Yaoshen Yuan
SPIE Involvement:
Area of Expertise:
CT imaging , Image and signal processing
Profile Summary

Yaoshen Yuan is a current Master in Department of Electrical and Computer Engineering of Tufts University. His research is focused on CT imaging, ultrasound imaging and signal processing. The current research is using multiple energy bins to improve the reconstruction of Compton and photoelectric images and using the experimental data to verify the benefits of multi-energy bins.
Publications (4)

SPIE Journal Paper | 24 February 2020
NPh Vol. 7 Issue 01
KEYWORDS: Brain, Tissues, Monte Carlo methods, Image segmentation, Magnetic resonance imaging, Neurophotonics, Optical properties, Skin, Head, Computer simulations

SPIE Journal Paper | 7 February 2019
NPh Vol. 6 Issue 01
KEYWORDS: Brain, Light sources, Tissues, Light, Light emitting diodes, Near infrared, Tissue optics, Skin, Scattering, Monte Carlo methods

SPIE Journal Paper | 29 November 2018
JBO Vol. 23 Issue 12
KEYWORDS: Monte Carlo methods, Denoising, Signal to noise ratio, Image filtering, Digital filtering, Photon transport, Photon counting, Computer simulations, Visualization, Gaussian filters

Proceedings Article | 12 May 2016 Paper
Proc. SPIE. 9847, Anomaly Detection and Imaging with X-Rays (ADIX)
KEYWORDS: Photodetectors, Photon counting, X-ray computed tomography, Imaging systems, Sensors, Signal attenuation, Metals, X-rays, Aluminum, Actinium

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