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 …
Task-based measures of image quality and their relation to radiation dose and patient risk
The theory of task-based assessment of image quality is reviewed in the context of imaging
with ionizing radiation, and objective figures of merit (FOMs) for image quality are …
with ionizing radiation, and objective figures of merit (FOMs) for image quality are …
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 …
Towards task‐based assessment of CT performance: system and object MTF across different reconstruction algorithms
Purpose: To investigate a measurement method for evaluating the resolution properties of
CT imaging systems across reconstruction algorithms, dose, and contrast. Methods: An …
CT imaging systems across reconstruction algorithms, dose, and contrast. Methods: An …
Achieving routine submillisievert CT scanning: report from the summit on management of radiation dose in CT
This Special Report presents the consensus of the Summit on Management of Radiation
Dose in Computed Tomography (CT)(held in February 2011), which brought together …
Dose in Computed Tomography (CT)(held in February 2011), which brought together …
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 …
Diagnostic performance of an advanced modeled iterative reconstruction algorithm for low-contrast detectability with a third-generation dual-source multidetector CT …
Purpose To assess the effect of radiation dose reduction on low-contrast detectability by
using an advanced modeled iterative reconstruction (ADMIRE; Siemens Healthcare …
using an advanced modeled iterative reconstruction (ADMIRE; Siemens Healthcare …
Task‐based assessment of breast tomosynthesis: effect of acquisition parameters and quantum noise a
I Reiser, RM Nishikawa - Medical physics, 2010 - Wiley Online Library
Purpose: Tomosynthesis is a promising modality for breast imaging. The appearance of the
tomosynthesis reconstructed image is greatly affected by the choice of acquisition and …
tomosynthesis reconstructed image is greatly affected by the choice of acquisition and …
Prediction of human observer performance in a 2‐alternative forced choice low‐contrast detection task using channelized Hotelling observer: Impact of radiation dose …
Purpose: Efficient optimization of CT protocols demands a quantitative approach to
predicting human observer performance on specific tasks at various scan and reconstruction …
predicting human observer performance on specific tasks at various scan and reconstruction …
Analysis of Fourier‐domain task‐based detectability index in tomosynthesis and cone‐beam CT in relation to human observer performance
Purpose: Design and optimization of medical imaging systems benefit from accurate
theoretical modeling that identifies the physical factors governing image quality, particularly …
theoretical modeling that identifies the physical factors governing image quality, particularly …