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.