Image analysis – Applications – Biomedical applications
Reexamination Certificate
2007-03-22
2009-12-01
Azarian, Seyed (Department: 2624)
Image analysis
Applications
Biomedical applications
C382S224000, C600S427000
Reexamination Certificate
active
07627156
ABSTRACT:
A system and method are disclosed for automatically classifying plaque lesions. A plaque classification application applies a plaque classification criterion to at least one graphical image, comprising a map of spectrally-analyzed characterized tissue of a vessel cross-section, to render an overall plaque classification for the slice or set of slices, covering a 3D volume. The plaque classification is based upon the amount and location of each characterized tissue type (e.g., necrotic core—NC). In an exemplary embodiment the set of potential plaque classifications, not to be confused with characterized tissue types—from which the plaque classifications are derived—include, for example: adaptive intimal thickening (AIT), pathological intimal thickening (PIT), fibroatheroma (FA), thin-cap fibroatheroma (TCFA), and fibro-calcific (FC).
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Burgess Vincent J.
Margolis Marja Pauliina
Nair Anuja
Vince D. Geoffrey
Azarian Seyed
Leydig , Voit & Mayer, Ltd.
Volcano Corporation
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