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 …
Image quality assessment of abdominal CT by use of new deep learning image reconstruction: initial experience
OBJECTIVE. The purpose of this study was to perform quantitative and qualitative evaluation
of a deep learning image reconstruction (DLIR) algorithm in contrast-enhanced oncologic …
of a deep learning image reconstruction (DLIR) algorithm in contrast-enhanced oncologic …
Noise and spatial resolution properties of a commercially available deep learning‐based CT reconstruction algorithm
Purpose To characterize the noise and spatial resolution properties of a commercially
available deep learning‐based computed tomography (CT) reconstruction algorithm …
available deep learning‐based computed tomography (CT) reconstruction algorithm …
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 …
A performance comparison of convolutional neural network‐based image denoising methods: The effect of loss functions on low‐dose CT images
Purpose Convolutional neural network (CNN)‐based image denoising techniques have
shown promising results in low‐dose CT denoising. However, CNN often introduces blurring …
shown promising results in low‐dose CT denoising. However, CNN often introduces blurring …
Comparison of low dose performance of photon-counting and energy integrating CT
Rationale and Objectives The purpose of this study was to investigate the potential of photon-
counting CT (PCCT) to improve quantitative image quality for low dose imaging compared to …
counting CT (PCCT) to improve quantitative image quality for low dose imaging compared to …
Detection of colorectal hepatic metastases is superior at standard radiation dose CT versus reduced dose CT
Purpose To evaluate colorectal cancer hepatic metastasis detection and characterization
between reduced radiation dose (RD) and standard dose (SD) contrast material–enhanced …
between reduced radiation dose (RD) and standard dose (SD) contrast material–enhanced …
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 …
Quantitative features of liver lesions, lung nodules, and renal stones at multi–detector row CT examinations: dependency on radiation dose and reconstruction …
Purpose To determine if radiation dose and reconstruction algorithm affect the computer-
based extraction and analysis of quantitative imaging features in lung nodules, liver lesions …
based extraction and analysis of quantitative imaging features in lung nodules, liver lesions …
Is it possible to use low-dose deep learning reconstruction for the detection of liver metastases on CT routinely?
P Lyu, N Liu, B Harrawood, J Solomon, H Wang… - European …, 2023 - Springer
Objectives To compare the image quality and hepatic metastasis detection of low-dose deep
learning image reconstruction (DLIR) with full-dose filtered back projection (FBP)/iterative …
learning image reconstruction (DLIR) with full-dose filtered back projection (FBP)/iterative …