Conference proceeding
Reference Guided CS-MRI with Gradient Orientation Priors
2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), Vol.2015-, pp.7498-7501
IEEE Engineering in Medicine and Biology Society Conference Proceedings
01/01/2015
DOI: 10.1109/EMBC.2015.7320126
PMID: 26738026
Abstract
The theory of Compressed sensing (CS) provides a systematic framework for MR image reconstruction from under-sampled k-space data. However, severe aliasing artifacts still occurs in the case of high acceleration. Thereupon, an extensive body of works investigates exploiting additional prior information extracted from a reference image which can be acquired with relative ease in many MR applications. In this work, we propose a novel reference guided CS-MRI reconstruction method using gradient orientation priors (GOP). Specifically, we regularize the tangent vector in the target image to be perpendicular to the corresponding normal vector in the reference image over all spatial locations. The proposed method was validated using multi-scan experiment data and is shown to provide high speed and high quality imaging.
Details
- Title: Subtitle
- Reference Guided CS-MRI with Gradient Orientation Priors
- Creators
- Xi Peng - Chinese Acad Sci, Shenzhen Inst Adv Technol, Paul C Lauterbur Res Ctr Biomed Imaging, Shenzhen 518055, Guangdong, Peoples R ChinaQingyong Zhu - Shenzhen Institutes of Advanced TechnologyShanshan Wang - Chinese Acad Sci, Shenzhen Inst Adv Technol, Paul C Lauterbur Res Ctr Biomed Imaging, Shenzhen 518055, Guangdong, Peoples R ChinaDong Liang - Shenzhen Institutes of Advanced Technology
- Resource Type
- Conference proceeding
- Publication Details
- 2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), Vol.2015-, pp.7498-7501
- Publisher
- IEEE
- Series
- IEEE Engineering in Medicine and Biology Society Conference Proceedings
- DOI
- 10.1109/EMBC.2015.7320126
- PMID
- 26738026
- ISSN
- 1557-170X
- eISSN
- 1558-4615
- Number of pages
- 4
- Language
- English
- Date published
- 01/01/2015
- Academic Unit
- Radiology
- Record Identifier
- 9984446414102771
Metrics
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