Journal article
Ultrashort TE spectroscopic imaging (UTESI) using complex highly-constrained backprojection with local reconstruction (HYPR LR)
Magnetic resonance in medicine, Vol.62(1), pp.127-134
07/2009
DOI: 10.1002/mrm.21986
PMCID: PMC2770812
PMID: 19353656
Abstract
Recently, the highly-constrained backprojection (HYPR) and HYPR with local reconstruction (HYPR LR) methods have been introduced to reconstruct magnitude images from a series of highly undersampled data while preserving high spatial and temporal resolution and high signal-to-noise ratio (SNR) in applications with spatiotemporal correlations. However, these conventional HYPR algorithms are limited to the generation of magnitude images and, therefore, have limitations in their potential applications. In this work, the HYPR LR algorithm has been modified to extend the use of algorithms in the HYPR family to applications that require processing of complex data, such as MR chemical shift imaging (CSI) or spectroscopic imaging. The proposed method processes the magnitude information the same way as in original HYPR LR processing. In addition, it improves the phase images by subtracting the phase map of a synthesized composite image. The feasibility and efficiency of this algorithm has been demonstrated on CSI of cortical bone, Achilles tendon, and a healthy volunteer on a clinical 3T scanner.
Details
- Title: Subtitle
- Ultrashort TE spectroscopic imaging (UTESI) using complex highly-constrained backprojection with local reconstruction (HYPR LR)
- Creators
- Kang Wang - University of Wisconsin–MadisonJiang Du - University of California, San DiegoRafael O'Halloran - University of Wisconsin–MadisonSean Fain - University of Wisconsin–MadisonSteven Kecskemeti - University of Wisconsin–MadisonOliver Wieben - University of Wisconsin–MadisonKevin M Johnson - University of Wisconsin–MadisonCharles Mistretta - University of Wisconsin–Madison
- Resource Type
- Journal article
- Publication Details
- Magnetic resonance in medicine, Vol.62(1), pp.127-134
- DOI
- 10.1002/mrm.21986
- PMID
- 19353656
- PMCID
- PMC2770812
- ISSN
- 0740-3194
- eISSN
- 1522-2594
- Grant note
- R21 EB006393-02 / NIBIB NIH HHS R21 EB006393 / NIBIB NIH HHS
- Language
- English
- Date published
- 07/2009
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Health and Human Physiology
- Record Identifier
- 9984274957002771
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