Application of k-Space Energy Spectrum Analysis for Inherent and Dynamic B(0) Mapping and Deblurring in Spiral Imaging

作者：Truong Trong Kha^*; Chen Nan kuei; Song Allen W

来源：Magnetic Resonance in Medicine, 2010, 64(4): 1121-1127.

DOI：10.1002/mrm.22485

• k-space energy spectrum analysis
• KESA
• B(0) mapping
• simulated phase evolution rewinding
• SPHERE
• automatic deblurring
• spiral imaging

Spiral imaging is vulnerable to spatial and temporal variations of the amplitude of the static magnetic field (B(0)) caused by susceptibility effects, eddy currents, chemical shifts, subject motion, physiological noise, and system instabilities, resulting in image blurring. Here, a novel off-resonance correction method is proposed to address these issues. A k-space energy spectrum analysis algorithm is first applied to inherently and dynamically generate a B(0) map from the k-space data at each time point, without requiring any additional data acquisition, pulse sequence modification, or phase unwrapping. A simulated phase evolution rewinding algorithm and an automatic residual deblurring algorithm are then used to correct for the blurring caused by both spatial and temporal B(0) variations, resulting in a high spatial and temporal fidelity. This method is validated against conventional B(0) mapping and deblurring methods, and its advantages for dynamic MRI applications are demonstrated in functional MRI studies. Magn Reson Med 64:1121-1127, 2010.

• 出版日期2010-10