Image analysis – Applications – Biomedical applications
Reexamination Certificate
2006-01-03
2009-06-30
Tabatabai, Abolfazl (Department: 2624)
Image analysis
Applications
Biomedical applications
C382S173000, C424S277100
Reexamination Certificate
active
07555152
ABSTRACT:
Detecting ground glass nodules in medical images includes calculating a probability distribution function of background lung tissue in a chest image, estimating a variation range of the background tissue probability distribution function, estimating a probability distribution function of an image point belonging to a ground glass nodule from the variation range of the background tissue probability distribution function by using a function corresponding to the variation range of the background tissue probability distribution function, and calculating a log likelihood function of the image from the background tissue probability distribution function and the estimated ground glass nodule probability distribution function, wherein the log likelihood function represents the confidence that a point in the image is not part of a ground glass nodule. The log likelihood function value for each point is compared to a confidence value of the background tissue, to determine if the point is a candidate ground glass nodule location.
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patent: 7209581 (2007-04-01), Zhang et al.
Zhang Li et al., “Consistent Interactive Segmentation of Pulmonary Ground Glass Nodules Identified in CT Studies,” Proceedings of the SPIE (2004) 5370, pp. 1709-1719.
Leemput, Koen Van et al., “Automated Segmentation of Multiple Sclerosis Lesions by Model Outlier Detection,” IEEE Transactions Medical Imaging, (2001) 20:8 p. 677.
Fan I et al., “Automated Detection of Lung Nodules From Multi-Slice Low-Dose CT Images,” Proceedings of the SPIE (2001) 4322 pp. 1828-1835.
International Search Report.
Hong Lin
Lu Yumao
Shen Hong
Siemens Medical Solutions USA , Inc.
Tabatabai Abolfazl
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