Fast functional MRI

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

Abstract

What happens in a persons brain when they see a picture of somebody they recognize? Recognition takes place almost immediately. But where in the brain does it take place? Functional Magnetic Resonance Imaging (fMRI) is a technique which can be used to study mental activity in the brain. However as currently used, the temporal resolution of fMRI studies are too slow to answer such questions. To increase its usefulness, new methods of speeding up fMRI studies must be introduced. In this paper we discuss a method which improves the time resolution in fMRI. Using prior knowledge of the region of interest (ROI) and the time constraints we wish to obtain, the method tailors the k-space (Fourier space) sampling region and creates a matching prolate spheroidal wave function filter in order to maximize the energy concentration in the ROI. The method enables one, at high time resolution, to study the total activity over a pre-defined region of the brain. Thereby giving the opportunity to study the change in mental activity that occurs in that region, when a specific task is performed. This is a problem that, besides having a clear medical interest, also involves interesting mathematical and statistical aspects, especially in Fourier and time series analysis.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsA.F. Laine, M.A. Unser, A. Aldroubi
Pages163-171
Number of pages9
Volume4478
DOIs
StatePublished - 2001
Externally publishedYes
EventWavelets: Applications in Signal and Image Processing IX - San Diego, CA, United States
Duration: Jul 30 2001Aug 1 2001

Other

OtherWavelets: Applications in Signal and Image Processing IX
CountryUnited States
CitySan Diego, CA
Period7/30/018/1/01

Fingerprint

brain
magnetic resonance
Brain
time series analysis
Time series analysis
Fourier series
Wave functions
temporal resolution
sampling
wave functions
Sampling
filters
Magnetic Resonance Imaging
energy

Keywords

  • fMRI
  • Prolate spheroidal wave functions
  • Rearrangements
  • Riesz inequality

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Lindquist, M. (2001). Fast functional MRI. In A. F. Laine, M. A. Unser, & A. Aldroubi (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (Vol. 4478, pp. 163-171) https://doi.org/10.1117/12.449699

Fast functional MRI. / Lindquist, Martin.

Proceedings of SPIE - The International Society for Optical Engineering. ed. / A.F. Laine; M.A. Unser; A. Aldroubi. Vol. 4478 2001. p. 163-171.

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

Lindquist, M 2001, Fast functional MRI. in AF Laine, MA Unser & A Aldroubi (eds), Proceedings of SPIE - The International Society for Optical Engineering. vol. 4478, pp. 163-171, Wavelets: Applications in Signal and Image Processing IX, San Diego, CA, United States, 7/30/01. https://doi.org/10.1117/12.449699
Lindquist M. Fast functional MRI. In Laine AF, Unser MA, Aldroubi A, editors, Proceedings of SPIE - The International Society for Optical Engineering. Vol. 4478. 2001. p. 163-171 https://doi.org/10.1117/12.449699
Lindquist, Martin. / Fast functional MRI. Proceedings of SPIE - The International Society for Optical Engineering. editor / A.F. Laine ; M.A. Unser ; A. Aldroubi. Vol. 4478 2001. pp. 163-171
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