Abstract #2792

Tailored Magnetic Resonance Fingerprinting: optimizing acquisition schedule and intelligent reconstruction using a block approach

Imam Shaik¹, Amaresha Shridhar Konar¹, Vineet Vinay Bhombore¹, Rajagopalan Sundaresan², Shivaprasad Ashok Chikop^1,2, Gul Moonis³, Prachi Dubey³, Sachin Jambawalikar³, Ramesh Venkatesan², and Sairam Geethanath^1,3

¹Medical Imaging Research Center, Dayananda Sagar Institutions, Bangalore, India, ²Wipro GE Healthcare, Bangalore, India, ³Dept.of Radiology, Columbia University Medical Center, NewYork, NY, United States

Magnetic Resonance Fingerprinting technique concurrently generates multiple parametric maps providing for accelerated quantitative imaging. However, quantification of tissues with long T2 such as Cerebrospinal Fluid (CSF) remains a challenge. The main aim of this study is to design acquisition parameters to quantify tissues with long T2 values employing a block based, contrast Tailored MRF (TMRF) approach. In addition, this work emphases on a Neural Network (NN) approach that does not demand noise simulation and/or dictionaries.

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