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Abstract #3153

Susceptibility weighted imaging with Compressed-SENSE: Quantitative and Clinical evaluation

Jaladhar Neelavalli1, Rakesh Kumar Gupta2, Jakob Meineke3, Rupsa Bhattacharjee4, Suthambhara Nagaraj1, Tejas Jatin Shah1, Ulrich Katscher3, and Indrajit Saha4

1Philips Innovation Campus, Philips India Limited, Bengaluru, India, 2Fortis Memorial Research Institute, Gurugram, India, 3Philips Research Europe, Hamburg, Germany, 4Philips India Limited, Gurugram, India

The current work evaluates the influence of a combined SENSE and compressed sensing algorithm, Compressed-SENSE, on the quantitative and qualitative aspects of SWI data. Quantitative evaluation is done using quantitative susceptibility maps. Clinical qualitative assessment is done in patients with cerebral glioma using ITSS score as the metric for image diagnostic quality.

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