Abstract
Accurate quantification of total body and the distribution of regional adipose tissue using manual segmentation is a challenging problem due to the high variation between manual delineations. Manual segmentation also requires highly trained experts with knowledge of anatomy. We present a hybrid segmentation method that provides robust delineation results for adipose tissue from whole body MRI scans. A formal evaluation of accuracy of the segmentation method is performed. This semi-automatic segmentation algorithm reduces significantly the time required for quantification of adipose tissue, and the accuracy measurements show that the results are close to the ground truth obtained from manual segmentations.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Flegal, K., Carroll, M., Kuczmarski, R., Johnson, C.: Overweight and obesity in the United States: prevalence and trends. Int. J. Obesity 22, 38–47 (1998)
NIH Clinical Guidelines on the Identification: Evaluation and Treatment of Overweight and Obesity in Adults-the Evidence Report. Obesity Res. vol. 6, pp. 51S–209S (1998)
PiSunyer, F.X.: Medical Hazards of Obesity. Annals of Internal Medicine 119, 644–660 (1993)
Park, Y.W., Zhu, S.K., Palaniappan, L., Heshka, S., Carnethon, M.R., Heymsfield, S.B.: The metabolic syndrome: prevalence and associated risk factors. Archives and Internal Medicine (in press)
Ross, R., Leger, L., Guardo, R., Guise, J.D., Pike, B.G.: Adipose tissue volume measured by magnetic resonance imaging and computerized tomography in rats. J. App. Physiol. 70, 2164–2172 (1991)
Ross, R.: Magnetic resonance imaging provides new insights into the characterization or adipose and lean tissue distribution. Can. J. Physiol. Pharmacol. 74, 778–785 (1996)
Rogowska, J., Batchelder, K., Gazelle, G.S., Halpern, E.F., Connor, W., Wolf, G.L.: Evaluation of selected two-dimensional segmentation techniques for computed tomography quantitation of lymph nodes. Invest. Radiol. 31, 138–145 (1996)
Elbers, J., Haumann, G., Asscheman, H., Seidell, J., Gooren, L.R.: Reproducibility of fat area measurements in young, non-obese subjects by computerized analysis of magnetic resonance images. Int. J. Obes. Relat. Metab. Disord. 21, 1121–1129 (1997)
Yang, G.Z., Myerson, S., Chabat, F., Pennell, D.J., Firmin, D.N.: Automatic MRI adipose tissue mapping using overlapping mosaics. MAGMA 4, 39–44 (2002)
Angelini, E., Imielinska, C., Jin, Y., Laine, A.: Improving statistics for hybrid segmentation of high-resolution multichannel images. In: SPIE Annual meeting on Medical Imaging, vol. 4684(1), pp. 401–411 (2002)
Imielinska, C., Metaxas, D., Udupa, J., Jin, Y., Chen, T.: Hybrid Segmentation Methods of Anatomical Data. In: Niessen, W.J., Viergever, M.A. (eds.) MICCAI 2001. LNCS, vol. 2208, pp. 1048–1057. Springer, Heidelberg (2001)
Udupa, J., LaBlanc, V., Schmidt, H., Imielinska, C., Saha, P., Grevera, G., Zhuge, Y., Molholt, P., Jin, Y., Currie, L.: A Methodology for Evaluating Image Segmentation Algorithm. In: SPIE Conference on Medical Imaging, San Diego CA, vol. 4684, pp. 266–277 (2002)
Jones, T.N., Metaxas, D.N.: Automated 3D segmentation using deformable models and fuzzy affinity. In: 15th International conference, Information Processing in Medical Imaging, Vermont, USA, pp. 113–126 (1997)
Jones, T.N., Metaxas, D.N.: Image Segmentation based on the integration of pixel affinity and deformable models. Computer Vision and Pattern Recognition, Sant Barbara, CA (1998)
Udupa, J.K., Samarasekera, S.: Fuzzy connectedness and object definition: Theory, algorithms and applications in image segmentation. Graphical Models and Image Processing 58, 246–261 (1996)
Imielinska, C., Downes, M.S., Yuan, W.: Semi-automated color segmenation of anatomical tissue. Computerized Medical Imaging and Graphics 24, 173–180 (2000)
Preparata, F.P., Shamos, M.I.: Computational Geometry. Springer, New York (1985)
Sethian, J.: Level set methods and fast marching methods (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jin, Y., Imielinska, C.Z., Laine, A.F., Udupa, J., Shen, W., Heymsfield, S.B. (2003). Segmentation and Evaluation of Adipose Tissue from Whole Body MRI Scans. In: Ellis, R.E., Peters, T.M. (eds) Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003. MICCAI 2003. Lecture Notes in Computer Science, vol 2878. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39899-8_78
Download citation
DOI: https://doi.org/10.1007/978-3-540-39899-8_78
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20462-6
Online ISBN: 978-3-540-39899-8
eBook Packages: Springer Book Archive