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Spectroscopy / Nuclear magnetic resonance / Fast Fourier transform / Two-dimensional nuclear magnetic resonance spectroscopy / Sparse matrix / Science / Digital signal processing / Mathematical analysis / Scientific method


5148 MRS Sparse-FFT: Reducing Acquisition Time and Artifacts for In Vivo 2D Correlation Spectroscopy Lixin Shi1, Ovidiu C. Andronesi2, Haitham Hassanieh1, Badih Ghazi1, Dina Katabi1, and Elfar Adalsteinsson1,3 1 Electric
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Document Date: 2013-06-01 01:37:16

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City

Boston / Cambridge / /

Company

2D COSY / Siemens / /

Country

United States / /

Facility

Massachusetts General Hospital / Massachusetts Institute of Technology / /

Holiday

Ramadan / /

IndustryTerm

reconstruction algorithms / 2D spectroscopy applications / routine clinical applications / algorithms / /

Organization

Harvard Medical School / Electrical Engineering and Computer Science Department / Radiology Department / Massachusetts General Hospital / Massachusetts Institute of Technology / MIT Division of Health Sciences and Technology / 2Martinos Center for Biomedical Imaging / /

Person

A. A. Tzika / V / Tim Trio Siemens / /

ProvinceOrState

Massachusetts / /

Technology

sparse-FFT algorithm / Spectroscopy / conventional FFT algorithm / LASER / sparse-FFT algorithms / reconstruction algorithms / adapting sparse-FFT algorithms / /

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