Comparison of different compressed sensing algorithms for low SNR19F MRI applications-Imaging of transplanted pancreatic islets and cells labeled with perfluorocarbons-Reference-Cited by-同舟云学术

Comparison of different compressed sensing algorithms for low SNR19F MRI applications-Imaging of transplanted pancreatic islets and cells labeled with perfluorocarbons

Published:2017-08-25 Issue:11 Volume:30 Page:e3776
ISSN:0952-3480
Container-title:NMR in Biomedicine
language:en
Short-container-title:NMR in Biomedicine

Author:

Liang Sayuan¹²,Dresselaers Tom¹³,Louchami Karim¹⁴,Zhu Ce⁵,Liu Yipeng⁵,Himmelreich Uwe¹^ORCID

Affiliation:

1. Biomedical MRI, Department of Imaging and Pathology; University of Leuven; Leuven Belgium

2. Bio-Imaging Lab, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences; University of Antwerp; Antwerp Belgium

3. Department of Radiology; Universitair Ziekenhuis Leuven; Leuven Belgium

4. Laboratory of Experimental Hormonology; Université Libre de Bruxelles; Bruxelles Belgium

5. School of Electronic Engineering/Center for Information in Medicine/Center for Robotics; University of Electronic Science and Technology of China (UESTC); Chengdu China

Funder

Fonds Wetenschappelijk Onderzoek

University of Leuven

Agentschap voor Innovatie door Wetenschap en Technologie

European Commission Horizon 2020

Publisher

Wiley

Subject

Spectroscopy,Radiology Nuclear Medicine and imaging,Molecular Medicine

Reference54 articles.

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2. Current status and future of clinical islet xenotransplantation;Matsumoto;J Diabetes,2016