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Fan Lam, 38Champaign, IL

Known as:
Lam Fan
Related to:
Chen Dalin 67 Christopher Yuan Chris N Yuan 74

Fan Lam Phones & Addresses

Champaign, IL   

Urbana, IL   

Wixom, MI   

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Fan Lam resumes & CV records

Resumes

Fan Lam Photo 22

Assistant Professor

Location:
Urbana, IL
Industry:
Research
Work:
University of Illinois at Urbana-Champaign
Assistant Professor Beckman Institute For Advanced Science and Technology Jun 2015 - Jul 2018
Postdoctoral Fellow University of Illinois at Urbana-Champaign Aug 2008 - May 2015
Research Assistant at Electrical and Computer Engineering Ge Healthcare 2010 - 2010
Summer Intern As Assistant Scientist
Education:
University of Illinois at Urbana - Champaign 2008 - 2010
Tsinghua University 2004 - 2008
Bachelors, Bachelor of Science, Biomedical Engineering Xiamen No.1 Middle School
Skills:
Signal Processing, Matlab, Algorithms, Medical Imaging, Image Processing
Fan Lam Photo 23

Fan Lam

Publications & IP owners

Us Patents

System And Method For High-Resolution Spectroscopic Imaging

US Patent:
2016020, Jul 14, 2016
Filed:
Jan 11, 2016
Appl. No.:
14/992498
Inventors:
- Urbana IL, US
FAN LAM - Urbana IL, US
CHAO MA - Charlestown MA, US
International Classification:
G01R 33/56
G01R 33/465
G01R 33/561
Abstract:
A new method is developed to accelerate high-resolution magnetic resonance spectroscopic imaging (MRSI). The method is built on a low-dimensional subspace model exploiting the partial separability of high-dimensional MRSI signals and uses this subspace model for data acquisition, processing, and image reconstruction. Specifically for two and three dimensional MRSI with one spectral dimension, this method sparsely samples the corresponding (k,t)-space in two complementary data sets, one with dense temporal sampling and high signal-to-noise ratio but limited k-space coverage and the other with sparse temporal sampling but extended k-space coverage. The reconstruction is then done by estimating a set of temporal/spectral basis functions and the corresponding spatial coefficients from these two data sets. The proposed subspace model can be further extended to incorporate multiple signal components for nuisance signal removal in H-MRSI and more generalized reconstruction methods. The resulting imaging technique can be used for high-resolution MRSI of different nuclei. It will be useful for high-resolution metabolic imaging with many exciting applications.

Possible Relatives

Cynthia S Lam  David K Lam  Dean H Lam  Deborah T Lam  Danh Lam  Daniel M Lam  Deliris Lam  Fan E Widman  Fan Li  Fan H Walters 

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