Improving BOLD fMRI

Hall 14.2/Oslo     10:30 - 12:30         Chairs: Oliver Speck and Nikolaus Weiskopf


Prog #

10:30 691.

Twofold Improvement in Single-Shot EPI Efficiency Using Echo Shifting and Parallel Imaging

Oliver Speck1, 2, Maxim Zaitsev2, Kai Zhong2

1Otto-von-Guericke University, Magdeburg, Germany; 2University Hospital Feiburg, Freiburg, Germany


10:42 692.

Automatic Compensation of Local Susceptibility-Induced Signal Loss in EPI Using a Common Gradient

Template and Automatic Slice Positioning - not available

Jochen Rick1, Kai Zhong1, Michael von Mengershausen2, Oliver Speck, 13

1University Hospital Freiburg, Freiburg, Germany; 2Max-Planck-Institute for Neurological Research, Cologne, Germany; 3Otto-von-Guericke University, Magdeburg, Germany

10:54 693.

Distortion Reduction for Spiral-fMRI: Comparison of Iterative and Non-Iterative Parallel Imaging Reconstruction Algorithms

Heiko Schmiedeskamp1, 2, Laura J. Pisani2, Chunlei Lui2, Christine Law2, Klaas P. Pruessmann1, Gary H. Glover2, Roland Bammer2

1ETH Zurich, Zurich, Switzerland; 2Stanford University, Stanford, California, USA


11:06 694.

Full-Brain Coverage and High-Resolution Imaging Capabilities of Passband SSFP fMRI at 3 T

Jin Hyung Lee1, Serge O. Dumoulin1, Gary H. Glover1, Brian A. Wandell1, Dwight G. Nishimura1, John M. Pauly1

                               1Stanford University, Stanford, California, USA


11:18 695.

Characterization of Passband SSFP FMRI: A Comparison with GRE at Multiple Field Strengths

Karla L. Miller1

1Oxford University, Oxford, UK


11:30 696.

Analysis of the BOLD Signal Characteristics in Balanced SSFP fMRI: A Monte-Carlo Simulation

Taek Soo Kim1, Jongho Lee1, John Mark Pauly1

1Stanford University, Stanford, California, USA


11:42 697.

A New Complex Data Analysis Method for Transition-Band SSFP fMRI (BOSS fMRI)

Jongho Lee1, Morteza Shahram2, Armin Schwartzman3, John M. Pauly1

                               1Stanford University, Stanford, California, USA; 2Stanford University., Stanford, California, USA;
Harvard University, Boston, Massachusetts, USA


11:54 698.

Improved Physiological Noise Modelling Reveals Expected Pattern of Pain-Related Spinal Cord Activation

Jonathan Brooks1, Mark Jenkinson1, Karla L. Miller1, Stuart Clare1, Irene Tracey1

1Oxford University, Oxford, Oxfordshire, UK


12:06 699.

Noise Reduction in Combined EEG/fMRI Using a Vector Beamformer

Matthew Jon Brookes1, Karen Julia Mullinger1, Claire Michelle Stevenson1, Peter Gordon Morris1, Richard William Bowtell1

1University of Nottingham, Nottingham, UK


12:18 700.

Bayesian Inference of Multi-Modal Perfusion fMRI Data

Adrian Richard Groves1, Thomas T. Liu2, Mark W. Woolrich1

1University of Oxford, Oxford, UK; 2University of California, San Diego, California, USA