Literature DB >> 23742570

A digital magnetic resonance imaging spectrometer using digital signal processor and field programmable gate array.

Xiao Liang1, Sun Binghe, Ma Yueping, Zhao Ruyan.   

Abstract

A digital spectrometer for low-field magnetic resonance imaging is described. A digital signal processor (DSP) is utilized as the pulse programmer on which a pulse sequence is executed as a subroutine. Field programmable gate array (FPGA) devices that are logically mapped into the external addressing space of the DSP work as auxiliary controllers of gradient control, radio frequency (rf) generation, and rf receiving separately. The pulse programmer triggers an event by setting the 32-bit control register of the corresponding FPGA, and then the FPGA automatically carries out the event function according to preset configurations in cooperation with other devices; accordingly, event control of the spectrometer is flexible and efficient. Digital techniques are in widespread use: gradient control is implemented in real-time by a FPGA; rf source is constructed using direct digital synthesis technique, and rf receiver is constructed using digital quadrature detection technique. Well-designed performance is achieved, including 1 μs time resolution of the gradient waveform, 1 μs time resolution of the soft pulse, and 2 MHz signal receiving bandwidth. Both rf synthesis and rf digitalization operate at the same 60 MHz clock, therefore, the frequency range of transmitting and receiving is from DC to ~27 MHz. A majority of pulse sequences have been developed, and the imaging performance of the spectrometer has been validated through a large number of experiments. Furthermore, the spectrometer is also suitable for relaxation measurement in nuclear magnetic resonance field.

Year:  2013        PMID: 23742570     DOI: 10.1063/1.4803007

Source DB:  PubMed          Journal:  Rev Sci Instrum        ISSN: 0034-6748            Impact factor:   1.523


  2 in total

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

Authors:  Limin Li; Alice M Wyrwicz
Journal:  J Magn Reson       Date:  2015-03-23       Impact factor: 2.229

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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