Shape estimation of subcutaneous adipose tissue using an articulated statistical shape model

References

• Anguelov D, Srinivasan P, Koller D, Thrun S, Rodgers J, Davis J. 2005. SCAPE: shape completion and animation of people. SIGGRAPH. 24:408–416.
   Google Scholar
• Bogo F, Romero J, Loper M, Black MJ. 2014. FAUST: dataset and evaluation for 3D mesh registration. In: CVPR. Columbus, Ohio, USA; p. 3794–3801.
   Google Scholar
• Boykov Y, Funka-Lea G. 2006. Graph cuts and efficient n-d image segmentation. IJCV. 70:109–131.
   Web of Science ®Google Scholar
• Brennan DD, Whelan PF, Robinson K, Ghita O, OBrien JM, Sadleir R, Eustace SJ. 2005. Rapid automated measurement of body fat distribution from whole-body mri. AJR Am J Roentgenol. 185:418–423.
   PubMed Web of Science ®Google Scholar
• Caselles V, Kimmel R, Sapiro G. 1997. Geodesic active contour. IJCV. 22:61–79.
   Google Scholar
• Chen S, Radke R. 2009. Level set segmentation with both shape and intensity priors. In: ICCV. Kyoto, Japan; p. 763–770.
   Google Scholar
• Christensen GE, Joshi SC, Miller MI. 1997. Volumetric transformation of brain anatomy. IEEE Trans Med Imaging. 16:864–877.
   PubMed Web of Science ®Google Scholar
• Cootes TF, Taylor CJ, Cooper DH, Graham J. 1995. Active shape models-their training and application. CVIU. 61:38–59.
   Web of Science ®Google Scholar
• Cremers D, Osher S, Soatto S. 2006. Kernel density estimation and intrinsic alignment for shape priors in level set segmentation. IJCV. 69:335–351.
   Web of Science ®Google Scholar
• Cremers D, Rousson M, Deriche R. 2007. A review of statistical approaches to level set segmentation: integrating color, texture, motion and shape. IJCV. 72:195–215.
   Web of Science ®Google Scholar
• Dice LR. 1945. Measures of the amount of ecological association between species. Ecology. 26:297–302.
   Web of Science ®Google Scholar
• Fouquier G, Anquez J, Bloch I, Falip C, Adamsbaum C. 2011. Subcutaneous adipose tissue segmentation in whole-body mri of children. In: Iberoamerican Congress on Pattern Recognition, CIARP. Pucon, Chile; p. 97–104.
   Google Scholar
• Holtzman-Gazit M, Kimmel R, Peled N, Goldsher D. 2006. Segmentation of thin structures in volumetric medical images. IEEE Trans Image Process. 15:354–363.
   PubMed Web of Science ®Google Scholar
• Jin Y, Imielinska CZ, Laine AF, Udupa J, Shen W, Heymsfield SB. 2003. Segmentation and evaluation of adipose tissue from whole body mri scans. In: MICCAI. Montreal, Canada; p. 635–642.
   Google Scholar
• Kainmueller D. 2015. Multi-object segmentation of joints. In: Deformable meshes for medical image segmentation. Wiesbaden: Springer Fachmedien Wiesbaden; p. 117–129. Aktuelle Forschung Medizintechnik Latest Research in Medical Engineering.
   Google Scholar
• Kim J, Cetin M, Willsky AS. 2007. Nonparametric shape priors for active contour-based image segmentation. Signal Process. 87:3021–3044.
   Web of Science ®Google Scholar
• Kimmel R. 2003. Fast edge integration. In: Osher S, Paragios N, editor. Geometric level set methods in imaging, vision, and graphics. New York: Springer; p. 59–77.
   Google Scholar
• Kullberg J, Johansson L, Ahlstrom H, Courivaud F, Koken P, Eggers H, Bornert P. 2009. Automated assessment of whole-body adipose tissue depots from continuously moving bed mri: a feasibility study. J Magn Reson Imaging. 30:185–193.
   PubMed Web of Science ®Google Scholar
• Leinhard OD, Johansson A, Rydell J, Smedby O, Nystrom F, Lundberg P, Borga M. 2008. Quantitative abdominal fat estimation using mri. In: ICPR. Tampa, Florida, USA; p. 1–4.
   Google Scholar
• Maintz JB, Viergever MA. 1998. A survey of medical image registration. Med Image Anal. 2:1–36.
