Calibrationless parallel MRI with joint total variation regularization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8151 LNCS, Issue PART 3, 2013, Pages 106-114

  Chen, Chen ^a   Li, Yeqing ^a   Huang, Junzhou ^a  

^a UNIVERSITY OF TEXAS AT ARLINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALIASED IMAGES; CALIBRATION DATA; FIELD OF VIEWS; ITERATIVE ALGORITHM; JOINTLY SPARSE; PARALLEL MRI; SUM OF SQUARES; TOTAL VARIATION REGULARIZATION;

ALGORITHMS; CALIBRATION; MAGNETIC RESONANCE IMAGING; IMAGE DENOISING; MEDICAL COMPUTING; MEDICAL IMAGING;

IMAGE DENOISING; ITERATIVE METHODS;

ALGORITHM; ARTICLE; BRAIN; CALIBRATION; COMPUTER ASSISTED DIAGNOSIS; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; BRAIN; CALIBRATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84894637580     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40760-4_14     Document Type: Conference Paper

References (16)

1. Pruessmann, K.P., Weiger, M., Scheidegger, M.B., Boesiger, P., et al.: SENSE: sensitivity encoding for fast MRI. Magn. Reson. Med. 42(5), 952-962 (1999)
2. Ying, L., Sheng, J.: Joint image reconstruction and sensitivity estimation in SENSE (JSENSE). Magn. Reson. Med. 57(6), 1196-1202 (2007)
3. Griswold, M.A., Blaimer, M., Breuer, F., Heidemann, R.M., Mueller, M., Jakob, P.M.: Parallel magnetic resonance imaging using the GRAPPA operator formalism. Magn. Reson. Med. 54(6), 1553-1556 (2005)
4. Lustig, M., Pauly, J.M.: SPIRiT: Iterative self-consistent parallel imaging reconstruction from arbitrary k-space. Magn. Reson. Med. 64(2), 457-471 (2010)
5. Liang, D., Liu, B., Wang, J., Ying, L.: Accelerating SENSE using compressed sensing. Magn. Reson. Med. 62(6), 1574-1584 (2009)
6. Zhao, T., Hu, X.: Iterative GRAPPA (iGRAPPA) for improved parallel imaging reconstruction. Magn. Reson. Med. 59(4), 903-907 (2008)
7. Majumdar, A., Ward, R.K.: Calibration-Less Multi-coil MR image reconstruction. Magn. Reson. Imaging (2012)
8. Lustig, M., Donoho, D., Pauly, J.: Sparse MRI: The application of compressed sensing for rapid MR imaging. Magn. Reson. Med. 58(6), 1182-1195 (2007)
9. Candès, E., Romberg, J., Tao, T.: Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information. IEEE Trans. Inf. Theory 52(2), 489-509 (2006)
10. Donoho, D.: Compressed sensing. IEEE Trans. Inf. Theory 52(4), 1289-1306 (2006)
11. Acar, R., Vogel, C.R.: Analysis of bounded variation penalty methods for ill-posed problems. Inv. Probl. 10(6), 1217 (1999)
12. Van Den Berg, E., Friedlander, M.: Probing the pareto frontier for basis pursuit solutions. SIAM J. Sci. Comput. 31(2), 890-912 (2008)
13. Bresson, X., Chan, T.F.: Fast dual minimization of the vectorial total variation norm and applications to color image processing. Inverse Problems and Imaging 2(4), 455-484 (2008)
14. Beck, A., Teboulle, M.: A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM J. Imaging Sci. 2(1), 183-202 (2009)
15. Beck, A., Teboulle, M.: Fast gradient-based algorithms for constrained total variation image denoising and deblurring problems. IEEE Trans. Image Process. 18(11), 2419-2434 (2009)
16. Rohlfing, T., Zahr, N.M., Sullivan, E., Pfefferbaum, A.: The SRI24 multichannel atlas of normal adult human brain structure. Human Brain Mapping 31, 798-819 (2010)