A5008754293- Computer Graphics and Visualization Techniques
- Data Visualization and Analytics
- Cell Image Analysis Techniques
- Advanced Vision and Imaging
- 3D Shape Modeling and Analysis
- Advanced Fluorescence Microscopy Techniques
- Medical Image Segmentation Techniques
- Geological Modeling and Analysis
- Scientific Computing and Data Management
- Fluid Dynamics and Turbulent Flows
- Meteorological Phenomena and Simulations
- Neural dynamics and brain function
- Advanced Electron Microscopy Techniques and Applications
- Optical measurement and interference techniques
- Advanced Image and Video Retrieval Techniques
- Image Enhancement Techniques
- Oceanographic and Atmospheric Processes
- Computational Geometry and Mesh Generation
- Functional Brain Connectivity Studies
- Image and Signal Denoising Methods
- Data Management and Algorithms
- Medical Imaging Techniques and Applications
- Advanced Numerical Analysis Techniques
- 3D Surveying and Cultural Heritage
- Seismic Imaging and Inversion Techniques
King Abdullah University of Science and Technology
2016-2025
Computing Center
2019-2023
Kootenay Association for Science & Technology
2011-2023
University of Science and Technology
2011-2023
Aarhus University
2022
Bridge University
2021
Robert Bosch (Australia)
2021
The University of Sydney
2021
VRVis GmbH (Austria)
2004-2011
Harvard University
2011
Abstract A central topic in scientific visualization is the transfer function (TF) for volume rendering. The TF serves a fundamental role translating scalar and multivariate data into color opacity to express reveal relevant features present studied. Beyond this core functionality, TFs also serve as tool encoding utilizing domain knowledge an expression visual design of material appearances. enable interactive volumetric exploration complex data. purpose state‐of‐the‐art report (STAR)...
Abstract This survey gives an overview of the current state art in GPU techniques for interactive large‐scale volume visualization. Modern this field have brought about a sea change how visualization and analysis giga‐, tera‐ petabytes data can be enabled on GPUs. In addition to combining parallel processing power GPUs with out‐of‐core methods streaming, major enabler interactivity is making both computational effort proportional amount resolution that actually visible screen, i.e....
With the rapid evolution in automation of serial electron microscopy life sciences, acquisition terabyte-sized datasets is becoming increasingly common. High resolution block-face imaging (SBEM) biological tissues offers opportunity to segment and reconstruct nanoscale structures reveal spatial features previously inaccessible with simple, single section, two-dimensional images. In particular, we focussed here on glial cells, whose reconstruction efforts literature are still limited,...
Image and video data analysis has become an increasingly important research area with applications in different domains such as security surveillance, healthcare, augmented virtual reality, image editing, activity recognition, synthetic content generation, distance education, telepresence, remote sensing, sports analytics, art, non-photorealistic rendering, search engines, social media. Recent advances Artificial Intelligence (AI) particularly deep learning have sparked new challenges led to...
One of the most important goals in volume rendering is to be able visually separate and selectively enable specific objects interest contained a single volumetric data set, which can approached by using explicit segmentation information. We show how segmented sets rendered interactively on current consumer graphics hardware with high image quality pixel-resolution filtering object boundaries. In order enhance perception, we employ different levels distinction. First, each assigned an...
Surgical approaches tailored to an individual patient's anatomy and pathology have become standard in neurosurgery. Precise preoperative planning of these procedures, however, is necessary achieve optimal therapeutic effect. Therefore, multiple radiological imaging modalities are used prior surgery delineate the anatomy, neurological function, metabolic processes. Developing a three-dimensional perception surgical approach, traditionally still done by mentally fusing modalities. Concurrent...
Volume raycasting techniques are important for both visual arts and visualization. They allow an efficient generation of effects the visualization scientific data obtained by tomography or numerical simulation. Thanks to their flexibility, experts agree that GPU-based is state-of-the art technique interactive volume rendering. It will most likely replace existing slice-based in near future. rendering also effective direct implicit surfaces used soft body animation constructive solid geometry.
This paper presents the first volume visualization system that scales to petascale volumes imaged as a continuous stream of high-resolution electron microscopy images. Our architecture dense, anisotropic because it: (1) decouples construction 3D multi-resolution representation required for from data acquisition, and (2) sample access time during ray-casting size hierarchy. is designed around scalable virtual memory handles missing naturally, does not pre-compute any such an octree, can...
