Technical Note: Phantom-based training framework for convolutional neural network CT noise reduction.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.16093
Abstract: BACKGROUND Deep artificial neural networks such as convolutional neural networks (CNNs) have been shown to be effective models for reducing noise in CT images while preserving anatomic details. A practical bottleneck for developing CNN-based denoising… read more here.
Keywords: based training; training framework; noise; phantom based ... See more keywords
Field camera versus phantom-based measurement of the gradient system transfer function (GSTF) with dwell time compensation.
Sign Up to like & getrecommendations! Published in 2020 at "Magnetic resonance imaging"
DOI: 10.1016/j.mri.2020.06.005
Abstract: PURPOSE The gradient system transfer function (GSTF) can be used to describe the dynamic gradient system and applied for trajectory correction in non-Cartesian MRI. This study compares the field camera and the phantom-based methods to… read more here.
Keywords: gstf; phantom; field camera; dwell time ... See more keywords
Quantitative Feasibility Evaluation of 11C-Methionine Positron Emission Tomography Images in Gamma Knife Radiosurgery : Phantom-Based Study and Clinical Application
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Korean Neurosurgical Society"
DOI: 10.3340/jkns.2019.0104
Abstract: Objective The functional information of 11C-methionine positron emission tomography (MET-PET) images can be applied for Gamma knife radiosurgery (GKR) and its image quality may affect defining the tumor. This study conducted the phantom-based evaluation for… read more here.
Keywords: image; study; phantom based; met pet ... See more keywords