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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