Reduction of streak artifacts in radial MRI using CycleGAN

Reduction of streak artifacts in radial MRI using CycleGAN

One way of reducing the examination time in magnetic resonance imaging (MRI) is to reduce the amount of raw data acquired, by performing so-called undersampling. Conventionally, MRI data is acquired line-by-line on a Cartesian grid. In the field of Cardiovascular Magnetic Resonance (CMR), however, r...

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Bibliographic Details
Main Author: Ullvin, Amanda
Format: Others
Language:English
Published: KTH, Skolan för kemi, bioteknologi och hälsa (CBH) 2020
Subjects:
MRI
Cardiovascular
CMR
Medical Imaging
Radial k-space sampling
Sub-Nyquist sampling
Golden Angle
GRASP
Compressed Sensing
Artificial Intelligence
Neural Network
Deep Learning
GAN
CycleGAN
Medical Engineering
Medicinteknik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-284344

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-284344

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