Contributions to Signal Processing for MRI

Contributions to Signal Processing for MRI

Magnetic Resonance Imaging (MRI) is an important diagnostic tool for imaging soft tissue without the use of ionizing radiation. Moreover, through advanced signal processing, MRI can provide more than just anatomical information, such as estimates of tissue-specific physical properties. Signal proces...

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Bibliographic Details
Main Author: Björk, Marcus
Format: Doctoral Thesis
Language:English
Published: Uppsala universitet, Avdelningen för systemteknik 2015
Subjects:
Parameter estimation
efficient estimation algorithms
non-convex optimization
multicomponent T2 relaxometry
artifact reduction
T2 mapping
denoising
phase estimation
RF design
MR thermometry
in-vivo brain
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-246537
http://nbn-resolving.de/urn:isbn:978-91-554-9204-5

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-246537
http://nbn-resolving.de/urn:isbn:978-91-554-9204-5

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