Automated unsupervised multi-parametric classification of adipose tissue depots in skeletal muscle

Journal of Magnetic Resonance Imaging

Volumn 37, Issue 4, 2013, Pages 917-927

  Valentinitsch, Alexander ^a,b   Karampinos, Dimitrios C ^a   Alizai, Hamza ^a   Subburaj, Karupppasamy ^a   Kumar, Deepak ^a   Link, Thomas M ^a   Majumdar, Sharmila ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b MEDICAL UNIVERSITY OF VIENNA   (Austria)

Author keywords

fat quantification; intermuscular adipose tissue (IMAT); magnetic resonance imaging (MRI); multi parametric clustering; subcutaneous adipose tissue (SAT); water fat imaging

Indexed keywords

ACCURACY; ADIPOSE TISSUE; AGED; ARTICLE; AUTOMATION; BONE; CALF (BOVINE); CLINICAL ARTICLE; CONTROLLED STUDY; FEMALE; HUMAN; IMAGE PROCESSING; INTERMUSCULAR ADIPOSE TISSUE; KNEE OSTEOARTHRITIS; METHODOLOGY; MUSCLE; NON INSULIN DEPENDENT DIABETES MELLITUS; NUCLEAR MAGNETIC RESONANCE IMAGING; POSTMENOPAUSE; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SUBCUTANEOUS FAT; THIGH;

ADIPOSE TISSUE; AGED; ALGORITHMS; BODY FAT DISTRIBUTION; BODY MASS INDEX; CLUSTER ANALYSIS; DIABETES MELLITUS, TYPE 2; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MIDDLE AGED; MUSCLE, SKELETAL; PATTERN RECOGNITION, AUTOMATED; PREDICTIVE VALUE OF TESTS; REFERENCE VALUES; SUBCUTANEOUS FAT;

EID: 84875472371     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.23884     Document Type: Article

References (43)

