Paper Info
Title
Joint partial fourier and compressed sensing reconstruction for accelerated time-of-flight MR angiography.
Abstract
Time-of-flight (TOF) magnetic resonance (MR) angiography is a popular tool for non-contrast-enhanced angiographic imaging of intracranial vasculature. However, strategies that lead to enhancement of inflow effects come at the expense of prolonged scan times. This study proposes a combination of two dimensional (2D) acceleration in the phase-encode dimensions via compressed sensing (CS) and one dimensional (1D) partial Fourier (PF) data acquisition in the readout dimension to reduce echo time. An improved projections-onto-convex-sets (POCS) reconstruction framework is utilized, which decomposes the problem into 1D PF projections along the readout dimension, and 2D CS projections along the phase-encode dimensions. This framework enables scan-efficient TOF MR angiography imaging to help maintain high vessel-background contrast.
Year
Venue
Keywords
2018
Signal Processing and Communications Applications Conference
compressed sensing,TOF,partial Fourier reconstruction
Field
DocType
ISSN
Iterative reconstruction,Computer vision,Computer science,Data acquisition,Fourier transform,Acceleration,Artificial intelligence,Time of flight,Angiography,Compressed sensing,Magnetic resonance imaging
Conference
2165-0608
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Toygan Kilic100.68
Tolga Çukur2368.84
Oktay Algin300.34
Emine Ulku Saritas4192.73