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UID:8255@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20141107T140000
DTEND;TZID=Europe/Paris:20141107T150000
DTSTAMP:20241120T210313Z
URL:https://www.i2m.univ-amu.fr/evenements/k-niinimaki-university-of-easte
 rn-finland-functional-magnetic-resonance-imaging-and-sparse-sampling/
SUMMARY: (...): K. Niinimaki (University of Eastern Finland): Functional ma
 gnetic resonance imaging and sparse sampling
DESCRIPTION:: Functional magnetic resonance imaging and sparse sampling by 
 Kati Niinimaki (University of Eastern Finland)\n\nFunctional magnetic reso
 nance imaging (fMRI) is a medical imaging method that can be used to gain 
 information about brain activation. The correct detection and localization
  of brain activity both during a task or at rest can provide useful inform
 ation for medical research purposes and for medical diagnosis. In order to
  be able to detect the rapid changes in the fMRI signal\\\, the fMRI acqui
 sition time needs to be short.  However the image quality is related to th
 e scanning time\\\, since basically the more measurements one takes (i.e. 
 longer scanning time) the better image quality one can expect.  The MRI ac
 quisition time could be significantly reduced by reducing the sampling rat
 e of the k-space. Traditionally the k-space sampling pattern is designed t
 o meet the Nyquist criterion and violation of this criterion causes artifa
 ct and deterioration in the  image quality. In this research I shall consi
 der some sparse recovery methods and study their applicability for fMRI pu
 rposes with sparsely sampled data.\n
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DTSTART:20141026T020000
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