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Abstract #2864

A Principled Approach to Combining Inversion Recovery Images

Antal Horvath1, Christoph Jud1, Simon Pezold1, Matthias Weigel1,2, Charidimos Tsagkas3, Katrin Parmar3, Oliver Bieri1,2, and Philippe Cattin1

1Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland, 2Division of Radiological Physics, Department of Radiology, University Hospital Basel, Basel, Switzerland, 3Department of Neurology, University Hospital Basel, Basel, Switzerland

The averaged magnetization inversion recovery acquisitions (AMIRA) spinal cord imaging sequence acquires images of different inversion contrasts. Despite the different contrasts the images can be combined to even enhance tissue contrast. We give a principled justification for such averaging. Using energy optimization, we describe how to automatically optimize the contrast-to-noise ratio between different tissues using a compressed sensing inspired approach. We show that the uniform weights in the recently proposed AMIRA sequence are close to the optimum but can nevertheless still be improved. As an example we optimize the contrast-to-noise ratio between different compartments in the spinal cord.

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