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Docteur de l'université Automatic Segmentation and Shape Analysis ...

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86 Chapter 4 Statistical shape mo<strong>de</strong>l of Hippocampus<br />

A fast solver to the boundary value problem of Navier-Lamé system un<strong>de</strong>r Dirichlet<br />

boundary condition based on discrete sine transform (Martucci, 1994) has <strong>de</strong>vel-<br />

oped by Cahill et al. (2007). The adjoint of the operator in matrix form<br />

⎛<br />

L † = −µ∇ 2 ⎜<br />

− (µ + λ) ⎝<br />

∂ 2<br />

∂y 2<br />

− ∂2<br />

∂x∂y<br />

is multiplied to both si<strong>de</strong> of the equation (4.38)<br />

where the matrix <strong>de</strong>terminant of L has the form<br />

The sinusoidal waves on D<br />

− ∂2<br />

∂x∂y<br />

∂ 2<br />

∂x 2<br />

⎞<br />

⎟<br />

⎠ (4.40)<br />

L † L[v] = <strong>de</strong>t(L)[v] = L † [F] (4.41)<br />

<strong>de</strong>t(L) = µ(2µ + λ)∇ 2 ∇ 2 . (4.42)<br />

ωa,b(x) = sin aπx sin bπy, x = (x, y) ∈ D, <strong>and</strong> a, b ∈ N, (4.43)<br />

are the eigen-functions of <strong>de</strong>t(L) un<strong>de</strong>r the ‘no-slip’ condition (4.39), which moti-<br />

vates the fast solution of the boundary value problem via discrete sine transform<br />

listed in Algorithm 8.<br />

Algorithm 8 Solving the velocity field with fluid regularization on shape image.<br />

Adapted from Cahill et al. (2007).<br />

1: Compute L † [F](xı,j), ∀ı, j = 1, 2, · · · , 2N + 1 by direct convolution of F with<br />

linear differential filter<br />

2: Compute the discrete sine transform F(a, b) of L † [F]<br />

3: Compute the coefficients<br />

F(a, b)<br />

v(a, b) ←<br />

4µ(2µ + λ) (<br />

cos ( )<br />

aπ + cos 2N<br />

( )<br />

bπ − 2 2N<br />

) 2<br />

4: Compute the velocity v(xı,j) from the inverse discrete sine transform of v(a, b).

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