Search Results - "S.K. Fung, George"
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Metal Artifact Reduction Computed Tomography of Arthroplasty Implants: Effects of Combined Modeled Iterative Reconstruction and Dual-Energy Virtual Monoenergetic Extrapolation at Higher Photon Energies
Published in Investigative radiology (01-12-2018)“…OBJECTIVEThe aim of this study was to compare the effects of combined virtual monoenergetic extrapolation (VME) of dual-energy computed tomography data and…”
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A computational fluid dynamic study of stent graft remodeling after endovascular repair of thoracic aortic dissections
Published in Journal of vascular surgery (01-08-2008)“…Objectives Significant stent graft remodeling commonly occurs after endovascular repair of thoracic aortic dissections because of continuing expansion of the…”
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Optimization and evaluation of reconstruction-based compensation methods and reconstruction parameters for Tc-99m MIBI parathyroid SPECT
Published in Physica medica (01-03-2015)“…Abstract The value of Tc-99m MIBI parathyroid SPECT for localizing parathyroid hyperplasia in chronic renal failure patients remains inconclusive due to…”
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On stent-graft models in thoracic aortic endovascular repair: A computational investigation of the hemodynamic factors
Published in Computers in biology and medicine (01-04-2008)“…Abstract In treating thoracic aortic diseases, endovascular repair involves the placement of a self-expanding stent-graft system across the diseased thoracic…”
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Advances in PET myocardial perfusion imaging: F-18 labeled tracers
Published in Annals of nuclear medicine (01-01-2012)Get full text
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The z‐sbDBA, a new concept for a dynamic sheet‐based fluence field modulator in x‐ray CT
Published in Medical physics (Lancaster) (01-10-2020)“…Purpose We present a new concept for dynamic fluence field modulation (FFM) in x‐ray computed tomography (CT). The so‐called z‐aligned sheet‐based dynamic beam…”
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Application of the 4-D XCAT Phantoms in Biomedical Imaging and Beyond
Published in IEEE transactions on medical imaging (01-03-2018)“…The four-dimensional (4-D) eXtended CArdiac-Torso (XCAT) series of phantoms was developed to provide accurate computerized models of the human anatomy and…”
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On the potential of ROI imaging in x‐ray CT – A comparison of novel dynamic beam attenuators with current technology
Published in Medical physics (Lancaster) (01-07-2021)“…Purpose In this work, we explore the potential of region‐of‐interest (ROI) imaging in x‐ray computed tomography (CT). Using two dynamic beam attenuator (DBA)…”
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A simple approach to measure computed tomography (CT) modulation transfer function (MTF) and noise-power spectrum (NPS) using the American College of Radiology (ACR) accreditation phantom
Published in Medical physics (Lancaster) (01-05-2013)“…Purpose: To develop an easily-implemented technique with free publicly-available analysis software to measure the modulation transfer function (MTF) and…”
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Technical Note: Sheet‐based dynamic beam attenuator – A novel concept for dynamic fluence field modulation in x‐ray CT
Published in Medical physics (Lancaster) (01-12-2019)“…Purpose It has been a long‐standing wish in computed tomography (CT) to compensate the emitted x‐ray beam intensity for the patient's changing attenuation…”
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Moment-based fast discrete Hartley transform
Published in Signal processing (01-08-2003)“…A novel approach to compute the discrete Hartley transform (DHT) is proposed. By using a modular mapping, DHT is approximated by the sum of a finite sequence…”
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Application of the 4D XCAT Phantoms in Biomedical Imaging and Beyond
Published in IEEE transactions on medical imaging (10-08-2017)“…The four dimensional (4D) eXtended CArdiac-Torso (XCAT) series of phantoms was developed to provide accurate computerized models of the human anatomy and…”
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Design of a digital phantom population for myocardial perfusion SPECT imaging research
Published in Physics in medicine & biology (21-06-2014)“…Digital phantoms and Monte Carlo (MC) simulations have become important tools for optimizing and evaluating instrumentation, acquisition and processing methods…”
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Joint estimation of tissue types and linear attenuation coefficients for photon counting CT
Published in Medical physics (Lancaster) (01-09-2015)“…Purpose: Newly developed spectral computed tomography (CT) such as photon counting detector CT enables more accurate tissue‐type identification through…”
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Motion estimation for cardiac functional analysis using two x‐ray computed tomography scans
Published in Medical physics (Lancaster) (01-09-2017)“…Purpose This work concerns computed tomography (CT)‐based cardiac functional analysis (CFA) with a reduced radiation dose. As CT‐CFA requires images over the…”
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Validation of a convolutional neural network algorithm for calcium score quantification using a multivendor dataset
Published in Journal of cardiovascular computed tomography (01-11-2023)Get full text
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Development of a Customizable Hepatic Arterial Tree and Particle Transport Model for Use in Treatment Planning
Published in IEEE transactions on radiation and plasma medical sciences (01-01-2019)“…Optimal treatment planning for radioembolization of hepatic cancers produces sufficient dose to tumors for control and dose to normal liver parenchyma that is…”
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Task-based image quality evaluation of iterative reconstruction methods for low dose CT using computer simulations
Published in Physics in medicine & biology (07-04-2015)“…Iterative reconstruction (IR) methods for x-ray CT is a promising approach to improve image quality or reduce radiation dose to patients. The goal of this work…”
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Evaluating the Performance of a Convolutional Neural Network Algorithm for Measuring Thoracic Aortic Diameters in a Heterogeneous Population
Published in Radiology. Artificial intelligence (01-03-2022)“…The purpose of this work was to assess the performance of a convolutional neural network (CNN) for automatic thoracic aortic measurements in a heterogeneous…”
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Realistic analytical polyhedral MRI phantoms
Published in Magnetic resonance in medicine (01-08-2016)“…Purpose Analytical phantoms have closed form Fourier transform expressions and are used to simulate MRI acquisitions. Existing three‐dimensional (3D)…”
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