Tag: medical imaging
TED Video: Visualizing the medical data explosion
Today medical scans produce thousands of images and terabytes of data for a single patient in mere seconds, but how do doctors parse this information and determine what’s useful? At TEDxGöteborg, scientific visualization expert Anders Ynnerman shows us sophisticated new tools — like virtual autopsies — for analyzing this myriad data, and a glimpse at some sci-fi-sounding medical technologies in development. This talk contains some graphic medical imagery.
GPU-accelerated elastic 3D image registration for intra-surgical applications
The graphics processing unit (GPU) can be used to accelerate the calculation of such elastic registrations by using its parallel processing power, and by employing the hardwired tri-linear interpolation capabilities in order to efficiently perform the cubic B-spline evaluation. In this article it is shown that the similarity measure and its derivatives also can be calculated on the GPU, using a two pass approach.
Novel electron tomography software using multi-GPUs
Shortly after its commercial release in May 2010, Digisens is pleased to announce the growing success of its novel electron tomography software DigiECT, which is the result of a two-year fruitful collaboration with Dr. Sergio Marco, Research Director Inserm U759, Institut Curie, Orsay, France. Moreover, DigiECT has been recently adopted by IPCMS-CNRS, a french nanotechnology institute based in Strasbourg, along with two other well-renowned research centers.
GPGPU computation and visualization of 3D cellular automata
This paper by Stephane Gobron et al presents a general-purpose simulation approach integrating a set of technological developments and algorithmic methods in cellular automata (CA) domain. The approach provides a general-purpose computing on graphics processor units (GPGPU) implementation for computing and multiple rendering of any direct-neighbor three-dimensional (3D) CA.
Volume Visualization: A Technical Overview with a Focus on Medical Applications
Over the past two decades, a number of new algorithms and improvements have been developed for practical clinical image display. More recently, further efficiencies have been attained by designing and implementing volume-rendering algorithms on graphics processing units (GPUs). In this paper, authors review volumetric image visualization pipelines, algorithms, and medical applications.
