Quantitative CT imaging for adipose tissue analysis in mouse model of obesity

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7963, Issue , 2011, Pages

  Marchadier, A ^a,c   Vidal, C ^b   Tafani, J P ^d   Ordureau, S ^c   Ledee R ^a   Leger C ^a  

^a UPRES EA no4229   (France)

^b INSTITUT PASTEUR   (France)

^c Useful Progress   (France)

^d APCIS SA   (France)

Author keywords

adipose tissue; expectation maximization; gaussian mixture model; level set segmentation; medical CT; small animal imaging

Indexed keywords

ADIPOSE TISSUE; EXPECTATION MAXIMIZATION; GAUSSIAN MIXTURE MODEL; LEVEL SET SEGMENTATION; MEDICAL CT; SMALL ANIMAL IMAGING;

ALGORITHMS; ANIMALS; COMPUTER AIDED ANALYSIS; COMPUTER AIDED DIAGNOSIS; GAUSSIAN DISTRIBUTION; IMAGE SEGMENTATION; MAXIMUM PRINCIPLE; MEDICAL IMAGING; NUMERICAL METHODS; NUTRITION; TISSUE;

COMPUTERIZED TOMOGRAPHY;

EID: 79955778390     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.878144     Document Type: Conference Paper

References (20)

1. J.C. Seidell, P. Bjorntorp, L Sjostrom, R. Sannerstedt, M. Krotkiewski, H, Kvist, "Regional distribution of muscle and fat mass in men - new insight into the risk of abdominal obesity using computed tomography", Int J Obes 13, 289-303 (1989) (Pubitemid 19156402)
2. A.E. Summe, N.M. Farmer, M.K. Tulloch-Reid, "Sex differences in visceral adipose tissue volume among African Americans", Am J Clin Nutr 76 (2002)
3. W. Shen, M. Punyanitya, Z. Wang, "Visceral adipose tissue : relations between single-slice areas and total volume", Am J Nutr 80 (2004)
4. D. L. Sussman, J. Yao, R. M. Summers, "Automated fat measurement and segmentation with intensity inhomogeneity correction," Proc. SPIE Medical Imaging Vol. 7623 (2010)
5. V. Positano, T. Christiansen, F. Santarelli, S. Ringgaard, L. Landini, A. Gastaldelli, "Accurate segmentation of subcutaneous and intermuscular adipose tissue from MR images of the thigh", Journal of Magnetic Resonance Imaging 29, 677-684 (2009)
6. K. J. Ellis, B. Grund, F. Visnegarwala, L. Thackeray, C. G. Miller, C. E. Chesson, W. El-Sadr, A. Carr, "Visceral and Subcutaneous Adiposity Measurements in Adults: Influence of Measurement Site", Obesity 15(6), 1441-1447 (2007) (Pubitemid 47110907)
7. S. A. Al-Attar, R. L. Pollex, J. F. Robinson, B. A. Miskie, R. Walcarius, B. K. Rutt, R. A. Hegele, "Semiautomated segmentation and quantification of adipose tissue in calf and thigh by MRI: a preliminary study in patients with monogenic metabolic syndrome," BMC Med Imaging, 6(11) (2006)
8. D. D. Brennan, P. F. Whelan, K. Robinson, O. Ghita, J. M. O'Brien, R. Sadleir, S. J. Eustace, "Rapid automated measurement of body fat distribution from whole-body MRI," AJR 185, 418-423 (2005).
9. Y. Jin, C. Z. Imielinska, A. F. Laine, J. Udupa, W. Shen, S. B. Heymsfield, "Segmentation and Evaluation of Adipose Tissue from Whole Body MRI Scans", Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003, Lecture Notes in Computer Science, 2003, Volume 2878/2003, 635-642, DOI: 10.1007/978-3-540-39899-8-78
10. P. S. Jørgensen, R. Larsen, K. Wraae, "Unsupervised Assessment of Subcutaneous and Visceral Fat by MRI", Image Analysis, Lecture Notes in Computer Science, 2009, Volume 5575/2009, 179-188, DOI: 10.1007/978-3-642-02230-2-19
11. S. Makrogiannis, S. Serai, K.W. Fishbein, W. Laney, C. Schreiber, W.B. Ershler, L. Ferrucci, R.G. Spencer, "Automated Quantification of Muscle and Fat in the Thigh from Water-, Fat-and Non-suppressed MR Images", IEEE International Conference on BioInformatics and BioEngineering (BIBE) (2010)
12. K. Furukawaa, T. Katabamia, Y. Nakajimab, T. Satoa, H. Katoa, R. Koganeia, S. Asaia, T. Matsuia, Y. Sataa, T. Kawataa, A. Kondoa, A. Ohtaa, Y. Tanaka, "Evaluation of whole-abdominal fat volume by 700-slice CT scanning and comparison with the umbilical fat area anthropometric indices", Obesity Research &Clinical Practice 4, e111-e117 (2010)
13. S. Tu, S. Zhang, Y. Chen, M. T. Freedman, B. Wang, J. Xuan, Y. Wang, " Automatic tracing and segmentation of rat mammary fat pads in MRI image sequences based on cartoon-texture model", Transactions of Tianjin University, Volume 15, Number 3, 229-235, DOI: 10.1007/s12209-009-0041-2
14. D. H. Johnson, C. A; Flask, P. R. Ernsberger, W. C. K. Wong, D. L. Wilson, "Reproducible MRI measurement of adipose tissue volumes in genetic and dietary rodent obesity models," Journal of Magnetic Resonnance Imaging, 28:915-927 (2008).
15. A.L. Hildebrandt, D. M. Kelly-Sullivan, S. C. Black, "Validation of a high-resoltuion X-Ray computed tomography system to measure murine adipose tissue depot mass in situ and longitudinally," Journal of Pharmalogical and Toxicological Methods 47, 99-106 (2002). (Pubitemid 35373967)
16. S. Judex, Y.K. Luu, E. Ozcivici, B. Adler, S. Lublinsky, C.T. Rubin, "Quantification of adiposity in small rodents using micro-CT," Methods 50, 14-19 (2010).
17. Y.K. Luu, S. Lublinsky, E. Ozcivici, E. Capilla, J.E. Pessin, C.T. Rubin, S. Judex, "In vivo quantification of subcutaneous and visceral adiposity by micro-computed tomography in a small animal model," Medical Engineering and Physics 31, 34-41 (2009).
18. A. Dempster, N. Laird, D. Rubin. "Likelihood from incomplete data via the EM algorithm". J Royal Statistical Society 739, 1-38 (1977)
19. T. Chan and L. Vese. An active contour model without edges. In Scale-Space Theories in Computer Vision, pages 141-151 (1999).
20. K. Mosaliganti, B. Smith, A. Gelas, A. Gouaillard, S. Megason, Level Set Segmentation: Active Contours without edge. The Insight Journal - 2009. http://hdl.handle.net/1926/1532