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Frequent advances in transducer design, electronics, computers, and signal processing have improved the quality of ultrasound images to the extent that sonography is now a major mode of imaging for the clinical diagnosis of breast cancer. Breast ultrasound is routinely used for differentiating cysts and solid nodules with high specificity. In combination(More)
PURPOSE To test the hypothesis that rapid and accurate performance of the proficient observer in mammogram interpretation involves a shift in the mechanism of image perception from a relatively slow search-to-find mode to a relatively fast holistic mode. MATERIALS AND METHODS This HIPAA-compliant study had institutional review board approval, and(More)
RATIONALE AND OBJECTIVES Mammographers map endogenous and exogenous factors into decisions whether to report the presence of a malignant finding in a mammogram case. Thus, to understand how image-based elements are translated into observer-based decisions, the authors used spatial frequency analysis to model the areas on mammograms that attracted visual(More)
Breast ultrasound (US) in conjunction with digital mammography has come to be regarded as the gold standard for breast cancer diagnosis. While breast US has certain advantages over digital mammography, it suffers from image artifacts such as posterior acoustic shadowing (PAS), presence of which often obfuscates lesion margins. Since classification of(More)
In this paper we propose an atlas-aided probabilistic model-based segmentation method for estimating the fibroglandular tissue in breast MRI, where a novel fibroglandular tissue atlas is learned to aid the segmentation. The atlas represents a pixel-wise likelihood of being fibroglandular tissue in the breast, which is derived by combining deformable image(More)
The cathode ray tube of a workstation for use with digital mammograms was calibrated with a photometer to produce an input-output characteristic curve similar to the perceptually linear curve defined by a current display standard. Then, a test pattern consisting of bars of increasing intensity containing disks of decreasing contrast was used by an observer(More)
We present a fully automated method for deriving quantitative measures of background parenchymal enhancement (BPE) from breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and perform a preliminary evaluation of these measures to assess the effect of risk-reducing salpingo-oophorectomy (RRSO) in a cohort of breast cancer susceptibility(More)
PURPOSE To evaluate DRAMMS, an attribute-based deformable registration algorithm, compared to other intensity-based algorithms, for longitudinal breast MRI registration, and to show its applicability in quantifying tumor changes over the course of neoadjuvant chemotherapy. METHODS Breast magnetic resonance images from 14 women undergoing neoadjuvant(More)
To the Editor: Eastern equine encephalitis virus (EEEV) is an arbovirus (family Togaviridae, genus Alpha-virus) transmitted to humans primarily from Aedes, Coquil-lettidia, and Culex mosquitoes. EEEV is maintained in a transmission cycle between Culiseta melanura mosquitoes and birds in freshwater hardwood swamps (1). Affected humans and horses are(More)