Compressed Sensing Based Real-Time Dynamic MRI Reconstruction

被引:55
作者
Majumdar, Angshul [1 ]
Ward, Rabab K. [1 ]
Aboulnasr, Tyseer [1 ]
机构
[1] Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V6T 1Z4, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Compressed sensing (CS); magnetic resonance imaging (MRI); TEMPORALLY CONSTRAINED RECONSTRUCTION; K-T FOCUSS;
D O I
10.1109/TMI.2012.2215921
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This work addresses the problem of real-time online reconstruction of dynamic magnetic resonance imaging sequences. The proposed method reconstructs the difference between the previous and the current image frames. This difference image is sparse. We recover the sparse difference image from its partial k-space scans by using a nonconvex compressed sensing algorithm. As there was no previous fast enough algorithm for real-time reconstruction, we derive a novel algorithm for this purpose. Our proposed method has been compared against state-of-the-art offline and online reconstruction methods. The accuracy of the proposed method is less than offline methods but noticeably higher than the online techniques. For real-time reconstruction we are also concerned about the reconstruction speed. Our method is capable of reconstructing 128 x 128 images at the rate of 6 frames/s, 180 x 180 images at the rate of 5 frames/s and 256 256 images at the rate of 2.5 frames/s.
引用
收藏
页码:2253 / 2266
页数:14
相关论文
共 39 条
[1]   Temporally constrained reconstruction of dynamic cardiac perfusion MRI [J].
Adluru, Ganesh ;
Awate, Suyash P. ;
Tasdizen, Tolga ;
Whitaker, Ross T. ;
DiBella, Edward V. R. .
MAGNETIC RESONANCE IN MEDICINE, 2007, 57 (06) :1027-1036
[2]   Acquisition and Reconstruction of Undersampled Radial Data for Myocardial Perfusion Magnetic Resonance Imaging [J].
Adluru, Ganesh ;
McGann, Chris ;
Speier, Peter ;
Kholmovski, Eugene G. ;
Shaaban, Akrarn ;
DiBella, Edward V. R. .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2009, 29 (02) :466-473
[3]   NESTA: A Fast and Accurate First-Order Method for Sparse Recovery [J].
Becker, Stephen ;
Bobin, Jerome ;
Candes, Emmanuel J. .
SIAM JOURNAL ON IMAGING SCIENCES, 2011, 4 (01) :1-39
[4]   Robust uncertainty principles:: Exact signal reconstruction from highly incomplete frequency information [J].
Candès, EJ ;
Romberg, J ;
Tao, T .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (02) :489-509
[5]   Enhancing Sparsity by Reweighted l1 Minimization [J].
Candes, Emmanuel J. ;
Wakin, Michael B. ;
Boyd, Stephen P. .
JOURNAL OF FOURIER ANALYSIS AND APPLICATIONS, 2008, 14 (5-6) :877-905
[6]  
Chang C. H., 2011, ISMRM MONTR CAN
[7]   FAST ALGORITHMS FOR NONCONVEX COMPRESSIVE SENSING: MRI RECONSTRUCTION FROM VERY FEW DATA [J].
Chartrand, Rick .
2009 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, VOLS 1 AND 2, 2009, :262-265
[8]   Reconstruction of dynamic contrast enhanced magnetic resonance imaging of the breast with temporal constraints [J].
Chen, Liyong ;
Schabel, Matthias C. ;
DiBella, Edward V. R. .
MAGNETIC RESONANCE IMAGING, 2010, 28 (05) :637-645
[9]   Compressed sensing [J].
Donoho, DL .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (04) :1289-1306
[10]   On NUFFT-based gridding for non-Cartesian MRI [J].
Fessler, Jeffrey A. .
JOURNAL OF MAGNETIC RESONANCE, 2007, 188 (02) :191-195