Image analysis – Applications – Biomedical applications
Reexamination Certificate
2011-03-08
2011-03-08
Le, Brian Q (Department: 2624)
Image analysis
Applications
Biomedical applications
C382S130000, C382S131000, C382S132000, C382S172000, C600S410000, C600S420000
Reexamination Certificate
active
07903853
ABSTRACT:
A method, system and computer-readable medium of filtering noise pixels and other extraneous data, including saturated fat tissue and air data in image data is provided. Examples of image data may include but are not limited to magnetic resonance imaging data and computed tomography data. The method includes receiving pixel count for each signal intensity value of the image data; determining a signal intensity value, Ipeak, corresponding to a pixel count of a greatest number of pixels, Npeak; setting a noise threshold at a signal intensity value, Inoise, corresponding to a pixel count, NI, such that NIis determined based on Npeak; and filtering from the image data one or more pixels with signal intensity values below the noise threshold. NImay be determined such that NI=Npeak/3 or close to Npeak/3.
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Muehler Andreas
Muradyan Naira
Foley & Hoag LLP
iCAD, Inc.
Le Brian Q
Rush Eric
LandOfFree
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