Title
Iterative reconstruction of CT images on GPUs
Date Issued
31 October 2013
Access level
metadata only access
Resource Type
conference paper
Author(s)
Universidad Politécnica de Valencia
Abstract
Although widely used in nuclear medicine (gamma-camera, single photon emission computed tomography (SPECT), positron emission tomography (PET)), iterative reconstruction has not yet penetrated in CT. The main reason for this is that data sets in CT are much larger than in nuclear medicine and iterative reconstruction then becomes computationally very intensive. Graphical Processing Units (GPUs) provide the possibility to reduce effectively the high computational cost of their implementation. It is the goal of this work to develop a GPU-based algorithm to reconstruct high quality images from under sampled and noisy projection data. © 2013 IEEE.
Start page
5143
End page
5146
Language
English
OCDE Knowledge area
Ingeniería médica
Radiología, Medicina nuclear, Imágenes médicas
Scopus EID
2-s2.0-84886548260
PubMed ID
Source
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Resource of which it is part
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN of the container
1557170X
ISBN of the container
978-145770216-7
Conference
2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
Sources of information:
Directorio de Producción Científica
Scopus