Emerging trends in fast MRI using deep-learning reconstruction on undersampled k-space data: a systematic review
Magnetic Resonance Imaging (MRI) is an essential medical imaging modality that provides
excellent soft-tissue contrast and high-resolution images of the human body, allowing us to …
excellent soft-tissue contrast and high-resolution images of the human body, allowing us to …
A review of PET attenuation correction methods for PET-MR
Despite being thirteen years since the installation of the first PET-MR system, the scanners
constitute a very small proportion of the total hybrid PET systems installed. This is in stark …
constitute a very small proportion of the total hybrid PET systems installed. This is in stark …
Convex optimization algorithms in medical image reconstruction—in the age of AI
The past decade has seen the rapid growth of model based image reconstruction (MBIR)
algorithms, which are often applications or adaptations of convex optimization algorithms …
algorithms, which are often applications or adaptations of convex optimization algorithms …
Joint diffusion: mutual consistency-driven diffusion model for PET-MRI co-reconstruction
Objective. Positron Emission Tomography and Magnetic Resonance Imaging (PET-MRI)
systems can obtain functional and anatomical scans. But PET suffers from a low signal-to …
systems can obtain functional and anatomical scans. But PET suffers from a low signal-to …
Deep learning applications for quantitative and qualitative PET in PET/MR: technical and clinical unmet needs
J Yang, A Afaq, R Sibley, A McMilan… - … Resonance Materials in …, 2024 - Springer
We aim to provide an overview of technical and clinical unmet needs in deep learning (DL)
applications for quantitative and qualitative PET in PET/MR, with a focus on attenuation …
applications for quantitative and qualitative PET in PET/MR, with a focus on attenuation …
Accuracy and longitudinal consistency of PET/MR attenuation correction in amyloid PET imaging amid software and hardware upgrades
ABSTRACT BACKGROUND AND PURPOSE: Integrated PET/MR allows the simultaneous
acquisition of PET biomarkers and structural and functional MRI to study Alzheimer disease …
acquisition of PET biomarkers and structural and functional MRI to study Alzheimer disease …
A study of Bayesian deep network uncertainty and its application to synthetic CT generation for MR‐only radiotherapy treatment planning
Background The use of synthetic computed tomography (CT) for radiotherapy treatment
planning has received considerable attention because of the absence of ionizing radiation …
planning has received considerable attention because of the absence of ionizing radiation …
Physics-driven deep learning for pet/mri
In this paper, we review physics-and data-driven reconstruction techniques for simultaneous
positron emission tomography (PET)/magnetic resonance imaging (MRI) systems, which …
positron emission tomography (PET)/magnetic resonance imaging (MRI) systems, which …
SoftDropConnect (SDC)--Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis
Recently, deep learning has achieved remarkable successes in medical image analysis.
Although deep neural networks generate clinically important predictions, they have inherent …
Although deep neural networks generate clinically important predictions, they have inherent …
Advanced Methods for Photon Attenuation and Scatter Correction for Combined Positron Emission Tomography and Magnetic Resonance Imaging (PET/MRI)
EA Anaya - 2023 - search.proquest.com
Combined positron emission tomography and magnetic resonance (PET/MR) imaging
combines the molecular information from PET with the structural information from MR, which …
combines the molecular information from PET with the structural information from MR, which …