Accurate segmentation of subcutaneous and intermuscular adipose tissue from MR images of the thigh

Journal of Magnetic Resonance Imaging

Volumn 29, Issue 3, 2009, Pages 677-684

  Positano, Vincenzo ^a,d   Christiansen, Tore ^b   Santarelli, Maria Filomena ^a   Ringgaard, Steffen ^b   Landini, Luigi ^a,c   Gastaldelli, Amalia ^a  

^a INSTITUTE OF CLINICAL PHYSIOLOGY   (Italy)

^b AARHUS UNIVERSITY HOSPITAL   (Denmark)

^c UNIVERSITY OF PISA   (Italy)

^d CNR   (Italy)

Author keywords

Adipose tissue; Fat; Fuzzy clustering; IMAT; MRI; SAT

Indexed keywords

ADULT; ALGORITHM; ARTICLE; CLINICAL ARTICLE; EXERCISE; FEMALE; FUZZY SYSTEM; HISTOGRAM; HUMAN; IMAGE ANALYSIS; MALE; MUSCLE TISSUE; NUCLEAR MAGNETIC RESONANCE IMAGING; NUTRITION; OBESITY; PRIORITY JOURNAL; SUBCUTANEOUS FAT; THIGH; TISSUE DISTRIBUTION;

ADIPOSE TISSUE; ADULT; ALGORITHMS; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MUSCLE, SKELETAL; OBESITY; REPRODUCIBILITY OF RESULTS; SUBCUTANEOUS FAT; THIGH; TISSUE DISTRIBUTION;

EID: 63449131986     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.21699     Document Type: Article

References (28)

1. Iacobellis G. Imaging of visceral adipose tissue: an emerging diagnostic tool and therapeutic target. Curr Drug Targets Cardiovasc Haematol Disord 2005;5:345-353.
2. Ferrannini E, Sironi AM, Iozzo P, Gastaldelli A. Intra-abdominal adiposity, abdominal obesity, and cardiometabolic risk. Eur Heart J Suppl 2008;10:B4-10.
3. 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.
4. 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.
5. Durheim MT, Slentz CA, Bateman LA, Mabe SK, Kraus WE. Relationships between exercise-induced reductions in thigh intermus-cular adipose tissue, changes in lipoprotein particle size, and visceral adiposity. Am J Physiol Endocrinol Metab 2008;295:E407-412
6. ManiniTM, Clark BC, NallsMA, Goodpaster BH, Ploutz-Snyder LL, Harris TB. Reduced physical activity increases intermuscular adipose tissue in healthy young adults. Am J Clin Nutr 2007;85:377-384.
7. Ruan XY, Gallagher D, Harris T, et al. Estimating whole body intermuscular adipose tissue from single cross-sectional magnetic resonance images. J Appl Physiol 2007;102:748-754.
8. Gronemeyer SA, Steen RG, Kauffman WM, Reddick WE, Glass JO. Fast adipose tissue(FAT) assessment by MRI. Magn Reson Imaging 2000;18:815-818.
9. Positano V, Gastaldelli A, Sironi AM, Santarelli MF, Lombardi M, Landini L. An accurate and robust method for unsupervised assessment of abdominal fat by MRI. J Magn Reson Imaging 2004;20:684-689.
10. Liou T, Chan WP, Pan L, Lin P, Chou P, Chen C. Fully automated large-scale assessment of visceral and subcutaneous abdominal adipose tissue by magnetic resonance imaging. Int J Obes(Lond) 2006;30:844-852.
11. Kullberg J, Ahlstrom H, Johansson L, Frimmel H. Automated and reproducible segmentation of visceral and subcutaneous adipose tissue from abdominal MRI. Int J Obes(Lond) 2007;31:1806 -1817.
12. Peng Q, McColl RW, Ding Y, Wang J, Chia JM, Weatherall PT. Automated method for accurate abdominal fat quantification on water-saturated magnetic resonance images. J Magn Reson Imaging 2007;26:738-746.
13. Bonekamp S, Ghosh P, Crawford S, et al. Quantitative comparison and evaluation of software packages for assessment of abdominal adipose tissue distribution by magnetic resonance imaging. Int J Obes(Lond) 2008;32:100-111.
14. Arif H, Racette SB, Villareal DT, Holloszy JO, Weiss EP. Comparison of methods for assessing abdominal adipose tissue from magnetic resonance images. Obesity(Silver Spring) 2007;15:2240-2244.
15. 15.Demerath EW, Ritter KJ, Couch WA, et al. Validity of a new automated software program for visceral adipose tissue estimation. Int J Obes(Lond) 2007;31:285-291.
16. Xu C, Prince JL. Snakes, shapes, and gradient vector flow. IEEE Trans Image Process 1998;7:359-369.
17. Dempster A, Laird N, Rubin D. Maximum likelihood from incomplete data via the EM algorithm. J R Stat Soc Ser B 1977;39:1-38.
18. Machann J, Bottcher M, Springer F, et al. Quantification of fatty septa in skeletal muscle of the lower leg by T1-weighted MRI and correlation to anthropometric and metabolic data. In: Proc 16th Scientific Meeting ISMRM; 2008:2568.
19. Al-Attar SA, Pollex RL, Robinson JF, et al. Semi-automated segmentation and quantification of adipose tissue in calf and thigh by MRI: a preliminary study in patients with monogenic metabolic syndrome. BMC Med Imaging 2006;6:11.
20. Gastaldelli A, Sironi AM, Ciociaro D, et al. Visceral fat and beta cell function in non-diabetic humans. Diabetologia 2005;48:2090-2096.
21. Racette SB, Weiss EP, Villareal DT, et al. One year of caloric restriction in humans: feasibility and effects on body composition and abdominal adipose tissue. J Gerontol A Biol Sci Med Sci 2006;61:943-950.
22. Weiss EP, Racette SB, Villareal DT, et al. Improvements in glucose tolerance and insulin action induced by increasing energy expenditure or decreasing energy intake: a randomized controlled trial. Am J Clin Nutr 2006;84:1033-1042.
23. Vovk U, Pernus F, Likar B. A review of methods for correction of intensity inhomogeneity in MRI. IEEE Trans Med Imaging2007;26:405-421.
24. Sled JG, Zijdenbos AP, Evans AC. A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans Med Imaging 1998;17:87-97.
25. Liew AW, Yan H. An adaptive spatial fuzzy clustering algorithm for 3-D MR image segmentation. IEEE Trans Med Imaging 2003;22:1063-1075.
26. Positano V, Cusi K, Santarelli MF, et al. Automatic correction of intensity inhomogeneities improves unsupervised assessment of abdominal fat by MRI. J Magn Reson Imaging 2008;28:403-410.
27. 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.
28. Peng Q, McColl RW, Wang J, Chia JM, Weatherall PT. Water-saturated three-dimensional balanced steady-state free precession for fast abdominal fat quantification. J Magn Reson Imaging 2005;21:263-271.