Abstract #2633

* **Marcel Gutberlet ^{1},
Mario Zeller^{2}, Frank Wacker^{1}, Herbert Kstler^{2}*

^{1}Institute
of Radiology, Medical School Hannover, Hannover, Lower Saxony, Germany; ^{2}Institute
of Radiology, University of Wrzburg, Wrzburg, Bavaria, Germany

In the theory of SENSE imaging the reconstruction matrix is defined by choosing a set of desired voxel functions. The resulting voxel functions are either generated in the strong voxel approach (SVA) by a least squares minimization or in the weak voxel approach (WVA) by constraining the orthonormality relation to the desired voxel functions. In k-space density weighted imaging for the chosen desired voxel function the signal-to-noise ratio (SNR) is maximized by applying an optimized k-space sampling. In this work, the WVA and SVA of SENSE imaging are evaluated in respect of SNR efficiency depending on the desired voxel functions.