| Compressed sensing in dynamic MRI. | |
| | |
MedLine Citation:
|
PMID: 18228595 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
|
Recent theoretical advances in the field of compressive sampling-also referred to as compressed sensing (CS)-hold considerable promise for practical applications in MRI, but the fundamental condition of sparsity required in the CS framework is usually not fulfilled in MR images. However, in dynamic imaging, data sparsity can readily be introduced by applying the Fourier transformation along the temporal dimension assuming that only parts of the field-of-view (FOV) change at a high temporal rate while other parts remain stationary or change slowly. The second condition for CS, random sampling, can easily be realized by randomly skipping phase-encoding lines in each dynamic frame. In this work, the feasibility of the CS framework for accelerated dynamic MRI is assessed. Simulated datasets are used to compare the reconstruction results for different reduction factors, noise, and sparsity levels. In vivo cardiac cine data and Fourier-encoded velocity data of the carotid artery are used to test the reconstruction performance relative to k-t broad-use linear acquisition speed-up technique (k-t BLAST) reconstructions. Given sufficient data sparsity and base signal-to-noise ratio (SNR), CS is demonstrated to result in improved temporal fidelity compared to k-t BLAST reconstructions for the example data sets used in this work. |
| | |
Authors:
|
Urs Gamper; Peter Boesiger; Sebastian Kozerke |
Related Documents
:
|
20373405 - Dynamic contrast-enhanced mri in ovarian cancer: initial experience at 3 tesla in prima... 16143105 - Rab conversion as a mechanism of progression from early to late endosomes. 1584915 - Spiral ct of the thorax with reduced volume of contrast material: a comparative study. 8388005 - Intrahepatic peripheral cholangiocarcinoma: two-phased dynamic incremental ct and patho... 15290565 - Serious horse-riding accidents: imaging findings and evaluation with multi-slice ct. 22067635 - Mri parameters for prediction of multiple sclerosis diagnosis in children with acute cn... |
Publication Detail:
|
Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
|
Title: Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine Volume: 59 ISSN: 0740-3194 ISO Abbreviation: Magn Reson Med Publication Date: 2008 Feb |
Date Detail:
|
Created Date: 2008-02-04 Completed Date: 2008-04-25 Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 8505245 Medline TA: Magn Reson Med Country: United States |
Other Details:
|
Languages: eng Pagination: 365-73 Citation Subset: IM |
Copyright Information:
|
(c) 2008 Wiley-Liss, Inc. |
Affiliation:
|
Institute for Biomedical Engineering, University of Zurich and Swiss Federal Institute of Technology, Gloriastrasse 35, Zurich, Switzerland. |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
Algorithms Carotid Arteries / anatomy & histology* Computer Simulation Feasibility Studies Fourier Analysis Heart / anatomy & histology* Humans Image Processing, Computer-Assisted / methods* Magnetic Resonance Imaging / methods* Models, Theoretical |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Characterization of the dynamic shear properties of hyaline cartilage using high-frequency dynamic M...
Next Document: The molecular interactions that influence the plasticizer dependent dissolution of acrylic polymer f...