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Abstract #1768

Evaluation of Compressed Sensing Approaches for Rapid Anatomical Imaging of Patients with Brain Tumors

Janine M Lupo1, Javier Villanueva-Meyer1, Maryam Vareth1,2, David Shin3, Emma Bahroos1, Angela Jakary1, Brian Burns3, and Suchandrima Banerjee3
1Radiology & Biomedical Imaging, UCSF, San Francisco, CA, United States, 2Berkeley Institute for Data Science, UC Berkeley, Berkeley, CA, United States, 3GE Healthcare, Menlo Park, CA, United States

Compressed Sensing with parallel imaging can allow for an accelerated anatomical imaging protocol for imaging patients with brain tumors, saving ~10 minutes of scan time over standard clinical protocols when incorporated into 3D T2-FLAIR, and 3D T1-weighted pre- and post- contrast imaging. We first determined the optimal undersampling pattern and acceleration for CS T1-weighted IR-SPGR sequences and then evaluated the quality of the images and lesion definition in patients with brain tumors. This shortened anatomical imaging protocol has the potential to reduce the frequency of motion artifacts and can allow time for more advanced, therapy specific imaging to be acquired.

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