- -

Comparison of the main magnetic resonance imaging acceleration strategies based on parallel imaging techniques

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

  • Estadisticas de Uso

Comparison of the main magnetic resonance imaging acceleration strategies based on parallel imaging techniques

Show full item record

Acebrón Fabregat, J.; Moratal Pérez, D.; Marti Bonmati, L.; Brummer, ME. (2011). Comparison of the main magnetic resonance imaging acceleration strategies based on parallel imaging techniques. IEEE Latin America Transactions. 9(1):15-24. doi:10.1109/TLA.2011.5876415

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/37939

Files in this item

Item Metadata

Title: Comparison of the main magnetic resonance imaging acceleration strategies based on parallel imaging techniques
Author: Acebrón Fabregat, Javier Moratal Pérez, David Marti Bonmati, Luis Brummer, Marijn Eduard
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Universitat Politècnica de València. Centro de Biomateriales e Ingeniería Tisular - Centre de Biomaterials i Enginyeria Tissular
Issued date:
Abstract:
[EN] The main parallel imaging techniques have been implemented under MATLAB (SENSE, PILS and SPACE-RIP for image domain, and SMASH and GRAPPA for k-space domain), evaluating its characteristics about image quality and ...[+]
Subjects: Acceleration techniques , GRAPPA , Magnetic resonance imaging , Parallel imaging , PILS , SENSE , SMASH , SPACE-RIP , Acceleration technique , Image quality , Magnetic domains , Resonance , Signal to noise ratio
Copyrigths: Cerrado
Source:
IEEE Latin America Transactions. (issn: 1548-0992 )
DOI: 10.1109/TLA.2011.5876415
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Publisher version: http://dx.doi.org/10.1109/TLA.2011.5876415
Project ID:
info:eu-repo/grantAgreement/NIH//R01HL077627/
Thanks:
Este trabajo ha sido financiado parcialmente por la beca NIH R01 HL077627 de los National Institutes of Health de Estados Unidos de América.
Type: Artículo

recommendations

 

This item appears in the following Collection(s)

Show full item record