PULSAR

A MATLAB toolbox for parallel magnetic resonance imaging using array coils and multiple channel receivers

Jim Ji, Bum Son Jong, Swati D. Rane

Research output: Contribution to journalArticle

51 Citations (Scopus)

Abstract

Partial parallel imaging (PPI) techniques using array coils and multichannel receivers have become an effective approach to achieving fast magnetic resonance imaging (MRI). This article presents a Matlab toolbox called PULSAR (Parallel imaging Utilizing Localized Surface-coil Acquisition and Reconstruction) that can simulate the data acquisition and image reconstruction, and analyze performance of five common PPI techniques. PULSAR can simulate sensitivity functions of rectangular loop coils using a quasi-static model based on Biot-Savart's Law and undersampled multichannel data acquisition on a rectilinear k-space grid. In addition, PULSAR provides performance evaluation of the techniques based on artifact power (AP), signal-to-noise ratio (SNR), and computational complexity. In this article, the structure and functionality of the PULSAR toolbox are described. Examples using both the simulated and real four-channel and eight-channel data were used to demonstrate the utilities of the toolbox and to show that PULSAR is a convenient and effective means to study the PPI under different coil geometries, acquisition strategies, and reconstruction methods.

Original languageEnglish
Pages (from-to)24-36
Number of pages13
JournalConcepts in Magnetic Resonance Part B: Magnetic Resonance Engineering
Volume31
Issue number1
DOIs
Publication statusPublished - Feb 2007
Externally publishedYes

Fingerprint

Computer-Assisted Image Processing
Signal-To-Noise Ratio
Magnetic resonance
Artifacts
MATLAB
magnetic resonance
acquisition
coils
receivers
Magnetic Resonance Imaging
Imaging techniques
imaging techniques
data acquisition
Data acquisition
Biot-Savart law
static models
image reconstruction
Image reconstruction
artifacts
signal to noise ratios

Keywords

  • GRAPPA
  • Image reconstruction
  • Magnetic resonance imaging
  • Parallel imaging
  • PILS
  • SENSE
  • SMASH
  • SPACE-RIP
  • Toolbox

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Spectroscopy
  • Physical and Theoretical Chemistry

Cite this

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abstract = "Partial parallel imaging (PPI) techniques using array coils and multichannel receivers have become an effective approach to achieving fast magnetic resonance imaging (MRI). This article presents a Matlab toolbox called PULSAR (Parallel imaging Utilizing Localized Surface-coil Acquisition and Reconstruction) that can simulate the data acquisition and image reconstruction, and analyze performance of five common PPI techniques. PULSAR can simulate sensitivity functions of rectangular loop coils using a quasi-static model based on Biot-Savart's Law and undersampled multichannel data acquisition on a rectilinear k-space grid. In addition, PULSAR provides performance evaluation of the techniques based on artifact power (AP), signal-to-noise ratio (SNR), and computational complexity. In this article, the structure and functionality of the PULSAR toolbox are described. Examples using both the simulated and real four-channel and eight-channel data were used to demonstrate the utilities of the toolbox and to show that PULSAR is a convenient and effective means to study the PPI under different coil geometries, acquisition strategies, and reconstruction methods.",
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