Accelerated T1ρ acquisition for knee cartilage quantification using compressed sensing and data-driven parallel imaging: A feasibility study

Magnetic Resonance in Medicine

Volumn 75, Issue 3, 2016, Pages 1256-1261

  Pandit, Prachi ^a   Rivoire, Julien ^a   King, Kevin ^b   Li, Xiaojuan ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b GE HEALTHCARE   (United States)

Author keywords

ARC; cartilage; compressed sensing; MRI; T1

Indexed keywords

CARTILAGE; DATA ACQUISITION; IMAGING TECHNIQUES; MAGNETIC RESONANCE IMAGING; MEAN SQUARE ERROR;

ACCELERATION FACTORS; CLINICAL APPLICATION; COEFFICIENT OF VARIATION; COMPRESSIVE SENSING; IN-VIVO MEASUREMENT; QUANTITATIVE IMAGING; ROOT MEAN SQUARED ERRORS; SEQUENTIAL COMBINATION;

COMPRESSED SENSING;

ANALYTICAL ERROR; ANIMAL TISSUE; ARTICLE; AUTOCALIBRATING RECONSTRUCTION FOR CARTESIAN SAMPLING; COMPRESSED SENSING AND DATA DRIVEN PARALLEL IMAGING; CONTROLLED STUDY; DIAGNOSTIC IMAGING EQUIPMENT; EX VIVO STUDY; FEASIBILITY STUDY; HUMAN; IMAGE QUALITY; IMAGE RECONSTRUCTION; IMAGING PHANTOM; IN VIVO STUDY; INTERMETHOD COMPARISON; KNEE MENISCUS; NONHUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PHASED ARRAY KNEE COIL; PIG; QUANTITATIVE ANALYSIS; RADIOLOGICAL PROCEDURES; ROOT MEAN SQUARED ERROR; SAMPLING; SIMULATION; T1RHO IMAGING; VOLUNTEER; ALGORITHM; ANIMAL; ARTICULAR CARTILAGE; COMPUTER SIMULATION; DIAGNOSTIC IMAGING; IMAGE PROCESSING; PROCEDURES; STIFLE;

ALGORITHMS; ANIMALS; CARTILAGE, ARTICULAR; COMPUTER SIMULATION; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PHANTOMS, IMAGING; STIFLE; SWINE;

EID: 84928039038     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.25702     Document Type: Article

References (29)

