Sánchez-González Javier, Tsao Jeffrey, Dydak Ulrike, Desco Manuel, Boesiger Peter, Paul Pruessmann Klaas
Laboratorio de Imagen, Medicina y Cirugía Experimental, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Magn Reson Med. 2006 Feb;55(2):287-95. doi: 10.1002/mrm.20758.
In this work we propose minimum-norm reconstruction as a means to enhance the spatial response behavior in parallel spectroscopic MRI. By directly optimizing the shape of the spatial response function (SRF), the new method accounts for coil sensitivity variation across individual voxels and their side lobes. In this fashion, it mitigates the signal contamination and side-lobe aliasing, to which previous techniques are susceptible at low resolution. Although the computational burden is higher, minimum-norm reconstruction is shown to be feasible using an iterative algorithm. Benefits in terms of SRF shape and artifact suppression are demonstrated.
在这项工作中，我们提出了最小范数重建，作为增强并行磁共振波谱成像中空间响应行为的一种手段。通过直接优化空间响应函数（SRF）的形状，新方法考虑了各个体素及其旁瓣间的线圈灵敏度变化。通过这种方式，它减轻了信号污染和旁瓣混叠，而先前的技术在低分辨率下容易受到这些问题的影响。尽管计算负担较高，但使用迭代算法表明最小范数重建是可行的。在SRF形状和伪影抑制方面的优势得到了证明。
