3D Visualization Module of Kuwait Geology Formations

SciVee ◽  
2010 ◽  
Author(s):  
Mohamamd Al-attar
Keyword(s):  
3D Visualization ◽  
Visualization Module

AVS/Express for the PC implementation of a 3D visualization module for radiotherapy

2000 ◽  
Vol 61 (2) ◽  
pp. 111-118 ◽  
Author(s):  
G Robineau ◽  
C Kappas ◽  
L Diot ◽  
J.C Rosenwald
Keyword(s):  
3D Visualization ◽  
Visualization Module

Alternative 2D and 3D Visualization Methods for Microsurgery: Posture, Performance, and Discomfort Analysis

2011 ◽  
Author(s):  
Denny Yu ◽  
Michael Sackllah ◽  
Charles Woolley ◽  
Steven Kasten ◽  
Thomas J. Armstrong
Keyword(s):  
3D Visualization ◽  
2D And 3D

INFLUENCES OF 3D VISUALIZATION AND FREE-POINT-VIEW TECHNOLOGYIES ON SPORTS VIEWING EXPERIENCES

2016 ◽  
Author(s):  
Jongho Kim ◽  
Yeayoung Noh ◽  
Yoonji Ryu ◽  
Carolyn Yoonhee Park ◽  
Choong Hoon Lim ◽  
...  
Keyword(s):  
3D Visualization

Extended Reach Horizontal Well Drilling and Placement Using 3D - Visualization and Integrated Geosteering Techniques

2008 ◽  
Author(s):  
Parvez Jamil Butt ◽  
Raza Hassan Sayed ◽  
Timothy George Day ◽  
Abdallah Mohammad Behair ◽  
Saleh M. Dossari
Keyword(s):  
Horizontal Well ◽  
3D Visualization ◽  
Well Drilling

Medicinal Chemistry Database GDBMedChem

2019 ◽  
Author(s):  
Mahendra Awale ◽  
Finton Sirockin ◽  
Nikolaus Stiefl ◽  
Jean-Louis Reymond
Keyword(s):  
Small Molecules ◽  
Natural Product ◽  
Medicinal Chemistry ◽  
3D Visualization ◽  
Molecular Size ◽  
Similarity Searching ◽  
Complex Molecules ◽  
Synthetic Accessibility ◽  
Simple Chemical ◽  
Reduced Complexity

<div>The generated database GDB17 enumerates 166.4 billion possible molecules up to 17 atoms of C, N, O, S and halogens following simple chemical stability and synthetic feasibility rules, however medicinal chemistry criteria are not taken into account. Here we applied rules inspired by medicinal chemistry to exclude problematic functional groups and complex molecules from GDB17, and sampled the resulting subset evenly across molecular size, stereochemistry and polarity to form GDBMedChem as a compact collection of 10 million small molecules.</div><div><br></div><div>This collection has reduced complexity and better synthetic accessibility than the entire GDB17 but retains higher sp 3 - carbon fraction and natural product likeness scores compared to known drugs. GDBMedChem molecules are more diverse and very different from known molecules in terms of substructures and represent an unprecedented source of diversity for drug design. GDBMedChem is available for 3D-visualization, similarity searching and for download at http://gdb.unibe.ch.</div>

X-Ray Nanotomography (XRMT) Tool for Non-Destructive High-Resolution Imaging of ICs

2001 ◽  
Author(s):  
Wenbing Yun ◽  
Steve Wang ◽  
David Scott ◽  
Kenneth W. Nill ◽  
Waleed S. Haddad
Keyword(s):  
High Resolution ◽  
Process Development ◽  
3D Visualization ◽  
Tomographic Reconstruction ◽  
Reconstruction Algorithms ◽  
X Ray ◽  
Visualization Software ◽  
Volumetric Reconstruction ◽  
Resolution Imaging ◽  
Non Destructive

Abstract A high-resolution table-sized x-ray nanotomography (XRMT) tool has been constructed that shows the promise of nondestructively imaging the internal structure of a full IC stack with a spatial resolution better than 100 nm. Such a tool can be used to detect, localize, and characterize buried defects in the IC. By collecting a set of X-ray projections through the full IC (which may include tens of micrometers of silicon substrate and several layers of Cu interconnects) and applying tomographic reconstruction algorithms to these projections, a 3D volumetric reconstruction can be obtained, and analyzed for defects using 3D visualization software. XRMT is a powerful technique that will find use in failure analysis and IC process development, and may facilitate or supplant investigations using SEM, TEM, and FIB tools, which generally require destructive sample preparation and a vacuum environment.

CPU-GPU Rendering of CT Scan Images for Vertebra Reconstruction from CT Scan Images with a Calibration Policy

2020 ◽  
pp. 1-5
Author(s):  
Usman Khan ◽  
Usman Khan ◽  
AmanUllah Yasin ◽  
Imran Shafi ◽  
Muhammad Abid
Keyword(s):  
3D Reconstruction ◽  
Ct Scan ◽  
Surface Reconstruction ◽  
3D Visualization ◽  
Cervical Vertebra ◽  
Marching Cubes ◽  
Affine Transform ◽  
Visualization Techniques ◽  
Visualization Algorithms ◽  
Gpu Implementation

In this work GPU implementation of classic 3D visualization algorithms namely Marching Cubes and Raycasting has been carried for cervical vertebra using VTK libraries. A proposed framework has been introduced for efficient and duly calibrated 3D reconstruction using Dicom Affine transform and Python Mayavi framework to address the limitation of benchmark visualization techniques i.e. lack of calibration, surface reconstruction artifacts and latency.

Remote Conference System with 3D Visualization Data

2005 ◽  
Vol 25 (Supplement1) ◽  
pp. 241-242
Author(s):  
Hideo MIYACHI ◽  
Taiki TANIMAE ◽  
Takehiro MATSUO ◽  
Nobuyuki OSHIMA
Keyword(s):  
3D Visualization ◽  
Conference System
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