H
Huili Wang
Researcher at Duke University
Publications - 27
Citations - 851
Huili Wang is an academic researcher from Duke University. The author has contributed to research in topics: Collimator & Iterative reconstruction. The author has an hindex of 15, co-authored 27 publications receiving 839 citations. Previous affiliations of Huili Wang include St. Jude Medical.
Papers
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Journal ArticleDOI
Pinhole collimation for ultra-high-resolution, small-field-of-view SPECT
TL;DR: Evaluated small-field-of-view, ultra-high-resolution pinhole collimation for a rotating-camera SPECT system that could be used to image small laboratory animals and in vitro image quality was evaluated using two rats.
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A 3D model of non-uniform attenuation and detector response for efficient iterative reconstruction in SPECT.
David R. Gilland,Ronald J. Jaszczak,Huili Wang,Timothy G. Turkington,Kim L. Greer,R E Coleman +5 more
TL;DR: The 3D model was incorporated into the maximum likelihood-expectation maximization maximization (ML-EM) reconstruction algorithm and tested in three phantom studies--a point source, a uniform cylinder, and an anthropomorphic thorax--and a patient 9Tc(m) sestamibi study.
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Determination of both mechanical and electronic shifts in cone beam SPECT
TL;DR: The experimental results indicate that the shift parameters determined in the same experiment with the point source located at different places are consistent but change from time to time, suggesting that calibration of the system is needed on a periodic basis.
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Solid geometry-based object model for Monte Carlo simulated emission and transmission tomographic imaging systems
TL;DR: An object model based on combinations of object primitives is proposed for Monte Carlo simulated emission and transmission tomographic imaging systems and has been validated by emission as well as transmission simulations.
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Prone breast tumor imaging using vertical axis-of-rotation (VAOR) SPECT systems: an initial study
TL;DR: In this paper, a single photon emission computed tomography (SPECT) system equipped with multiple cameras which revolve around a vertical axis of rotation (VAOR) for prone-dependent (i.e., patient in prone position) breast tumor imaging is proposed.