Literature DB >> 25909646

Design of an MR image processing module on an FPGA chip.

Limin Li1, Alice M Wyrwicz2.   

Abstract

We describe the design and implementation of an image processing module on a single-chip Field-Programmable Gate Array (FPGA) for real-time image processing. We also demonstrate that through graphical coding the design work can be greatly simplified. The processing module is based on a 2D FFT core. Our design is distinguished from previously reported designs in two respects. No off-chip hardware resources are required, which increases portability of the core. Direct matrix transposition usually required for execution of 2D FFT is completely avoided using our newly-designed address generation unit, which saves considerable on-chip block RAMs and clock cycles. The image processing module was tested by reconstructing multi-slice MR images from both phantom and animal data. The tests on static data show that the processing module is capable of reconstructing 128×128 images at speed of 400 frames/second. The tests on simulated real-time streaming data demonstrate that the module works properly under the timing conditions necessary for MRI experiments.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  2D FFT; FPGA; Graphical coding; Image processing; Real time

Mesh:

Year:  2015        PMID: 25909646      PMCID: PMC4441561          DOI: 10.1016/j.jmr.2015.03.007

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  13 in total

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Journal:  J Magn Reson       Date:  2008-02-29       Impact factor: 2.229

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Journal:  Rev Sci Instrum       Date:  2012-10       Impact factor: 1.523

9.  A firmware-defined digital direct-sampling NMR spectrometer for condensed matter physics.

Authors:  M Pikulski; T Shiroka; H-R Ott; J Mesot
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  2 in total

1.  Parallel 2D FFT implementation on FPGA suitable for real-time MR image processing.

Authors:  Limin Li; Alice M Wyrwicz
Journal:  Rev Sci Instrum       Date:  2018-09       Impact factor: 1.523

2.  Modularized architecture of address generation units suitable for real-time processing MR data on an FPGA.

Authors:  Limin Li; Alice M Wyrwicz
Journal:  Rev Sci Instrum       Date:  2016-06       Impact factor: 1.523

  2 in total

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