H. LEE MOFFITT CANCER CENTER AND RESEARCH INSTITUTE, INC.;MAYO FOUNDATION FOR MEDICAL EDUCATION AND RESEARCH
发明人:
John J. Heine,Thomas A. Sellers,Celine M. Vachon,Erin E. Fowler
申请号：
US14893603
公开号：
US20160110863A1
申请日:
2014.05.30
申请国别(地区):
US
年份:
2016
代理人:
摘要：
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.
