New PDF release: An introduction to craniosacral terapy

By Cohen D

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Chen T, Metaxas D (2005) A hybrid framework for 3D medical image segmentation. Med Image Anal 9(6):547–565 182. Chrastek R, Wolf M, Donath K, Niemann H, Paulus D, Hothorn T, Lausen B, Lammer R, Mardin CY, Michelson G (2005) Automated segmentation of the optic nerve head for diagnosis of glaucoma. Med Image Anal 9(4):297–314 183. Olabarriaga SD, Rouet J-M, Fradkin M, Breeuwer M, Niessen WJ (2005) Segmentation of thrombus in abdominal aortic aneurysms from CTA with nonparametric statistical grey level appearance modeling.

For example, a conventional parametric deformable 2-D model by Kass et al. [136], called also an active contour, or snake, is a single-parameter curve rm ¼ ðxm ; ym Þ with M control points, ½rm : m ¼ 1; . . ; MŠ, the integer index m being generalized into a real number in the interval M ¼ ½1; MŠto indicate continuous positions rm from r1 to rM around the curve. 3) m2M where, zint ðrm Þ and zext ðrm Þ denote the internal and external forces, respectively, that control the point-wise movements of the point rm ¼ ðxm ; ym Þ along the curve.

Terzopoulos D, Witkin A, Kass M (1988) Constraints on deformable models: recovering 3D shape and nonrigid motion. Artif Intell 36:91–123 140. Amini AA, Weymouth TE, Jain RC (1990) Using dynamic programming for solving variational problems in vision. IEEE Trans Pattern Anal Mach Intell 12(9):855–867 141. Terzopoulos D, Metaxas D (1991) Dynamic 3-D models with local and global deformations: deformable superquadrics. IEEE Trans Pattern Anal Mach Intell 13(7):703–714 142. Staib LH, Duncan JS (1992) Boundary finding with parametrically deformable models.

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An introduction to craniosacral terapy by Cohen D


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