Poynton Clare, Jenkinson Mark, Whalen Stephen, Golby Alexandra J, Wells William
Computer Science and Artificial Intelligence Lab, MIT, USA.
Med Image Comput Comput Assist Interv. 2008;11(Pt 2):271-9. doi: 10.1007/978-3-540-85990-1_33.
We describe a method for correcting the distortions present in echo planar images (EPI) and registering the EPI to structural MRI. A fieldmap is predicted from an air / tissue segmentation of the MRI using a perturbation method and subsequently used to unwarp the EPI data. Shim and other missing parameters are estimated by registration. We obtain results that are similar to those obtained using fieldmaps, however neither fieldmaps, nor knowledge of shim coefficients is required.
我们描述了一种校正回波平面成像(EPI)中存在的畸变并将EPI与结构磁共振成像(MRI)配准的方法。使用微扰法从MRI的空气/组织分割预测场图,随后用于对EPI数据进行去扭曲。通过配准估计匀场和其他缺失参数。我们获得的结果与使用场图获得的结果相似,但是既不需要场图,也不需要匀场系数知识。