1. Goodpaster BH, Thaete FL, Kelley DE,. Thigh adipose tissue distribution is associated with insulin resistance in obesity and in type 2 diabetes mellitus. Am J Clin Nutr 2000; 71: 885-892. (Pubitemid 30176569)
2. Wajchenberg BL,. Subcutaneous and visceral adipose tissue: their relation to the metabolic syndrome. Endocr Rev 2000; 21: 697-738. (Pubitemid 32113289)
3. Fox CS, Massaro JM, Hoffmann U, et al. Abdominal visceral and subcutaneous adipose tissue compartments: association with metabolic risk factors in the Framingham Heart Study. Circulation 2007; 116: 39-48. (Pubitemid 47016245)
4. Boettcher M, Machann J, Stefan N, et al. Intermuscular adipose tissue (IMAT): association with other adipose tissue compartments and insulin sensitivity. J Magn Reson Imaging 2009; 29: 1340-1345.
5. Gallagher D, Kelley DE, Yim JE, et al. Adipose tissue distribution is different in type 2 diabetes. Am J Clin Nutr 2009; 89: 807-814.
6. Gallagher D, Kuznia P, Heshka S, et al. Adipose tissue in muscle: a novel depot similar in size to visceral adipose tissue. Am J Clin Nutr 2005; 81: 903-910. (Pubitemid 41725001)
7. Machann J, Thamer C, Schnoedt B, et al. Age and gender related effects on adipose tissue compartments of subjects with increased risk for type 2 diabetes: a whole body MRI/MRS study. Magma 2005; 18: 128-137. (Pubitemid 41176077)
8. Machann J, Thamer C, Stefan N, et al. Follow-up whole-body assessment of adipose tissue compartments during a lifestyle intervention in a large cohort at increased risk for type 2 diabetes. Radiology 2010; 257: 353-363.
9. Mojtahedi MC, Thorpe MP, Karampinos DC, et al. The effects of a higher protein intake during energy restriction on changes in body composition and physical function in older women. J Gerontol A Biol Sci Med Sci 2011; 66: 1218-1225.
10. Positano V, Christiansen T, Santarelli MF, Ringgaard S, Landini L, Gastaldelli A,. Accurate segmentation of subcutaneous and intermuscular adipose tissue from MR images of the thigh. J Magn Reson Imaging 2009; 29: 677-684.
11. Zhou A, Murillo H, Peng Q,. Impact of partial volume effects on visceral adipose tissue quantification using MRI. J Magn Reson Imaging 2011; 34: 1452-1457.
12. Zhou A, Murillo H, Cusi K, Peng Q,. Comparison of visceral adipose tissue quantification on water suppressed and nonwater-suppressed MRI at 3.0 Tesla. J Magn Reson Imaging 2012; 35: 1445-1452.
13. Zhou A, Murillo H, Peng Q,. Novel segmentation method for abdominal fat quantification by MRI. J Magn Reson Imaging 2011; 34: 852-860.
14. Makrogiannis S, Serai S, Fishbein KW, Schreiber C, Ferrucci L, Spencer RG,. Automated quantification of muscle and fat in the thigh from water-, fat-, and nonsuppressed MR images. J Magn Reson Imaging 2012; 35: 1152-1161.
15. Dixon WT,. Simple proton spectroscopic imaging. Radiology 1984; 153: 189-194. (Pubitemid 14043406)
16. Glover GH, Schneider E,. Three-point Dixon technique for true water/fat decomposition with B0 inhomogeneity correction. Magn Reson Med 1991; 18: 371-383.
17. Reeder SB, Pineda AR, Wen Z, et al. Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL): application with fast spin-echo imaging. Magn Reson Med 2005; 54: 636-644. (Pubitemid 41233758)
18. Reeder SB, Wen Z, Yu H, et al. Multicoil Dixon chemical species separation with an iterative least-squares estimation method. Magn Reson Med 2004; 51: 35-45. (Pubitemid 38095700)
19. Karampinos DC, Baum T, Nardo L, et al. Characterization of the regional distribution of skeletal muscle adipose tissue in type 2 diabetes using chemical shift-based water/fat separation. J Magn Reson Imaging 2012; 35: 899-907.
20. Alabousi A, Al-Attar S, Joy TR, Hegele RA, McKenzie CA,. Evaluation of adipose tissue volume quantification with IDEAL fat-water separation. J Magn Reson Imaging 2011; 34: 474-479.
21. Kullberg J, Karlsson AK, Stokland E, Svensson PA, Dahlgren J,. Adipose tissue distribution in children: automated quantification using water and fat MRI. J Magn Reson Imaging 2010; 32: 204-210.
22. Alizai H, Nardo L, Karampinos DC, et al. Comparison of clinical semi-quantitative assessment of muscle fat infiltration with quantitative assessment using chemical shift-based water/fat separation in MR studies of the calf of post-menopausal women. Eur Radiol 2012; 22: 1592-1600.
