Multi-projection magnetic resonance inverse imaging of the human visuomotor system.
Using highly parallel radiofrequency (RF) detection, magnetic resonance inverse imaging (InI) can achieve 100 ms temporal resolution with whole brain coverage. This is achieved by trading off partition encoding steps and thus spatial resolution for a higher acquisition rate. The reduced spatial information is estimated by solving under-determined inverse problems using RF coil sensitivity information. Here we propose multi projection inverse imaging (mInI) to combine different projection images to improve the spatial resolution of InI. Specifically, coronal, sagittal, and transverse projection images were acquired from different runs of the fMRI acquisitions using a 32-channel head coil array. Simulations show that mInI improves the quality of the instantaneous image reconstruction significantly. Going from one projection to three projections, the spatial resolution quantified by the full width at half maximum of the point-spread function (PSF) is improved from 2.6 pixels to 1.4 pixels (4 mm nominal resolution per pixel). Considering the shape of the PSF, the effective spatial resolution is improved from 16.9 pixels to 4.7 pixels. In vivo fMRI experiments using a two-choice reaction time tasks show visual and sensorimotor cortical activities spatially consistent with typical EPI data, yet mInI offers 100 ms temporal resolution with the whole brain coverage. The mInI data with three projections revealed that the sensorimotor cortex was activated 700 ms after the visual cortex. mInI can be applied to BOLD-contrast fMRI experiments to characterize the dynamics of the activated brain areas with a high spatiotemporal resolution.
Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan.
Kevin Wen-Kai
KW
Tsai
Aapo
A
Nummenmaa
Thomas
T
Witzel
Wei-Tang
WT
Chang
Wen-Jui
WJ
Kuo
Fa-Hsuan
FH
Lin
D000465:Algorithms; D019540:Area Under Curve; D002560:Cerebrovascular Circulation / Q000502:physiology; D003198:Computer Simulation; D004525:Efferent Pathways / Q000033:anatomy & histology* / Q000502:physiology*; D006439:Hemodynamics / Q000502:physiology; D006801:Humans; D007091:Image Processing, Computer-Assisted; D016014:Linear Models; D008279:Magnetic Resonance Imaging; D009068:Movement / Q000502:physiology; D012372:ROC Curve; D011846:Radio Waves; D059629:Signal-To-Noise Ratio; D012984:Software; D014795:Visual Pathways / Q000033:anatomy & histology* / Q000502:physiology*