Ahmed Amr Harouni1, Jakir Hossain1, Michael A. Jacobs2, Nael Fakhry Osman1,2
1Electrical and computer Engineering, Johns Hopkins University, Baltimore, MD, United States; 2Department of Radiology, Johns Hopkins University, Baltimore, MD, United States
Early detection through periodic screening is the key to decrease beast cancer mortality. Fast Strain-encoded (FSENC) MR with a limited hardware was previously introduced to detect different stiffness by measuring the strain. In this work, we introduce a new hardware capable of periodically compressing the breast, which allows us to achieve higher resolution while maintaining same SNR by prolonging scan time. Simple controls and redundant safety measures were added to ensure accurate, repeatable and safe in-vivo experiments. Results show that high-resolution SENC images have four-fold CNR increase relative to low-resolution FSENC images, which leads to better tumor detection.