作者: Karla L. Miller , Stephen M. Smith , Peter Jezzard , John M. Pauly
DOI: 10.1002/MRM.20753
关键词: Image quality 、 Visual cortex 、 Dropout (neural networks) 、 Artificial intelligence 、 Sensitivity (control systems) 、 Boss 、 Image resolution 、 Signal 、 Computer vision 、 Steady-state free precession imaging 、 Computer science
摘要: The resolution in conventional BOLD FMRI is considerably lower than can be achieved with other MRI methods, and insufficient for many important applications. One major difficulty robustly improving spatial the poor image quality FMRI, which suffers from distortions, blurring, signal dropout. This work considers potential increased a new method based on balanced SSFP. establishes blood oxygenation sensitive steady-state (BOSS) signal, frequency sensitivity of SSFP used to detect shift deoxyhemoglobin. BOSS highly SNR efficient does not suffer distortions or dropout, making this an excellent candidate high-resolution FMRI. study presents first demonstration using 3D stack-of-segmented EPI readout combined acquisition at multiple center frequencies. shown enable data (1 x 1 2 mm(3)) both visual motor systems standard hardware 1.5 T. Currently, limitation its temporal field drift.