dose reduction in abdominal CT by visually comparing images reconstruc...
OBJECTIVE: This work aims to explore the effects of adaptive statistical iterative reconstruction (A...
Objectives: To compare image quality on computed tomographic (CT) images acquired with different lev...
AIM: To determine qualitative and quantitative image-quality parameters in abdominal imaging using a...
The number of CT examinations giving a relatively high patient exposure is increasing. It is therefo...
Purpose: To determine the effect of tube load, model-based iterative reconstruction (MBIR) strength ...
Background: For almost three decades, computed tomography (CT) has been extensively used in medical ...
AbstractPurposeTo evaluate the potential of iterative reconstruction for reducing the dose given to ...
Background: A new tube voltage-switching dual-energy (DE) CT system using a novel deep-learning base...
OBJECTIVES: The aim of the study was to find the lowest possible tube current and the optimal iterat...