Yu Huanzhou, Reeder Scott B, Shimakawa Ann, Brittain Jean H, Pelc Norbert J
Department of Electrical Engineering, Stanford University, CA, USA.
Magn Reson Med. 2005 Oct;54(4):1032-9. doi: 10.1002/mrm.20654.
Robust fat suppression techniques are required for many clinical applications. Multi-echo water-fat separation methods are relatively insensitive to B(0) field inhomogeneity compared to the fat saturation method. Estimation of this field inhomogeneity, or field map, is an essential and important step, which is well known to have ambiguity. For an iterative water-fat decomposition method recently proposed, ambiguities still exist, but are more complex in nature. They were studied by analytical expressions and simulations. To avoid convergence to incorrect field map solutions, an initial guess closer to the true field map is necessary. This can be achieved using a region growing process, which correlates the estimation among neighboring pixels. Further improvement in stability is achieved using a low-resolution reconstruction to guide the selection of the starting pixels for the region growing. The proposed method was implemented and shown to significantly improve the algorithm's immunity to field inhomogeneity.
许多临床应用都需要强大的脂肪抑制技术。与脂肪饱和法相比,多回波水脂分离方法对B(0)场不均匀性相对不敏感。估计这种场不均匀性,即场图,是一个必不可少且重要的步骤,众所周知,这一步存在模糊性。对于最近提出的一种迭代水脂分解方法,模糊性仍然存在,但本质上更为复杂。通过解析表达式和模拟对其进行了研究。为了避免收敛到不正确的场图解,需要一个更接近真实场图的初始猜测。这可以通过区域生长过程来实现,该过程将相邻像素之间的估计关联起来。使用低分辨率重建来指导区域生长起始像素的选择,可进一步提高稳定性。所提出的方法得以实现,并显示出能显著提高算法对场不均匀性的免疫力。