Parameter estimation in arterial spin labeling MRI: comparing the Four Phase model and the Buxton model with Fourier transform.

Vincent Pham, Xiao Ping Zhu, Ka loh Li, Jim Xiuquan Ji

Research output: Contribution to journalArticle

Abstract

This paper presents a comparison between two algorithms that analyze and extract brain perfusion parameters from pulsed arterial spin labeling (ASL). One algorithm is based on the Four Phase Single Capillary Stepwise (FPSCS) model, which divides the time course of the signal difference between the control and labeled image into four phases. The other algorithm utilizes the Buxton model and Fourier transformation (FTB). Both algorithms are implemented on MATLAB to extract the bolus arrival time (BAT) and the cerebral blood flow (CBF). Current results show that the FTB algorithm has similar estimations of the BAT and CBF compared to the FPSCS model with generally faster processing speeds.

Original languageEnglish
Pages (from-to)4791-4794
Number of pages4
JournalConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
Publication statusPublished - 2009
Externally publishedYes

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Fourier Analysis
Magnetic resonance imaging
Parameter estimation
Labeling
Fourier transform
Fourier transforms
Cerebrovascular Circulation
arrival time
Blood
blood
MATLAB
brain
Brain
Perfusion
labelling
parameter estimation
Processing

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

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