Performance evaluation of computed tomography systems: summary of AAPM Task Group 233

E Samei, D Bakalyar, KL Boedeker, S Brady… - Medical …, 2019 - Wiley Online Library
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 …

Image quality assessment of abdominal CT by use of new deep learning image reconstruction: initial experience

CT Jensen, X Liu, EP Tamm… - American Journal of …, 2020 - Am Roentgen Ray Soc
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 …

Noise and spatial resolution properties of a commercially available deep learning‐based CT reconstruction algorithm

J Solomon, P Lyu, D Marin, E Samei - Medical physics, 2020 - Wiley Online Library
Purpose To characterize the noise and spatial resolution properties of a commercially
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

E Samei, S Richard - Medical physics, 2015 - Wiley Online Library
Purpose: Different computed tomography (CT) reconstruction techniques offer different
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

B Kim, M Han, H Shim, J Baek - Medical physics, 2019 - Wiley Online Library
Purpose Convolutional neural network (CNN)‐based image denoising techniques have
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

JR Rajagopal, F Farhadi, J Solomon, P Sahbaee… - Academic radiology, 2021 - Elsevier
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 …

Detection of colorectal hepatic metastases is superior at standard radiation dose CT versus reduced dose CT

CT Jensen, NA Wagner-Bartak, LN Vu, X Liu, B Raval… - Radiology, 2019 - pubs.rsna.org
Purpose To evaluate colorectal cancer hepatic metastasis detection and characterization
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

J Solomon, J Wilson, E Samei - Medical physics, 2015 - Wiley Online Library
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 …

Quantitative features of liver lesions, lung nodules, and renal stones at multi–detector row CT examinations: dependency on radiation dose and reconstruction …

J Solomon, A Mileto, RC Nelson, K Roy Choudhury… - Radiology, 2016 - pubs.rsna.org
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 …

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 …