This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Interactive visualization of large volume data sets is a very important research problem and is critical in a number of application domains in scientific visualization and medical imaging. A major challenge in volume visualization is to overcome scalability problems associated with very large data sets that can reach thousands of samples in each dimension, and thus due to the exponential growth of the volume data result in intractable size. Therefore, it is critical to develop rendering algorithms and systems that scale well with size while maintaining interactive frame rates at high display quality. Direct volume rendering is amid the most effective and direct techniques to get insight into the 3D structure of volumetric scalar field data set. In this project we will develop a novel high-quality and efficient interactive direct volume rendering approach based on hardware accelerated point splatting. In particular, it includes the investigation and analysis of blending functions for smooth interpolation of the voxel grid, and the development of multiresolution volume models and error metrics for efficient level-ofdetail (LOD) based rendering. Furthermore, we will implement our volume rendering techniques on top of a scalable cluster rendering system. This research project will result in a novel and fast volume visualization technique that allows LOD-based direct volume rendering and isosurface visualization as well as support shading. Through hardware accelerated splatting we will achieve interactive frame rates, and the hierarchical organization as well as the cluster rendering system will provide scalability to large data sets.
Green, Shulamite A; Hernandez, Leanna M; Bowman, Hilary C et al. (2018) Sensory over-responsivity and social cognition in ASD: Effects of aversive sensory stimuli and attentional modulation on neural responses to social cues. Dev Cogn Neurosci 29:127-139 |
Yang, Yaling; Joshi, Shantanu H; Jahanshad, Neda et al. (2017) Neural correlates of proactive and reactive aggression in adolescent twins. Aggress Behav 43:230-240 |
Dennis, Emily L; Rashid, Faisal; Faskowitz, Josh et al. (2017) MAPPING AGE EFFECTS ALONG FIBER TRACTS IN YOUNG ADULTS. Proc IEEE Int Symp Biomed Imaging 2017:101-104 |
Walsh, Christine M; Ruoff, Leslie; Walker, Kathleen et al. (2017) Sleepless Night and Day, the Plight of Progressive Supranuclear Palsy. Sleep 40: |
Green, Shulamite A; Hernandez, Leanna; Bookheimer, Susan Y et al. (2017) Reduced modulation of thalamocortical connectivity during exposure to sensory stimuli in ASD. Autism Res 10:801-809 |
Agis, Daniel; Goggins, Maria B; Oishi, Kumiko et al. (2016) Picturing the Size and Site of Stroke With an Expanded National Institutes of Health Stroke Scale. Stroke 47:1459-65 |
Levine, Andrew J; Soontornniyomkij, Virawudh; Achim, Cristian L et al. (2016) Multilevel analysis of neuropathogenesis of neurocognitive impairment in HIV. J Neurovirol 22:431-41 |
Flournoy, John C; Pfeifer, Jennifer H; Moore, William E et al. (2016) Neural Reactivity to Emotional Faces May Mediate the Relationship Between Childhood Empathy and Adolescent Prosocial Behavior. Child Dev 87:1691-1702 |
Joshi, Shantanu H; Vizueta, Nathalie; Foland-Ross, Lara et al. (2016) Relationships Between Altered Functional Magnetic Resonance Imaging Activation and Cortical Thickness in Patients With Euthymic Bipolar I Disorder. Biol Psychiatry Cogn Neurosci Neuroimaging 1:507-517 |
Ordóñez, Anna E; Loeb, Frances F; Zhou, Xueping et al. (2016) Lack of Gender-Related Differences in Childhood-Onset Schizophrenia. J Am Acad Child Adolesc Psychiatry 55:792-9 |
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