Automatic segmentation of intra-abdominal and subcutaneous adipose tissue in 3D whole mouse MRI

Journal of Magnetic Resonance Imaging

Volumn 30, Issue 3, 2009, Pages 554-560

  Ranefall, Petter ^a   Bidar, Abdel Wahad ^a   Hockings, Paul D ^a  

^a ASTRAZENECA R AND D   (Sweden)

Author keywords

Body composition; Fat; Image analysis; Intra abdominal tissue (IAT); Magnetic resonance imaging; Visceral adipose tissue (VAT)

Indexed keywords

ABDOMINAL FAT; ANIMAL EXPERIMENT; ARTICLE; BODY COMPOSITION; COMPUTER SYSTEM; IMAGE ANALYSIS; IMAGE PROCESSING; MOUSE; NONHUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SUBCUTANEOUS FAT; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ANIMALS; IMAGING, THREE-DIMENSIONAL; INTRA-ABDOMINAL FAT; MAGNETIC RESONANCE IMAGING; MICE; SUBCUTANEOUS FAT; WHOLE BODY IMAGING;

EID: 69449106660     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.21874     Document Type: Article

References (19)

1. Ritchie SA, Connell JM. The link between abdominal obesity, metabolic syndrome and cardiovascular disease. Nutr Metab Cardiovasc Dis 2007;17:319-326. (Pubitemid 46551691)
2. Iacobellis G. Imaging of visceral adipose tissue: an emerging diagnostic tool and therapeutic target. Curr Drug Targets Cardiovasc Haematol Disord 2005;5:345-353. (Pubitemid 41135806)
3. Pietrobelli A, Boner AL, Tato L. Adipose tissue and metabolic effects: new insight into measurements. Int J Obes 2005;29(Suppl 2):S97-S100.
4. Tang H, Vasselli JR, Wu EX, Boozer CN, Gallagher D. High-resolution magnetic resonance imaging tracks changes in organ and tissue mass in obese and aging rats. American J Physiol Regul Integr Comp Physiol 2002;282:R890-R899. (Pubitemid 34665666)
5. 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. (Pubitemid 39313745)
6. Demerath EW, Ritter KJ, Couch WA, et al. Validity of a new automated software program for visceral adipose tissue estimation. Int J Obes 2007;31:285-291.
7. Kullberg J, Angelhed JE, Lonn L, et al. Whole-body T1 mapping improves the definition of adipose tissue: consequences for automated image analysis. J Magn Reson Imaging 2006;24:394-401. (Pubitemid 44188567)
8. Thomas EL, Saeed N, Hajnal JV, et al. Magnetic resonance imaging of total body fat. J Appl Physiol 1998;85:1778-1785. (Pubitemid 28516412)
9. Changani KK, Nicholson A, White A, Latcham JK, Reid DG, Clapham JC. A longitudinal magnetic resonance imaging (MRI) study of differences in abdominal fat distribution between normal mice, and lean overexpressers of mitochondrial uncoupling protein-3 (UCP-3). Diabetes Obes Metab 2003;5:99-105.
10. Chae Y, Jeong MG, Kim D. Three dimensional volume measurement of mouse abdominal fat in magnetic resonance images. Taipei, Taiwan: e-Health Networking, Application and Services; 2007. p 252-255.
11. MacQueen JB. Some methods for classification and analysis of multivariate observations. Berkeley: University of California Press; 1967. p 281-297.
12. Cormen TH, Leiserson CE, Rivest RL, Stein C. Finding the convex hull. Introduction to algorithms. 2nd edition. Cambridge: MIT Press and McGraw-Hill; 2001. p 947-957.
13. Otsu N. A threshold selection method from gray-level histogram. IEEE Trans Systems Man Cybernet 1979;9:62-66. (Pubitemid 9413341)
14. Ranefall P, Wester K, Busch C, Malmstrom PU, Bengtsson E. Automatic quantification of microvessels using unsupervised image analysis. Anal Cell Pathol 1998;17:83-92. (Pubitemid 29067547)
15. Najman L, Couprie M. Building the component tree in quasi-linear time. IEEE Trans Image Process 2006;15:3531-3539. (Pubitemid 44615146)
16. Borgefors G. On digital distance transforms in three dimensions. Comput Vis Image Underst 1996;64:368-376. (Pubitemid 126371364)
17. Rosenfeld A. Fuzzy digital topology. Info Control 1979;40:76-87.
18. Bland JM, Altman DG. Measuring agreement in method comparison studies. Stat Methods Med Res 1999;8:135-160. (Pubitemid 29425900)
19. Shen W, Wang Z, Punyanita M, et al. Adipose tissue quantification by imaging methods: a proposed classification. Obes Res 2003;11: 5-16. (Pubitemid 41137532)