Meeting Banner
Abstract #2541

Vessel Adapted Regularization for Iterative Reconstruction in MR Angiography

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, Erlangen, Germany

Iterative methods such as Compressed Sensing involve regularization terms to stabilize and accelerate the optimization. Smoothness and sparsity assumptions are widely used as regularization, but the special structure of angiographic data is not yet part of the regularization. Our new method takes the localization and brightness of vessels, adapted to each individual vessel, into account. The information is extracted using an ellipsoid-based segmentation approach and included into the reconstruction with a modified Gaussian penalty map. This approach proved to be beneficial for the reconstruction time as well as for the general image quality.

Abstract PDF

Keywords

accelerate account acknowledge adapt adapted advanced advantage aliasing aligned amplification angiography application arrow artifact assumptions automatically axis beneficial better brightness calculation choice compressed concerning consists continuity corrected correspond developed development deviation difficult dimension disappears displacements distribution done earlier ellipsoid entered equation even excellence extracted faster fidelity field final formula foundation framework function funding furthermore general graduate gratefully healthy illustrate illustrates in vivo include included includes individual influence initial initiative investigation involve iteration iterations iterative knowledge leads lengths limits localization major matrix minimization modified needs next noise objective offer optical optimal optimally optimization orthogonal part pattern penalty peripheral peter positions prior problem procedure properties propose proposed proved quality reached recently recognition reconstructed reconstruction regularization regulating rotated rotation sampling scanner school sector segmentation segmented segments sensing situations slice smoothness sparsity spatial special stabilize step steps still structure subject subjects system take takes technologies term trans triggered trio twofold upper vessel vessels view visible volunteers widely