23. Altman R, Asch E, Bloch D, et al. Development of criteria for the classification and reporting of osteoarthritis. Classification of osteoarthritis of the knee. Diagnostic and Therapeutic Criteria Committee of the American Rheumatism Association. Arthritis Rheum 1986; 29: 1039-1049.
24. Li X, Benjamin Ma C, Link TM, et al. In vivo T(1rho) and T(2) mapping of articular cartilage in osteoarthritis of the knee using 3 T MRI. Osteoarthritis Cartilage 2007; 15: 789-797. (Pubitemid 46888159)
25. Bolbos RI, Zuo J, Banerjee S, et al. Relationship between trabecular bone structure and articular cartilage morphology and relaxation times in early OA of the knee joint using parallel MRI at 3 T. Osteoarthritis Cartilage 2008; 16: 1150-1159.
26. Beattie KA, MacIntyre NJ, Ramadan K, Inglis D, Maly MR,. Longitudinal changes in intermuscular fat volume and quadriceps muscle volume in the thighs of women with knee osteoarthritis. Arthritis Care Res (Hoboken) 2012; 64: 22-29.
27. Yu H, Reeder SB, Shimakawa A, Brittain JH, Pelc NJ,. Field map estimation with a region growing scheme for iterative 3-point water-fat decomposition. Magn Reson Med 2005; 54: 1032-1039. (Pubitemid 41457077)
28. Yu H, Shimakawa A, McKenzie CA, Brodsky E, Brittain JH, Reeder SB,. Multiecho water-fat separation and simultaneous R2* estimation with multifrequency fat spectrum modeling. Magn Reson Med 2008; 60: 1122-1134.
29. Middleton MS, Hamilton G, Bydder M, Sirlin CB,. How much fat is under the water peak in liver fat MR spectroscopy? In: Proceedings of the 17th Annual Meeting of ISMRM, Honolulu, Hawaii; 2009. (abstract 4331).
30. Karampinos DC, Yu H, Shimakawa A, Link TM, Majumdar S,. Chemical shift-based water/fat separation in the presence of susceptibility-induced fat resonance shift. Magn Reson Med 2012 doi:10.1002/mrm.24157 [Epub ahead of print].
31. Bydder M, Yokoo T, Hamilton G, et al. Relaxation effects in the quantification of fat using gradient echo imaging. Magn Reson Imaging 2008; 26: 347-359.
32. Karampinos DC, Yu H, Shimakawa A, Link TM, Majumdar S,. T(1) -corrected fat quantification using chemical shift-based water/fat separation: application to skeletal muscle. Magn Reson Med 2011; 66: 1312-1326.
33. Liu CY, McKenzie CA, Yu H, Brittain JH, Reeder SB,. Fat quantification with IDEAL gradient echo imaging: correction of bias from T1 and noise. Magn Reson Med 2007; 58: 354-364. (Pubitemid 47267653)
34. Yu H, Shimakawa A, Hines CD, et al. Combination of complex-based and magnitude-based multiecho water-fat separation for accurate quantification of fat-fraction. Magn Reson Med 2011; 66: 199-206.
35. Dice L,. Measures of the amount of ecologic association between species. Ecology 1945; 26: 297-302.
36. Goutallier D, Postel JM, Bernageau J, Lavau L, Voisin MC,. Fatty muscle degeneration in cuff ruptures. Pre- and postoperative evaluation by CT scan. Clin Orthop Relat Res 1994;Jul: 78-83. (Pubitemid 24230668)
37. Addeman BT, Beaton M, Hegele RA, Soliman AS, Wiens CN, McKenzie CA,. Validation of fully automatic adipose tissue segmentation and volume quantification. In: Proceedings of the 20th Annual Meeting of ISMRM, Melbourne, Australia; 2012. (abstract 751).
38. Hu HH, Nagy TR, Goran MI, Nayak KS,. Quantification of absolute fat mass by magnetic resonance imaging: a validation study against chemical analysis. Int J Body Compos Res 2011; 9: 111-122.
39. Reeder SB, Hines CD, Yu H, McKenzie CA, Brittain JH,. On the definition of fat-fraction for in vivo fat quantification with magnetic resonance imaging. In: Proceedings of the 17th Annual Meeting of ISMRM, Honolulu, Hawaii; 2009. (abstract 211).
40. Reeder SB, Hines CD, Yu H, McKenzie CA, Brittain JH,. Relationship between proton-density fat fraction and true fat concentration for in vivo fat quantification with magnetic resonance imaging. In: Proceedings of the 19th Annual Meeting of ISMRM, Montreal, Canada; 2011. (abstract 805).
41. Cui Y, Yang IY, Wade T, Wiens CN, Soliman AS, McKenzie CA,. Absolute quantification of in vivo water and fat content. In: Proceedings of the 20th Annual Meeting of ISMRM, Melbourne, Australia; 2012. (abstract 363).
42. Hu HH, Nayak KS,. Quantification of absolute fat mass using an adipose tissue reference signal model. J Magn Reson Imaging 2008; 28: 1483-1491.
43. Folkesson J, Krug R, Goldenstein J, et al. Evaluation of correction methods for coil-induced intensity inhomogeneities and their influence on trabecular bone structure parameters from MR images. Med Phys 2009; 36: 1267-1274.