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AssigneesH. Lee Moffitt Cancer Center and Research Institute, Inc., Mayo Foundation for Medical Education and Research
InventorsJohn J. Heine, Thomas A. Sellers, Celine M. Vachon, Erin E. Fowler
Estimating the term…
An automated percentage of breast density measure (PDa) that analyzes signal dependent noise (SDN) based on a wavelet expansion using full field digital mammography (FFDM). A matched case-control dataset is used with images acquired from a specific direct x-ray capture FFDM system. PDa is applied to the raw and clinical display representation images. Transforming (pixel mapping) of the raw image to another representation (raw-transformed) is performed using differential evolution optimization and investigated the influence of lowering the native spatial resolution of the image by a one-half. When controlling for body mass index, the quartile specific ORs for the associations of PDa with breast cancer varied with representation and resolution. PDa is a valid automated breast density measurement for a specific FFDM technology and compares well against PD (operator-assisted or the standard) when applied to either the raw-transformed or clinical display images from this FFDM technology.
A method of assessing breast density for breast cancer risk applications, comprising:
A method of automatically measuring breast density (PDa), comprising:
A computer implemented method of determining breast density, comprising:
Dependencies are inferred from the claim text.