Detection of lung nodules in micro-CT imaging using deep learning
We are developing imaging methods for a co-clinical trial investigating synergy between
immunotherapy and radiotherapy. We perform longitudinal micro-computed tomography …
immunotherapy and radiotherapy. We perform longitudinal micro-computed tomography …
3D task‐transfer function representation of the signal transfer properties of low‐contrast lesions in FBP‐and iterative‐reconstructed CT
Purpose The purpose of this study was to investigate how accurately the task‐transfer
function (TTF) models the signal transfer properties of low‐contrast features in a non‐linear …
function (TTF) models the signal transfer properties of low‐contrast features in a non‐linear …
Survey of chest radiography systems: Any link between contrast detail measurements and visual grading analysis?
SR Pérez, NW Marshall, J Binst, J Coolen, L Struelens… - Physica Medica, 2020 - Elsevier
Purpose To evaluate image quality of chest radiography for a number of systems in Belgium,
using a contrast-detail (cd) test object and Visual Grading Analysis (VGA) of an …
using a contrast-detail (cd) test object and Visual Grading Analysis (VGA) of an …
Quantification of minimum detectable difference in radiomics features across lesions and CT imaging conditions
Rationale and Objectives The 3-fold purpose of this study was to (1) develop a method to
relate measured differences in radiomics features in different computed tomography (CT) …
relate measured differences in radiomics features in different computed tomography (CT) …
Evaluation of simulated lesions as surrogates to clinical lesions for thoracic CT volumetry: the results of an international challenge
M Robins, J Kalpathy-Cramer, NA Obuchowski… - Academic radiology, 2019 - Elsevier
Rationale and Objectives To evaluate a new approach to establish compliance of
segmentation tools with the computed tomography volumetry profile of the Quantitative …
segmentation tools with the computed tomography volumetry profile of the Quantitative …
[Retracted] Computed Tomography‐(CT‐) Based Virtual Surgery Planning for Spinal Intervertebral Foraminal Assisted Clinical Treatment
H Li, S Wang, J Tang, J Wu, Y Liu - Journal of Healthcare …, 2021 - Wiley Online Library
With the development of minimally invasive spine concepts and the introduction of new
minimally invasive instruments, minimally invasive spine technology, represented by …
minimally invasive instruments, minimally invasive spine technology, represented by …
Validation of lesion simulations in clinical CT data for anonymized chest and abdominal CT databases
Purpose To make available to the medical imaging community a computed tomography (CT)
image database composed of hybrid datasets (patient CT images with digitally inserted …
image database composed of hybrid datasets (patient CT images with digitally inserted …
System development and preclinical applications of photon counting micro-CT
MD Holbrook - 2021 - search.proquest.com
X-ray computed tomography (CT) is a powerful multi-dimensional (3D+ time or energy)
imaging modality lauded for its high temporal and spatial resolution. There have been …
imaging modality lauded for its high temporal and spatial resolution. There have been …
Modified Gaussian models for pulmonary nodule simulation in chest tomosynthesis
Q Mao, S Zhao, Q Zheng, S Su, L Li… - Journal of Medical …, 2018 - ingentaconnect.com
Background: Computer-assisted diagnosis (CAD) is an effective approach to improve the
relative survival of cancer patients, and lung nodule simulation is suitable for pulmonary …
relative survival of cancer patients, and lung nodule simulation is suitable for pulmonary …
CT-based quantification
Image quantification is the extraction of quantitative measures from patient images and the
relation of the quantitative measures to patient outcomes. For an image quantification to be …
relation of the quantitative measures to patient outcomes. For an image quantification to be …