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 Ji

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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
Title of host publicationProceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
Pages4791-4794
Number of pages4
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 - Minneapolis, MN, United States
Duration: 2 Sep 20096 Sep 2009

Other

Other31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
CountryUnited States
CityMinneapolis, MN
Period2/9/096/9/09

Fingerprint

Fourier Analysis
Magnetic resonance imaging
Parameter estimation
Labeling
Fourier transforms
Cerebrovascular Circulation
Blood
MATLAB
Brain
Perfusion
Processing

Keywords

  • Arterial spin labeling
  • Bolus arrival time
  • Cerebral blood flow
  • Magnetic resonance imaging

ASJC Scopus subject areas

  • Cell Biology
  • Developmental Biology
  • Biomedical Engineering
  • Medicine(all)

Cite this

Pham, V., Zhu, X. P., Li, K. L., & Ji, J. (2009). Parameter estimation in arterial spin labeling MRI: Comparing the four phase model and the buxton model with fourier transform. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 (pp. 4791-4794). [5332640] https://doi.org/10.1109/IEMBS.2009.5332640

Parameter estimation in arterial spin labeling MRI : Comparing the four phase model and the buxton model with fourier transform. / Pham, Vincent; Zhu, Xiao Ping; Li, Ka Loh; Ji, Jim.

Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. 2009. p. 4791-4794 5332640.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pham, V, Zhu, XP, Li, KL & Ji, J 2009, Parameter estimation in arterial spin labeling MRI: Comparing the four phase model and the buxton model with fourier transform. in Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009., 5332640, pp. 4791-4794, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009, Minneapolis, MN, United States, 2/9/09. https://doi.org/10.1109/IEMBS.2009.5332640
Pham V, Zhu XP, Li KL, Ji J. Parameter estimation in arterial spin labeling MRI: Comparing the four phase model and the buxton model with fourier transform. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. 2009. p. 4791-4794. 5332640 https://doi.org/10.1109/IEMBS.2009.5332640
Pham, Vincent ; Zhu, Xiao Ping ; Li, Ka Loh ; Ji, Jim. / Parameter estimation in arterial spin labeling MRI : Comparing the four phase model and the buxton model with fourier transform. Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. 2009. pp. 4791-4794
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