Skip navigation


  • DSpace logo
  • Home
  • Collections
  • Researcher Profile
  • Explore by
    • Researcher Profile
  • VGU library
  • Help
  • User Guide
  • Sign on to:
    • My DSpace
    • Receive email
      updates
    • Edit Account details

VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/585
DC FieldValueLanguage
dc.contributor.authorNguyen Bao Lamen_US
dc.date.accessioned2020-03-12T17:04:35Z-
dc.date.available2020-03-12T17:04:35Z-
dc.date.issued2016-
dc.identifier.urihttp://epub.vgu.edu.vn/handle/dlibvgu/585-
dc.description.abstractMagnetic resonance imaging (MRI) is an effective technique used in radiology to image the anatomy and the physiological processes of the body in both health and disease. Functional magnetic resonance imaging or functional MRI (FMRI) is a functional neuroimaging procedure using MR1 technology that measures brain activity by detecting changes associated with blood flow. This thesis conveys a literature review of MR! and fMRI as well as the method for reconstructing undersampled images. The chosen method is Compressed Sensing, which in theory is able to perfectly reconstruct signals with sampling rates dramatically smaller than the Nyquist sampling rate by exploiting the sparsity of signals. In the scope of this thesis, the main focus is to evaluate the effectiveness of compressed sensing implemented in MR1 and MR'. The evaluation will be done and demonstrated with MATLAB and the algorithm used for Compressed Sensing is the k-t FOCUSS.en_US
dc.language.isoenen_US
dc.publisherVietnamese-German Universityen_US
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectMagnetic resonance imaging (MRI)en_US
dc.subjectFunctional magnetic resonance imaging (FMRI)en_US
dc.subjectK-t FOCUSSen_US
dc.subjectBasis pursuiten_US
dc.subjectCompressed sensingen_US
dc.titleCompressed sensing in magnetic resonance imagingen_US
dc.typeThesisen_US
item.fulltextWith Fulltext-
item.languageiso639-1other-
item.grantfulltextrestricted-
Appears in Collections:Electrical Engineering and Information Technology (EEIT)
Files in This Item:
File Description SizeFormat Existing users please Login
Compressed sensing in magnetic resonance imaging.pdf190.78 MBAdobe PDF
Show simple item record

Page view(s)

75
checked on Aug 23, 2025

Download(s)

23
checked on Aug 23, 2025

Google ScholarTM

Check


This item is licensed under a Creative Commons License Creative Commons

© Copyright 2020 by Vietnamese - German University Library.
Add: Ring road 4, Quarter 4, Thoi Hoa Ward, Ben Cat City, Binh Duong Province
Tel.:(0274) 222 0990. Ext.: 70206