TY - GEN
T1 - Optimal sampling geometries for TV-norm reconstruction of fMRI data
AU - Jeromin, Oliver M.
AU - Calhoun, Vince D.
AU - Pattichis, Marios S.
PY - 2008/12/1
Y1 - 2008/12/1
N2 - This study explores the ability to reconstruct functional magnetic resonance imaging (fMRI) brain slices from a limited number of K-space samples. We use compressed sensing methods to reconstruct brain imaging activity using different K-space sampling geometries. To determine the optimal sampling geometry, we compute the reconstruction error. Here, for each geometry, we also estimate the optimal weighting parameters for the total variation (TV) norm and L-2 norm penalty functions. Initial results show that the optimal sampling geometry varies significantly as a function of the required reduction in K-space sampling density (for 60% to 90% reduction). Furthermore, the reconstructed fMRI slices can be used to accurately detect regions of neural activity from a largely reduced number of K-space samples.
AB - This study explores the ability to reconstruct functional magnetic resonance imaging (fMRI) brain slices from a limited number of K-space samples. We use compressed sensing methods to reconstruct brain imaging activity using different K-space sampling geometries. To determine the optimal sampling geometry, we compute the reconstruction error. Here, for each geometry, we also estimate the optimal weighting parameters for the total variation (TV) norm and L-2 norm penalty functions. Initial results show that the optimal sampling geometry varies significantly as a function of the required reduction in K-space sampling density (for 60% to 90% reduction). Furthermore, the reconstructed fMRI slices can be used to accurately detect regions of neural activity from a largely reduced number of K-space samples.
UR - http://www.scopus.com/inward/record.url?scp=70349661875&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70349661875&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2008.5074649
DO - 10.1109/ACSSC.2008.5074649
M3 - Conference contribution
AN - SCOPUS:70349661875
SN - 9781424429417
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 1397
EP - 1401
BT - 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
T2 - 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
Y2 - 26 October 2008 through 29 October 2008
ER -