Tag: medical imaging
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.
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.
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.
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.
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.