Abstract #0554
Intraplaque Hemorrhage Detection and Threshold Selection for Simultaneous Noncontrast Angiography and IntraPlaque Hemorrhage (SNAP) Images
Jin Liu 1 , Marina S. Ferguson 1 , Jinnan Wang 2 , Daniel S. Hippe 1 , Niranjan Balu 1 , William S. Kerwin 1 , Thomas S. Hatsukami 1 , and Chun Yuan 1
1
University of Washington, Seattle, WA,
United States,
2
Philips
Research North America, NY, United States
Intraplaque hemorrhage (IPH), an important destabilizing
factor in atherosclerosis progression, can be identified
as hyperintensity region in Simultaneous Noncontrast
Angiography and intraPlaque hemorrhage (SNAP) images. In
this study, validation of SNAP in detecting IPH with
histology was performed, demonstrating that SNAP can
identify carotid IPH accurately in vivo. Furthermore, a
threshold of 740 based on the original intensity of SNAP
images were obtained by optimization, in order to detect
carotid IPH automatically.
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