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Head trauma and concussion in football players have recently received considerable media attention. Postmortem evidence suggests that accrual of damage to the brain may occur with repeated blows to the head, even when the individual blows fail to produce clinical symptoms. There is an urgent need for improved detection and characterization of head trauma to(More)
Concussion is a growing public health issue in the United States, and chronic traumatic encephalopathy (CTE) is the chief long-term concern linked to repeated concussions. Recently, attention has shifted toward subconcussive blows and the role they may play in the development of CTE. We recruited a cohort of high school football players for two seasons of(More)
PURPOSE To introduce a respiratory-gated high-spatiotemporal-resolution dynamic-contrast-enhanced MRI technique and a high-temporal-resolution aortic input function (HTR-AIF) estimation method for glomerular filtration rate (GFR) assessment in children. METHODS A high-spatiotemporal-resolution DCE-MRI method with view-shared reconstruction was modified to(More)
Magnetic resonance imaging (MRI) is a powerful non-invasive medical imaging technique that encodes the mechanical, physiological and chemical structure of soft tissues. However, manual segmentation of tissue regions of interest (ROIs) can be a laborious process prone to operator error. In this project, we compared algorithms from 3 classes of supervised(More)
PURPOSE To introduce and evaluate a fully automated renal segmentation technique for glomerular filtration rate (GFR) assessment in children. METHODS An image segmentation method based on iterative graph cuts (GrabCut) was modified to work on time-resolved 3D dynamic contrast-enhanced MRI data sets. A random forest classifier was trained to further(More)
PURPOSE To develop a novel multiresolution MRI methodology for accurate estimation of glomerular filtration rate (GFR) in vivo. MATERIALS AND METHODS A three-dimensional golden-angle radial stack-of-stars (SoS) trajectory was used for data acquisition on a 3 Tesla MRI scanner. Multiresolution reconstruction and analysis was performed using arterial input(More)
Optical character recognition (OCR) is an open problem and continues to be a challenging problem in academia. In this paper, we proposed and implemented a text detection framework which could be run on mobile platforms. We evaluated two methods Segmentation by dilation and Smart Segmentation that would effectively isolate text at different distances. We(More)
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