Results 21 to 30 of about 462,780 (278)

TCGAN: a transformer-enhanced GAN for PET synthetic CT

open access: yesBiomedical Optics Express, 2022
Multimodal medical images can be used in a multifaceted approach to resolve a wide range of medical diagnostic problems. However, these images are generally difficult to obtain due to various limitations, such as cost of capture and patient safety. Medical image synthesis is used in various tasks to obtain better results.
Jitao Li   +5 more
openaire   +2 more sources

Effectiveness of plyometric training vs. complex training on the explosive power of lower limbs: A Systematic review

open access: yesFrontiers in Physiology, 2023
Introduction: Explosive power is considered an important factor in competitive events. Thus, strategies such as complex training (CT) and plyometric training (PLT) are effective at improving explosive power.
Xiaolin Wang   +4 more
doaj   +1 more source

Abdominal synthetic CT generation from MR Dixon images using a U-net trained with ‘semi-synthetic’ CT data

open access: yesPhysics in Medicine & Biology, 2020
Magnetic resonance imaging (MRI) is gaining popularity in guiding radiation treatment for intrahepatic cancers due to its superior soft tissue contrast and potential of monitoring individual motion and liver function. This study investigates a deep learning-based method that generates synthetic CT volumes from T1-weighted MR Dixon images in support of ...
Lianli Liu   +5 more
openaire   +3 more sources

MR Imaging of the Pelvic Bones: The Current and Cutting-Edge Techniques

open access: yesJournal of the Belgian Society of Radiology, 2022
This review presents an overview of the spectrum of the current and cutting-edge MRI techniques for pelvic bone imaging in clinical practice. The current MRI sequences and their advantages, disadvantages and usefullness in the imaging of this complex ...
Lieve Morbée   +5 more
doaj   +1 more source

Design of a realistic PET-CT-MRI phantom [PDF]

open access: yes, 2011
The validation of the PET image quality of new PET-MRI systems should be done against the image quality of currently available PET-CT systems. This includes the validation of new attenuation correction methods.
Espana Palomares, Samuel   +4 more
core   +1 more source

Pseudo-Computed Tomography generation from Noisy Magnetic Resonance ‎Imaging with Deep Learning Algorithm ‎

open access: yesFrontiers in Biomedical Technologies, 2023
Background: Magnetic Resonance Imaging (MRI) applications offer superior soft tissue contrast compared with computed tomography (CT) for accurate radiotherapy planning.
Niloofar‎ Yousefi Moteghaed‎   +2 more
doaj   +1 more source

Multifractal analysis of discretized X-ray CT images for the characterization of soil macropore structures [PDF]

open access: yes, 2010
A correct statistical model of soil pore structure can be critical for understanding flow and transport processes in soils, and creating synthetic soil pore spaces for hypothetical and model testing, and evaluating similarity of pore spaces of different ...
Caniego Monreal, Francisco   +6 more
core   +3 more sources

Generating Synthetic Computed Tomography and Synthetic Magnetic Resonance (sMR: sT1w/sT2w) Images of the Brain Using Atlas-Based Method [PDF]

open access: yesIranian Journal of Medical Physics, 2019
Introduction: Nowadays, magnetic resonance imaging (MRI) in combination with computed-tomography (CT) is increasingly being used in radiation therapy planning.
Fariba Farhadi Birgani   +3 more
doaj   +1 more source

Deep learning based synthetic CT from cone beam CT generation for abdominal paediatric radiotherapy

open access: yesPhysics in Medicine & Biology, 2023
Abstract Objective. Adaptive radiotherapy workflows require images with the quality of computed tomography (CT) for re-calculation and re-optimisation of radiation doses. In this work we aim to improve the quality of on-board cone beam CT (CBCT) images for dose calculation using deep learning. Approach.
Szmul, Adam   +10 more
openaire   +3 more sources

Analysis of dose using CBCT and synthetic CT during head and neck radiotherapy: A single centre feasibility study

open access: yesTechnical Innovations & Patient Support in Radiation Oncology, 2020
Objectives: The study aimed to assess the suitability of deformable image registration (DIR) software to generate synthetic CT (sCT) scans for dose verification during radiotherapy to the head and neck.
Lisa K Hay   +11 more
doaj   +1 more source

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