We present NeuroLines, a novel visualization technique designed for scalable detailed analysis of neuronal connectivity at the nanoscale level. The topology 3D brain tissue data is abstracted into multi-scale, relative distance-preserving subway map that allows domain scientists to conduct an interactive neurons and their connectivity. Nanoscale connectomics aims reverse-engineering wiring brain. Reconstructing analyzing neurites (axons, dendrites) will be crucial understanding its...
Abstract The Red Sea, home to the second-longest coral reef system in world, is a vital resource for Kingdom of Saudi Arabia. Sea provides 90% Kingdom’s potable water by desalinization, supporting tourism, shipping, aquaculture, and fishing industries, which together contribute about 10%–20% country’s GDP. All these activities, those elsewhere region, critically depend on oceanic atmospheric conditions. At time mega-development projects along coast, global warming, authorities are working...
Data sets imaged with modern electron microscopes can range from tens of terabytes to about one petabyte. Two new tools, Ssecrett and NeuroTrace, support interactive exploration analysis large-scale optical-and electron-microscopy images help scientists reconstruct complex neural circuits the mammalian nervous system.
This paper presents ConnectomeExplorer, an application for the interactive exploration and query-guided visual analysis of large volumetric electron microscopy (EM) data sets in connectomics research. Our system incorporates a knowledge-based query algebra that supports specification dynamically evaluated queries, which enable neuroscientists to pose answer domain-specific questions intuitive manner. Queries are built step by builder, building more complex queries from combinations simpler...
This paper presents Abstractocyte, a system for the visual analysis of astrocytes and their relation to neurons, in nanoscale volumes brain tissue. Astrocytes are glial cells, i.e., non-neuronal cells that support neurons nervous system. The study has immense potential understanding function. However, complex widely-branching structure requires high-resolution electron microscopy imaging makes visualization challenging. Furthermore, function is very different from therefore development new...
Deep shadow maps unify the computation of volumetric and geometric shadows. For each pixel in map, a fractional visibility function is sampled, pre-filtered, compressed as piecewise linear function. However, original implementation targets software-based off-line rendering. Similar previous algorithms on GPUs focus shadows lose many important benefits concept. We for interactive direct volume rendering, where currently either compute additional per-voxel data, or employ half-angle slicing to...
Recent advances in scanning technology provide high resolution EM (Electron Microscopy) datasets that allow neuro-scientists to reconstruct complex neural connections a nervous system. However, due the enormous size and complexity of resulting data, segmentation visualization processes data is usually difficult very time-consuming task. In this paper, we present NeuroTrace, novel volume system consists two parts: semi-automatic multiphase level set with 3D tracking for reconstruction...
This paper presents a novel method for interactive exploration of industrial CT volumes such as cast metal parts, with the goal interactively detecting, classifying, and quantifying features using visualization-driven approach. The standard approach defect detection builds on region growing, which requires manually tuning parameters target ranges density size, variance, well specification seed points. If results are not satisfactory, growing must be performed again different parameters. In...
We present a novel integrated visualization system that enables interactive visual analysis of ensemble simulations the sea surface height is used in ocean forecasting. The position eddies can be derived directly from and our approach their exploration analysis.The behavior important different application settings which we two this paper. First, show an for planning placement as well operation off-shore structures using real-world simulation data Gulf Mexico. Off-shore structures, such those...
In the field of connectomics, neuroscientists acquire electron microscopy volumes at nanometer resolution in order to reconstruct a detailed wiring diagram neurons brain. The resulting image volumes, which often are hundreds terabytes size, need be segmented identify cell boundaries, synapses, and important organelles. However, segmentation process single volume is very complex, time-intensive, usually performed using diverse set tools many users. To tackle associated challenges, this paper...
Recent advances in data acquisition produce volume of very high resolution and large size, such as terabyte-sized microscopy volumes. These often contain many fine intricate structures, which pose huge challenges for rendering, make it particularly important to efficiently skip empty space. This paper addresses two major challenges: (1) The complexity volumes containing structures leads highly fragmented space subdivisions that regions hard efficiently. (2) classification into non-empty...
Recent advances in high-resolution microscopy let neuroscientists acquire neural-tissue volume data of extremely large sizes. However, the tremendous resolution and high complexity neural structures present big challenges to storage, processing, visualization at interactive rates. A proposed system provides exploration petascale (petavoxel) volumes resulting from high-throughput electron streams. The can concurrently handle multiple support simultaneous voxel segmentation data. Its...