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Abstract #4140

Optimizing Cartesian compressed sensing for ultra-high resolution Time of Flight angiography

Hendrik Mattern1 and Oliver Speck1,2,3,4

1Biomedical Magnetic Resonance, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany, 2German Center for Neurodegenerative Disease, Magdeburg, Germany, 3Center for Behavioral Brain Sciences, Magdeburg, Germany, 4Leibniz Institute for Neurobiology, Magdeburg, Germany

Ultra-high resolution Time of Flight (ToF) angiography requires long scan times. Compressed sensing (CS) can reduce the scan time but requires pseudo-random sampling and may blur image details. We present a framework to create Cartesian pseudo-random sampling patterns from any given probability density function and to evaluate quantitatively vessel depiction with CS reconstruction. Results from 0.30 mm and 0.15 mm isotropic ToF data show that moderate acceleration with CS can reduce the scan time considerably while providing vessel depiction similar to the non-accelerated reference.

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