- -

High-performance reconstruction of CT medical images by using out-of-core methods in GPU

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

  • Estadisticas de Uso

High-performance reconstruction of CT medical images by using out-of-core methods in GPU

Show full item record

Quintana-Ortí, G.; Chillarón-Pérez, M.; Vidal-Gimeno, V.; Verdú Martín, GJ. (2022). High-performance reconstruction of CT medical images by using out-of-core methods in GPU. Computer Methods and Programs in Biomedicine. 218:1-11. https://doi.org/10.1016/j.cmpb.2022.106725

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/194678

Files in this item

Item Metadata

Title: High-performance reconstruction of CT medical images by using out-of-core methods in GPU
Author: Quintana-Ortí, Gregorio CHILLARÓN-PÉREZ, MÓNICA Vidal-Gimeno, Vicente-Emilio Verdú Martín, Gumersindo Jesús
UPV Unit: Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials
Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Issued date:
Abstract:
[EN] Background and objective: Since Computed Tomography (CT) is one of the most widely used medical imaging tests, it is essential to work on methods that reduce the radiation the patient is exposed to. Although there are ...[+]
Subjects: CT , QR factorization , Medical image , Reconstruction , Out-of-core , HPC , GPU
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Computer Methods and Programs in Biomedicine. (issn: 0169-2607 )
DOI: 10.1016/j.cmpb.2022.106725
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.cmpb.2022.106725
Project ID:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098156-B-C54/ES/TECNICAS PARA LA ACELERACION Y MEJORA DE APLICACIONES MULTIMEDIA Y HPC/
info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//PROMETEO%2F2018%2F035//BIOINGENIERIA DE LAS RADIACIONES IONIZANTES. BIORA/
info:eu-repo/grantAgreement/GVA//ACIF%2F2017%2F075//AYUDA PREDOCTORAL CONSELLERIA-CHILLARON PEREZ/
Thanks:
This research has been supported by the "Universitat Politecnica de Valencia", "Generalitat Valenciana" under PROMETEO/2018/035 and ACIF/2017/075, co-financed by FEDER and FSE funds, and the "Spanish Ministry of Science, ...[+]
Type: Artículo

recommendations

 

This item appears in the following Collection(s)

Show full item record