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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 Chikop1,2, Gul Moonis3, Prachi Dubey3, Sachin Jambawalikar3, Ramesh Venkatesan2, and Sairam Geethanath1,3

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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