1. Helmick CG, Felson DT, Lawrence RC, et al., Estimates of the prevalence of arthritis and other rheumatic conditions in the United States. Arthrit Rheum 2008; 58: 15-25.
2. Binks DA, Hodgson RJ, Ries ME, Foster RJ, Smye SW, McGonagle D, Radjenovic A,. Quantitative parametric MRI of articular cartilage: a review of progress and open challenges. Brit J Radiol 2013; 86: 20120163-20120163.
3. Roemer FW, Crema MD, Trattnig S, Guermazi A,. Advances in imaging of osteoarthritis and cartilage. Radiology 2011; 260: 332-354.
4. Gold GE, Chen CA, Koo S, Hargreaves BA, Bangerter NK,. Recent advances in MRI of articular cartilage. AJR Am J Roentgenol 2009; 193: 628-638.
5. Duvvuri U, Reddy R, Patel SD, Kaufman JH, Kneeland JB, Leigh JS,. T1rho-relaxation in articular cartilage: effects of enzymatic degradation. Magn Reson Med 1997; 38: 863-867.
6. Regatte RR, Akella SVS, Borthakur A, Kneeland JB, Reddy R,. Proteoglycan depletion-induced changes in transverse relaxation maps of cartilage. Acad Radiol 2002; 9: 1388-1394.
7. Duvvuri U, Charagundla SR, Kudchodkar SB, Kaufman JH, Kneeland JB, Rizi R, Leigh JS, Reddy R,. Human knee: in vivo T1(rho)-weighted MR imaging at 1.5 T-preliminary experience. Radiology 2001; 220: 822-826.
8. Regatte RR, Akella SVS, Wheaton AJ, Lech G, Borthakur A, Kneeland JB, Reddy R,. 3D-T1rho-relaxation mapping of articular cartilage: in vivo assessment of early degenerative changes in symptomatic osteoarthritic subjects. Acad Radiol 2004; 11: 741-749.
9. Zhao F, Deng M, Yuan J, Teng G-J, Ahuja AT, Wang Y-XJ,. Experimental evaluation of accelerated T1rho relaxation quantification in human liver using limited spin-lock times. Korean J Radiol 2012; 13: 736-742.
10. Robson PM, Grant AK, Madhuranthakam AJ, Lattanzi R, Sodickson DK, McKenzie CA,. Comprehensive quantification of signal-to-noise ratio and g-factor for image-based and k-space-based parallel imaging reconstructions. Magn Reson Med 2008; 60: 895-907.
11. Zuo J, Li X, Banerjee S, Han E, Majumdar S,. Parallel imaging of knee cartilage at 3 Tesla. J Magn Reson Imaging 2007; 26: 1001-1009.
12. Bolbos RI, Zuo J, Banerjee S, Link TM, Benjamin Ma C, Li X, Majumdar S,. Relationship between trabecular bone structure and articular cartilage morphology and relaxation times in early OA of the knee joint using parallel MRI at 3T. Osteoarthr Cartilage 2008; 16: 1150-1159.
13. Lustig M, Donoho D, Pauly JM,. Sparse MRI: the application of compressed sensing for rapid MR imaging. Magn Reson Med 2007; 58: 1182-1195.
14. Liang D, Liu B, Wang J, Ying L,. Accelerating SENSE using compressed sensing. Magn Reson Med 2009; 62: 1574-1584.
15. Lustig M, Donoho DL, Santos JM, Pauly JM,. Compressed sensing MRI. IEEE Signal Process Mag 2008; 25: 72-82.
16. Vasanawala SS, Murphy MJ, Alley MT, Lai P, Keutzer K, Pauly JM, Lustig M,. Practical parallel imaging compressed sensing MRI: summary of two years of experience in accelerating body MRI of pediatric patients. In: 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Chicago, Illinois, USA, March 30 to April 2, 2011. p 1039-1043.
17. Velikina JV, Alexander AL, Samsonov A,. Accelerating MR parameter mapping using sparsity-promoting regularization in parametric dimension. Magn Reson Med 2013; 70: 1263-1273.
18. Huang C, Graff CG, Clarkson EW, Bilgin A, Altbach MI,. T2 mapping from highly undersampled data by reconstruction of principal component coefficient maps using compressed sensing. Magn Reson Med 2012; 67: 1355-1366.
19. Doneva M, Börnert P, Eggers H, Stehning C, Sénégas J, Mertins A,. Compressed sensing reconstruction for magnetic resonance parameter mapping. Magn Reson Med 2010; 64: 1114-1120.
20. Zhu Y, Zhang Q, Liu Q, Wang Y-XJ, Liu X, Zheng H, Liang D, Yuan J,. PANDA- T1ρ: Integrating principal component analysis and dictionary learning for fast T1ρ mapping. Magn Reson Med 2014.
21. Lustig M, Alley M, Vasanawala S,. L1 SPIR-iT: Autocalibrating Parallel Imaging Compressed Sensing. In Proceedings of 17th Annual Meeting of ISMRM, Honolulu, Hawaii, USA, 2009. p. 379.
22. Otazo R, Kim D, Axel L, Sodickson DK,. Combination of compressed sensing and parallel imaging for highly accelerated first-pass cardiac perfusion MRI. Magn Reson Med 2010; 64: 767-776.
23. King K, Xu D, Brau AC, Lai P, Beatty PJ, Marinelli L,. A New Combination of Compressed Sensing and Data Driven Parallel Imaging. In Proceedings of 18th Annual Meeting of ISMRM, Stockholm, Sweden, 2010. p. 4881.
24. Beatty PJ, Brau AC, Joshi SM, Michelich CR, Bayram E, Nelson TE, Herfkens RJ, Brittain JH,. A Method for Autocalibrating 2D-Accelerated Volumetric Parallel Imaging with Clinically Practical Reconstruction Times. In Proceedings of 15th Annual Meeting of ISMRM, Berlin, Germany, 2007. p. 1749.
25. Brau ACS, Beatty PJ, Skare S, Bammer R,. Comparison of reconstruction accuracy and efficiency among autocalibrating data-driven parallel imaging methods. Mag Reson Med 2008; 59: 382-395.
26. Li X, Han ET, Busse RF, Majumdar S,. In vivo T(1rho) mapping in cartilage using 3D magnetization-prepared angle-modulated partitioned k-space spoiled gradient echo snapshots (3D MAPSS). Magn Reson Med 2008; 59: 298-307.
27. Rueckert D, Sonoda LI, Hayes C, Hill DL, Leach MO, Hawkes DJ,. Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans Med Imaging 1999; 18: 712-721.
28. Carballido-Gamio J, Bauer JS, Keh-Yang Lee, Krause S, Majumdar S,. Combined image processing techniques for characterization of MRI cartilage of the knee. Conf Proc IEEE Eng Med Biol Soc 2005; 3: 3043-3046.
29. Sharma SD, Nayak K,. Region of Interest Compressed Sensing. In Proceedings of 17th Annual Meeting of ISMRM, Honolulu, Hawaii, USA, 2009. p. 2816.