Gholipour Ali, Kehtarnavaz Nasser, Gopinath Kaundinya, Briggs Richard, Panahi Issa
Electrical Engineering Department, University of Texas at Dallas, 800 W. Campbell Rd., Richardson, TX 75080, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:94-7. doi: 10.1109/IEMBS.2008.4649099.
Magnetic resonance field map images are normally used in characterizing the magnetic field inhomogeneity for distortion correction in Echo-Planar Imaging (EPI) and accurate localization in functional MRI (fMRI). In this paper, the computation and applications of an average field map image template is investigated based on real field maps. The introduced methodology and the obtained field map image templates may be used in EPI and fMRI image analysis, distortion correction, registration, and functional localization when high-resolution field map images are not available for individual datasets. The introduced methodology involves three stages of pre-processing, registration, and spatial normalization. The analysis and results presented in this paper show the impact and usefulness of the investigated methodology in several applications.
磁共振场图图像通常用于表征磁场不均匀性,以进行回波平面成像(EPI)中的失真校正和功能磁共振成像(fMRI)中的精确定位。本文基于实际场图研究了平均场图图像模板的计算及应用。当无法获得单个数据集的高分辨率场图图像时,所介绍的方法和获得的场图图像模板可用于EPI和fMRI图像分析、失真校正、配准和功能定位。所介绍的方法包括预处理、配准和空间归一化三个阶段。本文给出的分析和结果表明了所研究方法在若干应用中的影响和实用性。