Higher spatial resolution and sensitivity in whole brain functional MRI at 7T using 3D EPI accelerated with variable density CAIPI sampling and temporal random walk
IF 3 3区 医学Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Suhyung Park, Alexander Beckett, Suvi Häkkinen, Erica Walker, Samantha J. Ma, Sugil Kim, Hahnsung Kim, David A. Feinberg
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引用次数: 0
Abstract
Purpose
To develop an efficient 3D EPI encoding technique for high spatiotemporal resolution functional MRI.
Methods
To exploit spatiotemporal fMRI data structure, we introduce a variable density 2D CAIPI sampling in the spatial domain combined with time-wise extra random encoding in the time domain, thus achieving pseudo-regular sampling with a regular blip while allowing incoherent sampling in a complementary manner across time. This enabled temporally regularized reconstruction of highly accelerated functional data acquisition. The encoding scheme was then validated against temporally invariant CAIPI encoding by applying to locally confined and whole-brain around the primary visual cortex, respectively, with increasing the spatial resolutions.
Results
For partial brain imaging, our proposed method achieved higher reconstruction accuracy, resulting in a substantial increase of SSIM compared to an alternative method for 0.64 mm-isotropic resolution. When used for whole brain imaging at 0.56 mm-isotropic resolution, our method showed a decreased spatial extent of activation and produced high-quality images for a clear distinction between activated and non-activated regions around calcarine fissure with high spatial specificity.
Conclusion
The proposed 3D EPI encoding scheme, which exploits coherent and incoherent sampling properties, can significantly improve the image quality while providing a good balance between sensitivity and specificity in the activated regions.
期刊介绍:
Magnetic Resonance in Medicine (Magn Reson Med) is an international journal devoted to the publication of original investigations concerned with all aspects of the development and use of nuclear magnetic resonance and electron paramagnetic resonance techniques for medical applications. Reports of original investigations in the areas of mathematics, computing, engineering, physics, biophysics, chemistry, biochemistry, and physiology directly relevant to magnetic resonance will be accepted, as well as methodology-oriented clinical studies.