Image analysis – Applications – Biomedical applications
Reexamination Certificate
2008-01-29
2008-01-29
Wu, Jingge (Department: 2624)
Image analysis
Applications
Biomedical applications
C382S266000, C378S006000
Reexamination Certificate
active
10676200
ABSTRACT:
In order to model a fluoroscopic noise present in a radiography operation, two successive images of a same zone are used so that it is possible to pair the dots of the two images as a function of the zone of the space that they represent. The pairs of dots are grouped in sub-groups according to their gray level. For each sub-group, the mean standard deviation σ of the Pi(x, y)−Pi−1(x, y) values is computed. A sub-group is discriminated by eliminating the dots for which Pi(x, y)−Pi−1(x, y) is greater than the mean of the values Pi(x, y)−Pi−1(x, y) plus k times the mean standard deviation. These computations are repeated a certain number of times. Once the sub-group is discriminated, its centering is assessed. A sub-group is non-centered if its mean is greater than 1.5 times its mean standard deviation. Pairs of dots (v, σ) are then obtained. From these dots, an iterative regression is performed to obtain a model of noise according to σ(v)=α.√v+β.v+γ, where v is the gray level and α, β and γ are coefficients defining the noise.
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Cantor & Colburn LLP
GE Medical Systems Global Technology Company LLC
Smith Jeffrey S
Wu Jingge
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