Dongxiang Xu1,
Jinnan Wang2, Williams Kerwin1, Chun Yuan1
1Radiology, University of Washington,
Seattle, WA, United States; 2Philips Research North America,
Jinnan.Wang@philips.com, Seattle, WA, United States
Intraplaque
hemorrhage (IPH) into the carotid atherosclerotic plaque has shown
significant association with clinical symptoms and is believed to be a major
factor causing plaque instability and progression according to previous
histopathological and prospective studies. With the development of magnetic resonance
imaging (MRI) in clinical diagnostics, several techniques have been developed
to enable and improve the IPH evaluation. However, automated hemorrhage
detection has been challenging due to either low IPH contrast or poor lumen
contrast. Purpose: In this study, by incorporating the improved IPH and lumen
contrasts in Slab-selection Phase-sensitive Inversion-recovery (SPI) MRI
sequence, we develop a novel and robust image segmentation approach to
automatically locate and delineate IPH in MR data. Quantitative IPH and lumen
analysis results by this automatic segmentation technique were compared to a
human reader, which demonstrated highly consistent performance.