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Sparsity transform k-t principal component analysis for accelerating cine three-dimensional flow measurements.

Authors
  • Knobloch, Verena
  • Boesiger, Peter
  • Kozerke, Sebastian
Type
Published Article
Journal
Magnetic Resonance in Medicine
Publisher
Wiley (John Wiley & Sons)
Publication Date
Jul 01, 2013
Volume
70
Issue
1
Pages
53–63
Identifiers
DOI: 10.1002/mrm.24431
PMID: 22887065
Source
Medline
License
Unknown

Abstract

Time-resolved three-dimensional flow measurements are limited by long acquisition times. Among the various acceleration techniques available, k-t methods have shown potential as they permit significant scan time reduction even with a single receive coil by exploiting spatiotemporal correlations. In this work, an extension of k-t principal component analysis is proposed utilizing signal differences between the velocity encodings of three-directional flow measurements to further compact the signal representation and hence improve reconstruction accuracy. The effect of sparsity transform in k-t principal component analysis is demonstrated using simulated and measured data of the carotid bifurcation. Deploying sparsity transform for 8-fold undersampled simulated data, velocity root-mean-square errors were found to decrease by 52 ± 14%, 59 ± 11%, and 16 ± 32% in the common, external, and internal carotid artery, respectively. In vivo, errors were reduced by 15 ± 17% in the common carotid artery with sparsity transform. Based on these findings, spatial resolution of three-dimensional flow measurements was increased to 0.8 mm isotropic resolution with prospective 8-fold undersampling and sparsity transform k-t principal component analysis reconstruction. Volumetric data were acquired in 6 min. Pathline visualization revealed details of helical flow patterns partially hidden at lower spatial resolution.

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