Method and system for risk-modulated diagnosis of disease

Image analysis – Applications – Biomedical applications

Reexamination Certificate

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C600S408000

Reexamination Certificate

active

07123762

ABSTRACT:
A method of calculating a disease assessment by analyzing a medical image, comprising (1) extracting at least one lesion feature value from the medical image; (2) extracting at least one risk feature value from the medical image; and (3) determining the disease assessment based on the at least one lesion feature value and the at least one risk feature value. The method employs lesion characterization for characterizing the lesion, and risk assessment based on the lesion's surroundings, i.e., the environment local and distal to the lesion. Computerized methods both characterize mammographic lesions and assess the breast parenchymal pattern on mammograms, resulting in improved characterization of lesions for specific subpopulations, combining the benefits of both techniques.

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patent: 2001/0031076 (2001-10-01), Campanini et al.
Tahoces et al., “Computer-assisted diagnosis: the classification of mammographic breast parenchymal patterns,” Phys. Med. Biol. 40 (1995) 103-117.
Huo et al., “Computerized analysis of mammographic parenchymal patterns for breast cancer risk assessment: Feature selection,” Med. Phys. 27 (1) Jan. 4-12, 2000.

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