High-Resolution Cardiovascular MRI by Integrating Parallel Imaging With Low-Rank and Sparse Modeling

• Published in: IEEE transactions on biomedical engineering Vol. 60; no. 11; pp. 3083 - 3092
• Main Authors: Christodoulou, Anthony G., Zhang, Haosen, Zhao, Bo, Hitchens, T. Kevin, Ho, Chien, Liang, Zhi-Pei
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.11.2013
• Subjects: Algorithms; Animals; Cardiovascular MRI; Cardiovascular system; Data acquisition; Data models; group sparsity; Heart - anatomy & histology; Heart - physiology; Humans; Image Processing, Computer-Assisted - methods; Image reconstruction; Inverse problems; low-rank modeling; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; partial separability (PS); Phantoms, Imaging; Rats

Magnetic resonance imaging (MRI) has long been recognized as a powerful tool for cardiovascular imaging because of its unique potential to measure blood flow, cardiac wall motion, and tissue properties jointly. However, many clinical applications of cardiac MRI have been limited by low imaging speed...