Jana Hutter1, 2, Robert Grimm1, Christoph Forman1, 2, Joachim Hornegger1, 2, Peter Schmitt3
1Pattern recognition lab, Universitt Erlangen-Nrnberg, Erlangen, Germany; 2Erlangen graduate school in avanced optical technologies, Erlangen, Germany; 3MR Application & Workflow Development, Siemens AG, Healthcare Sector, Germany
Non-contrast enhanced 3D MR angiography of the renal arteries typically needs a long acquisition time. We use an iterative reconstruction algorithm which combines parallel MRI and compressed sensing to accelerate the acquisition time by a factor of up to 9. Different undersampling factors, realized with a dedicated pattern, are applied and reconstructed with our approach. The evaluation shows that a high level of image quality regarding sharpness and contrast in the first and second order branches as well as the maximal visible blood path length is achieved.
Keywords