AI applications to medical images: From machine learning to deep learning
Purpose Artificial intelligence (AI) models are playing an increasing role in biomedical
research and healthcare services. This review focuses on challenges points to be clarified …
research and healthcare services. This review focuses on challenges points to be clarified …
Repeatability of multiparametric prostate MRI radiomics features
In this study we assessed the repeatability of radiomics features on small prostate tumors
using test-retest Multiparametric Magnetic Resonance Imaging (mpMRI). The premise of …
using test-retest Multiparametric Magnetic Resonance Imaging (mpMRI). The premise of …
Dynamic contrast-enhanced (DCE) MRI
Dynamic Contrast-Enhanced (DCE) MRI - Magnetic Resonance Imaging Clinics Skip to Main
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[HTML][HTML] Improving measurement of blood-brain barrier permeability with reduced scan time using deep-learning-derived capillary input function
Abstract Purpose In Dynamic contrast-enhanced MRI (DCE-MRI), Arterial Input Function
(AIF) has been shown to be a significant contributor to uncertainty in the estimation of kinetic …
(AIF) has been shown to be a significant contributor to uncertainty in the estimation of kinetic …
Predictive value of quantitative 18F-FDG-PET radiomics analysis in patients with head and neck squamous cell carcinoma
Background Radiomics is aimed at image-based tumor phenotyping, enabling application
within clinical-decision-support-systems to improve diagnostic accuracy and allow for …
within clinical-decision-support-systems to improve diagnostic accuracy and allow for …
Imaging vascular and hemodynamic features of the brain using dynamic susceptibility contrast and dynamic contrast enhanced MRI
In the context of neurologic disorders, dynamic susceptibility contrast (DSC) and dynamic
contrast enhanced (DCE) MRI provide valuable insights into cerebral vascular function …
contrast enhanced (DCE) MRI provide valuable insights into cerebral vascular function …
Effects of arterial input function selection on kinetic parameters in brain dynamic contrast-enhanced MRI
VC Keil, B Mädler, J Gieseke, R Fimmers… - Magnetic resonance …, 2017 - Elsevier
Purpose Kinetic parameters derived from dynamic contrast-enhanced MRI (DCE-MRI) were
suggested as a possible instrument for multi-parametric lesion characterization, but have not …
suggested as a possible instrument for multi-parametric lesion characterization, but have not …
The use of quantitative imaging in radiation oncology: a quantitative imaging network (QIN) perspective
Modern radiation therapy is delivered with great precision, in part by relying on high-
resolution multidimensional anatomic imaging to define targets in space and time. The …
resolution multidimensional anatomic imaging to define targets in space and time. The …
[HTML][HTML] Multiparameter MRI predictors of long-term survival in glioblastoma multiforme
O Stringfield, JA Arrington, SK Johnston… - …, 2019 - pmc.ncbi.nlm.nih.gov
Standard-of-care multiparameter magnetic resonance imaging (MRI) scans of the brain were
used to objectively subdivide glioblastoma multiforme (GBM) tumors into regions that …
used to objectively subdivide glioblastoma multiforme (GBM) tumors into regions that …
DCE-MRI perfusion and permeability parameters as predictors of tumor response to CCRT in patients with locally advanced NSCLC
X Tao, L Wang, Z Hui, L Liu, F Ye, Y Song, Y Tang… - Scientific reports, 2016 - nature.com
In this prospective study, 36 patients with stage III non-small cell lung cancers (NSCLC), who
underwent dynamic contrast-enhanced MRI (DCE-MRI) before concurrent chemo …
underwent dynamic contrast-enhanced MRI (DCE-MRI) before concurrent chemo …