Parenchymal texture analysis in digital mammography: robust texture feature identification and equivalence across devices
نویسندگان
چکیده
منابع مشابه
Parenchymal texture analysis in digital mammography: robust texture feature identification and equivalence across devices.
An analytical framework is presented for evaluating the equivalence of parenchymal texture features across different full-field digital mammography (FFDM) systems using a physical breast phantom. Phantom images (FOR PROCESSING) are acquired from three FFDM systems using their automated exposure control setting. A panel of texture features, including gray-level histogram, co-occurrence, run leng...
متن کاملTexture feature standardization in digital mammography for improving generalizability across devices
Growing evidence suggests a relationship between mammographic texture and breast cancer risk. For studies performing texture analysis on digital mammography (DM) images from various DM systems, it is important to evaluate if different systems could introduce inherent differences in the images analyzed and how to construct a methodological framework to identify and standardize such effects, if t...
متن کاملAnalysis of parenchymal texture with digital breast tomosynthesis: comparison with digital mammography and implications for cancer risk assessment.
PURPOSE To correlate the parenchymal texture features at digital breast tomosynthesis (DBT) and digital mammography with breast percent density (PD), an established breast cancer risk factor, in a screening population of women. MATERIALS AND METHODS This HIPAA-compliant study was approved by the institutional review board. Bilateral DBT images and digital mammograms from 71 women (mean age, 5...
متن کاملTexture Descriptors applied to Digital Mammography
Breast cancer is the second cause of death among women cancers. Computer Aided Detection has been demonstrated an useful tool for early diagnosis, a crucial aspect for a high survival rate. In this context, several research works have incorporated texture features in mammographic image segmentation and description such as Gray-Level co-occurrence matrices, Local Binary Patterns, and many others...
متن کاملParenchymal texture analysis in digital breast tomosynthesis for breast cancer risk estimation: a preliminary study.
RATIONALE AND OBJECTIVES Studies have demonstrated a relationship between mammographic parenchymal texture and breast cancer risk. Although promising, texture analysis in mammograms is limited by tissue superposition. Digital breast tomosynthesis (DBT) is a novel tomographic x-ray breast imaging modality that alleviates the effect of tissue superposition, offering superior parenchymal texture v...
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ژورنال
عنوان ژورنال: Journal of Medical Imaging
سال: 2015
ISSN: 2329-4302
DOI: 10.1117/1.jmi.2.2.024501