   PubMedGoogle Scholar
• Malladi R, Sethian JA, Vemuri BC. 1995. Shape modelling with front propagation: a level set approach. T-PAMI. 17:158–175.
   Web of Science ®Google Scholar
• Michailovich O, Rathi Y, Tannenbaum A. 2007. Image segmentation using active contours driven by the bhattacharyya gradient flow. IEEE Trans Image Process. 16:2787–2801.
   PubMed Web of Science ®Google Scholar
• Mosbech TH, Pilgaard K, Vaag A, Larsen R. 2011. Automatic segmentation of abdominal adipose tissue in mri. In: Scandinavian Conference on Image Analysis. Ystad, Sweden; p. 501–511.
   Google Scholar
• Muller HP, Raudies F, Unrath A, Neumann H, Ludolph AC, Kassubek J. 2011. Quantification of human body fat tissue percentage by mri. NMR Biomed. 24:17–24.
   PubMed Web of Science ®Google Scholar
• Nash S. 1984. Newton-type minimization via the lanczos method. SIAM J Numer Anal. 21:770–788.
   Web of Science ®Google Scholar
• Paragios N, Deriche R. 2002. Geodesic active regions and level set methods for supervised texture segmentation. IJCV. 46:223–247.
   Web of Science ®Google Scholar
• Polak M, Zhang H, Pi M. 2009. An evaluation metric for image segmentation of multiple objects. Image Vision Comput. 27:1223–1227.
   Web of Science ®Google Scholar
• Positano V, Christiansen T, Santarelli MF, Ringgaard S, Landini L, Gastaldelli A. 2009. Accurate segmentation of subcutaneous and inter muscular adipose tissue from mr images of the thigh. JMRI. 29:677–684.
   Web of Science ®Google Scholar
• Rall LB. 1981. Automatic differentiation: techniques and applications. Lecture notes in computer science; vol. 120. Berlin: Springer.
   Google Scholar
• Roullier V, Cavaro-Menard C, Aube C, Calmon G. 2006. Fuzzy clustering on abdominal mri for adipose tissue quantification. In: IFAC Symposium on Modeling and Control in Biomedical Systems. Reims, France; p. 23–28.
   Google Scholar
• Rousson M, Paragios N. 2002. Shape priors for level set representations. In: ECCV. Copenhagen, Denmark; p. 78–92.
   Google Scholar
• Seixas FL, Damasceno J, da Silva MP, de Souza AS, Saade DCM. 2007. Automatic segmentation of brain structures based on anatomic atlas. In: International Conference on Intelligent Systems Design and Applications. Rio De Janeiro, Brazil; p. 329–334.
   Google Scholar
• Sussman DL, Yao J, Summers RM. 2010. Automated measurement and segmentation of abdominal adipose tissue in mri. In: IEEE International Symposium on Biomedical Imaging: From Nano to Macro. Rotterdam, Netherlands; p. 936–939.
   Google Scholar
• Thomas E, Fitzpatrick J, Malik S, Taylor-Robinson S, Bell J. 2013. Whole body fat: content and distribution. Prog Nucl Magn Reson Spectrosc. 73:56–80.
   PubMed Web of Science ®Google Scholar
• Wald D, Schwarz T, Dinkel J, Delorme S, Teucher B, Kaaks R, Meinzer HP, Heimann T. 2011. Analysis of adipose tissue distribution using whole-body magnetic resonance imaging. In: SPIE Medical Imaging. Lake Buena Vista, Florida, USA; p. 1–6.
   Google Scholar
• Wang X, Hu Q, Pheng AH. 2012. Left ventricle segmentation with mixture of gaussian active contours. In: IEEE International Symposium on Biomedical Imaging. Barcelona, Spain; p. 230–233.
   Google Scholar
• Wurslin C, Machann J, Rempp H, Claussen C, Yang B, Schick F. 2010. Topography mapping of whole body adipose tissue using a fully automated and standardised procedure. JMRI. 31:430–439.
   Web of Science ®Google Scholar
• Yeo SY, Xie X, Sazonov I, Nithiarasu P. 2011. Geometrically induced force interaction for three-dimensional deformable models. T-IP. 20:1373–1387.
   Web of Science ®Google Scholar
• Zhou A, Murillo H, Peng Q. 2011. Novel segmentation method for abdominal fat quantification by mri. JMRI. 34:852–860.
   Web of Science ®Google Scholar