Background and Purpose To assess the prevalence of asymptomatic abnormalities on magnetic resonance imaging of the brain and their possible relation to hypertension, heart disease, and carotid artery disease, we studied 77 randomly selected subjects (mean age, 65.1 years; range, 36 to 95 years) with no history of focal brain lesions. Methods The study protocol included magnetic resonance imagin...

We present an algorithm for creating high resolution anatomically plausible images consistent with acquired clinical brain MRI scans with large inter-slice spacing. Although large databases of clinical images contain a wealth of information, medical acquisition constraints result in sparse scans that miss much of the anatomy. These characteristics often render computational analysis impractical...

Background—Limited information is available about potentially changing and contemporary trends in the incidence and hospital death rates of cardiogenic shock complicating acute myocardial infarction. The objectives of our study were to examine 3-decade-long trends (1975 to 2005) in the incidence rates of cardiogenic shock complicating acute myocardial infarction, patient characteristics and tre...

PURPOSE/OBJECTIVES To provide an overview of current issues surrounding the prevention of and screening for lung, breast, cervical, colorectal, ovarian, prostate, and skin cancer. DATA SOURCES Original research, review articles, and published guidelines. DATA SYNTHESIS Although morbidity and mortality rates have decreased for these cancers, prevention and early detection still require incre...

Reliable execution and analysis of an evolutionary algorithm (EA) normally requires many runs to provide reasonable assurance that stochastic effects have been properly considered. One of the first stochastic influences on the behavior of an EA is the population initialization. This has been recognized as a potentially serious problem to the performance of EAs but little progress has been made ...