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Dwight G. Nishimura

Researcher at Stanford University

Publications -  241
Citations -  16976

Dwight G. Nishimura is an academic researcher from Stanford University. The author has contributed to research in topics: Steady-state free precession imaging & Iterative reconstruction. The author has an hindex of 61, co-authored 241 publications receiving 16226 citations. Previous affiliations of Dwight G. Nishimura include University of California, Berkeley & Pontifical Catholic University of Chile.

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Selection of a convolution function for Fourier inversion using gridding (computerised tomography application)

TL;DR: The authors compare the artifact introduced into the image for various convolving functions of different sizes, including the Kaiser-Bessel window and the zero-order prolate spheroidal wave function (PSWF).
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Fast spiral coronary artery imaging

TL;DR: A flow‐independent method for imaging the coronary arteries within a breath‐hold on a standard whole‐body MR imager was developed and fat suppression by a spectral‐spatial pulse improves the visualization of the arteries.
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FeCo/graphitic-shell nanocrystals as advanced magnetic-resonance-imaging and near-infrared agents

TL;DR: A scalable chemical vapour deposition method is presented to synthesize FeCo/single-graphitic-shell nanocry crystals that are soluble and stable in water solutions and point to the potential of using these nanocrystals for integrated diagnosis and therapeutic (photothermal-ablation) applications.
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Parameter relations for the Shinnar-Le Roux selective excitation pulse design algorithm (NMR imaging)

TL;DR: An overview of the Shinnar-Le Roux (SLR) algorithm is presented and it is shown how the performance of SLR pulses can be very accurately specified analytically, and how to design a pulse that produces a specified slice profile.
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Homodyne detection in magnetic resonance imaging

TL;DR: It is suggested that synchronous detection or demodulation can be used in MRI systems in place of magnitude detection to provide complete suppression of undesired quadrature components, to preserve polarity and phase information, and to eliminate the biases and reduction in signal-to-noise ratio (SNR) and contrast in low SNR images.