We present an algorithm for adaptively extracting and rendering isosurfaces from compressed time-varying volume data sets. Tetrahedral meshes defined by longest edge bisection are used to create a multiresolution representation of the volume in the spatial domain that is adapted over time to approximate the time-varying volume. The reextraction of the isosurface at each time step is accelerated with the vertex programming capabilities of modern graphics hardware. A data layout scheme which follows the access pattern indicated by mesh refinement is used to access the volume in a spatially and temporally coherent manner. This data layout scheme allows our algorithm to be used for out-of-core visualization.
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http://dx.doi.org/10.1109/TVCG.2004.35 | DOI Listing |
Genes (Basel)
December 2024
Cognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY 10032, USA.
Background: Sleep plays a crucial role in cognitive performance and cognitive changes in aging. In the current study, we investigated the role of sleep duration genetics in cognitive changes over time and the moderating effect of age.
Methods: Participants were drawn from the Reference Abilities Neural Network and the Cognitive Reserve studies of Columbia University.
Proc IEEE Int Symp Biomed Imaging
May 2024
Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA.
Real-time dynamic MRI is important for visualizing time-varying processes in several applications, including cardiac imaging, where it enables free-breathing images of the beating heart without ECG gating. However, current real-time MRI techniques commonly face challenges in achieving the required spatio-temporal resolutions due to limited acceleration rates. In this study, we propose a deep learning (DL) technique for improving the estimation of stationary outer-volume signal from shifted time-interleaved undersampling patterns.
View Article and Find Full Text PDFBMC Nephrol
January 2025
Fresenius Medical Care Deutschland GmbH, Bad Homburg, Hessen, Germany.
Background: Results from the CONVINCE clinical trial suggest a 23% mortality risk reduction among patients receiving high-volume (> 23 L) hemodiafiltration. We assessed the real-world effectiveness of blood-based kidney replacement therapy (KRT) with hemodiafiltration vs. hemodialysis in a large, unselected patient population treated prior to and during the COVID-19 pandemic.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA 30322, USA.
Understanding sleep stages is crucial for diagnosing sleep disorders, developing treatments, and studying sleep's impact on overall health. With the growing availability of affordable brain monitoring devices, the volume of collected brain data has increased significantly. However, analyzing these data, particularly when using the gold standard multi-lead electroencephalogram (EEG), remains resource-intensive and time-consuming.
View Article and Find Full Text PDFEpidemiology
December 2024
Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK.
Background: Children with cystic fibrosis (CF) from socioeconomically deprived areas have poorer growth, worse lung function, and shorter life expectancy than their less-deprived peers. While early growth is associated with lung function around age 6, it is unclear whether improving early growth in the most deprived children reduces inequalities in lung function.
Methods: We used data from the UK CF Registry, tracking children born 2000-2010 up to 2016.
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