Document Detail


High-frequency subband compressed sensing MRI using quadruplet sampling.
MedLine Citation:
PMID:  23280540     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
PURPOSE: To present and validate a new method that formalizes a direct link between k-space and wavelet domains to apply separate undersampling and reconstruction for high- and low-spatial-frequency k-space data.
THEORY AND METHODS: High- and low-spatial-frequency regions are defined in k-space based on the separation of wavelet subbands, and the conventional compressed sensing problem is transformed into one of localized k-space estimation. To better exploit wavelet-domain sparsity, compressed sensing can be used for high-spatial-frequency regions, whereas parallel imaging can be used for low-spatial-frequency regions. Fourier undersampling is also customized to better accommodate each reconstruction method: random undersampling for compressed sensing and regular undersampling for parallel imaging.
RESULTS: Examples using the proposed method demonstrate successful reconstruction of both low-spatial-frequency content and fine structures in high-resolution three-dimensional breast imaging with a net acceleration of 11-12.
CONCLUSION: The proposed method improves the reconstruction accuracy of high-spatial-frequency signal content and avoids incoherent artifacts in low-spatial-frequency regions. This new formulation also reduces the reconstruction time due to the smaller problem size.
Authors:
Kyunghyun Sung; Brian A Hargreaves
Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2012-12-27
Journal Detail:
Title:  Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine     Volume:  70     ISSN:  1522-2594     ISO Abbreviation:  Magn Reson Med     Publication Date:  2013 Nov 
Date Detail:
Created Date:  2013-10-29     Completed Date:  2014-06-06     Revised Date:  2014-11-04    
Medline Journal Info:
Nlm Unique ID:  8505245     Medline TA:  Magn Reson Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1306-18     Citation Subset:  IM    
Copyright Information:
Copyright © 2012 Wiley Periodicals, Inc.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Algorithms
Artifacts*
Breast Neoplasms / pathology*
Data Compression / methods*
Female
Humans
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Imaging, Three-Dimensional / methods
Magnetic Resonance Imaging / methods*
Reproducibility of Results
Sample Size
Sensitivity and Specificity
Signal Processing, Computer-Assisted*
Wavelet Analysis
Grant Support
ID/Acronym/Agency:
P41 RR009784/RR/NCRR NIH HHS; P41-EB015891/EB/NIBIB NIH HHS; R01 EB009055/EB/NIBIB NIH HHS; R01-EB009055/EB/NIBIB NIH HHS
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Biosurfactants in agriculture.
Next Document:  Quaternary structure effects on the hexacoordination equilibrium in rice hemoglobin rHb1: Insights f...