A review of substitute CT generation for MRI-only radiation therapy
Radiotherapy based on magnetic resonance imaging as the sole modality (MRI-only RT) is
an area of growing scientific interest due to the increasing use of MRI for both target and …
an area of growing scientific interest due to the increasing use of MRI for both target and …
Artificial intelligence for MR image reconstruction: an overview for clinicians
DJ Lin, PM Johnson, F Knoll… - Journal of Magnetic …, 2021 - Wiley Online Library
Artificial intelligence (AI) shows tremendous promise in the field of medical imaging, with
recent breakthroughs applying deep‐learning models for data acquisition, classification …
recent breakthroughs applying deep‐learning models for data acquisition, classification …
Deep learning MR imaging–based attenuation correction for PET/MR imaging
Purpose To develop and evaluate the feasibility of deep learning approaches for magnetic
resonance (MR) imaging–based attenuation correction (AC)(termed deep MRAC) in brain …
resonance (MR) imaging–based attenuation correction (AC)(termed deep MRAC) in brain …
[HTML][HTML] A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients
Aim To accurately quantify the radioactivity concentration measured by PET, emission data
need to be corrected for photon attenuation; however, the MRI signal cannot easily be …
need to be corrected for photon attenuation; however, the MRI signal cannot easily be …
Zero-echo-time and Dixon deep pseudo-CT (ZeDD CT): direct generation of pseudo-CT images for pelvic PET/MRI attenuation correction using deep convolutional …
Accurate quantification of uptake on PET images depends on accurate attenuation
correction in reconstruction. Current MR-based attenuation correction methods for body PET …
correction in reconstruction. Current MR-based attenuation correction methods for body PET …
A review of deep-learning-based approaches for attenuation correction in positron emission tomography
JS Lee - IEEE Transactions on Radiation and Plasma Medical …, 2020 - ieeexplore.ieee.org
Attenuation correction (AC) is essential for the generation of artifact-free and quantitatively
accurate positron emission tomography (PET) images. PET AC based on computed …
accurate positron emission tomography (PET) images. PET AC based on computed …
Generation of PET attenuation map for whole-body time-of-flight 18F-FDG PET/MRI using a deep neural network trained with simultaneously reconstructed activity and …
We propose a new deep learning–based approach to provide more accurate whole-body
PET/MRI attenuation correction than is possible with the Dixon-based 4-segment method …
PET/MRI attenuation correction than is possible with the Dixon-based 4-segment method …
Machine learning in PET: from photon detection to quantitative image reconstruction
Machine learning has found unique applications in nuclear medicine from photon detection
to quantitative image reconstruction. Although there have been impressive strides in …
to quantitative image reconstruction. Although there have been impressive strides in …
Evaluation of a deep learning-based pelvic synthetic CT generation technique for MRI-based prostate proton treatment planning
The purpose of this work is to validate the application of a deep learning-based method for
pelvic synthetic CT (sCT) generation that can be used for prostate proton beam therapy …
pelvic synthetic CT (sCT) generation that can be used for prostate proton beam therapy …
Deep learning based attenuation correction of PET/MRI in pediatric brain tumor patients: evaluation in a clinical setting
CN Ladefoged, L Marner, A Hindsholm, I Law… - Frontiers in …, 2019 - frontiersin.org
Aim: Positron emission tomography (PET) imaging is a useful tool for assisting in correct
differentiation of tumor progression from reactive changes. O-(2-18F-fluoroethyl)-L-tyrosine …
differentiation of tumor progression from reactive changes. O-(2-18F-fluoroethyl)-L-tyrosine …