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SUMMARY:Enhancing fMRI Reconstruction by Means of the ICBTV-Regularisation
  Combined with Suitable Subsampling Strategies and Temporal Smoothing - Ev
 a-Maria Brinkmann (Westfalische Wilhelms-Universitat Munster)
DTSTART:20171030T154000Z
DTEND:20171030T160000Z
UID:TALK94021@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:<span>   <span>Based on   the magnetic resonance imaging (MRI)
  technology\, fMRI is a noninvasive   functional neuroimaging method\, whi
 ch provides maps of the brain at different   time steps\, thus depicting b
 rain activity by detecting changes in the blood   flow and hence constitut
 ing an important tool in brain research.<br>     An fMRI screening typical
 ly consists of three stages: At first\, there is a   short low-resolution 
 prescan to ensure the proper positioning of the proband   or patient. Seco
 ndly\, an anatomical high resolution MRI scan is executed and   finally th
 e actual fMRI scan is taking place\, where a series of data is   acquired 
 via fast MRI scans at consecutive time steps thus illustrating the   brain
  activity after a stimulus. In order to achieve an adequate temporal resol
 ution   in the fMRI data series\, usually only a specific portion of the e
 ntire   k-space is sampled.<br>     Based on the assumption that the full 
 high-resolution MR image and the fast   acquired actual fMRI frames share 
 a similar edge set (and hence the sparsity   pattern with respect to the g
 radient)\, we propose to use the Infimal   Convolution of Bregman Distance
 s of the TV functional (ICBTV)\, first   introduced in \\cite{Moeller_et_a
 l}\, to enhance the quality of the   reconstructed fMRI data by using the 
 full high-resolution MRI scan as a   prior. Since in fMRI the hemodynamic 
 response is commonly modelled by a   smooth function\, we moreover discuss
  the effect of suitable subsampling   strategies in combination with tempo
 ral regularisation.<br>     <br>     This is joint work with Julian Rasch\
 , Martin Burger (both WWU M&uuml\;nster) and   with Ville Kolehmainen (Uni
 versity of Eastern Finland).<br>     <br>     [1] {Moeller_et_al} M. Moell
 er\, E.-M. Brinkmann\, M. Burger\, and T. Seybold:   Color Bregman TV. SIA
 M J. Imag. Sci. 7(4) (2014)\, pp. 2771-2806.<br>     </span></span>
LOCATION:Seminar Room 1\, Newton Institute
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