Sciweavers

Share
EGC
2005
Springer

Statistical Modeling and Segmentation in Cardiac MRI Using a Grid Computing Approach

11 years 6 months ago
Statistical Modeling and Segmentation in Cardiac MRI Using a Grid Computing Approach
Abstract. Grid technology is widely emerging as a solution for wide-spread applicability of computerized analysis and processing procedures in biomedical sciences. In this paper we show how a cardiac image analysis task can substantially benefit from Grids, making use of a middleware service tailored to the needs of common application tasks. In a first part we describe a methodology for the construction of three-dimensional (3D) statistical shape models of the heart, from a large image database of dynamic MRI studies. Non-rigid registration is needed for the automatic establishing of landmark correspondences across populations of healthy and diseased hearts; but when dealing with large databases, the computational load of current algorithms becomes a serious burden. Our Grid service API provided an easy way of taking benefit from our computing resources, by allowing for pipelining the distributed and non-distributed steps of the algorithm. As a second part of this work we show how t...
Sebastián Ordas, Hans C. van Assen, Loic Bo
Added 29 Jun 2010
Updated 29 Jun 2010
Type Conference
Year 2005
Where EGC
Authors Sebastián Ordas, Hans C. van Assen, Loic Boisrobert, Marcos Laucelli, Jesús Puente, Boudewijn P. F. Lelieveldt, Alejandro F. Frangi
Comments (0)
books