Code covered by the BSD License  

Highlights from
Matlab code for my Graduate Thesis

from Matlab code for my Graduate Thesis by Troy
Numerically solves the diffusion equations as it pertains to medical imaging.

vvheun3D(varargin)
function [w1, w2, w3] = vvheun3D(varargin)
% crankNicolson: uses Crank-Nicolson algorithm to approximate the solution
%   to the parabolic PDE:
%       u_{t}(x,t) - alpha^2 u_{xx}(x,t) = 0, 0<x<L, 0<t<T
%   subject to the boundary conditions
%       u(0,t) = u(L,t) = 0, 0<t<T
%   and the initial conditions
%       u(x,0) = f(x), 0<=x<=L
%
% arguments:
%   L (vector 1by3) - upper bound of spatial (x) variable
%       (Default L = [1,1,1])
%   T (scalar) - upper bound of time (t) variable
%       (Default T = 1)
%   alpha (scalar) - square root of coefficient of u_{xx} term
%       (Default alpha = 1)
%   m (vector 1by3) - number of discrete spatial intervals
%       (Default m = [100,100,100])
%   n (scalar) - number of discrete time intervals
%       (Default n = 100)
%
%   w (m+1 x m+1 x m+1 x n) - approximation to u(x,t) at discrete space/time positions
%

% author: Troy J. Winkstern
% email: tjw8191@rit.edu
% date: 30 Jan 2011

% parse input arguments
[L,T,alpha,m,n] = parseInputs(varargin{:});
L_x = L(1);
L_y = L(2);
L_z = L(3);
m_x = m(1);
m_y = m(2);
m_z = m(3);

% initialize h, k, lambda, and w
h_x = L_x/m_x;
h_y = L_y/m_y;
h_z = L_z/m_z;
k = T./n;
w1 = zeros(m_y+1,m_x+1,m_z+1,n);
w2 = zeros(m_y+1,m_x+1,m_z+1,n);
w3 = zeros(m_y+1,m_x+1,m_z+1,n);

% initialize w1 (to sin(pix1/L1)*sin(pix2/L2)*sin(pix3/L3))
for i=2:m_x
    for j=2:m_y
        for k=2:m_z
            
        w1(j,i,k,1) = sin(pi.*h_x.*(i-1)./L_x).*sin(pi.*h_y.*(j-1)./L_y)...
            .*sin(pi.*h_z.*(k-1)./L_z);
        
        end
    end
end

% initialize w2 (to 4*sin(pix1/L1)*sin(pix2/L2)*sin(pix3/L3))
for i=2:m_x
    for j=2:m_y
        for k=2:m_z
            
        w2(j,i,k,1) = 4*sin(pi.*h_x.*(i-1)./L_x).*sin(pi.*h_y.*(j-1)./L_y)...
            .*sin(pi.*h_z.*(k-1)./L_z);
        
        end
    end
end

% initialize w3 (to sin(pix1/L1)*sin(pix2/L2)*sin(pix3/L3))
for i=2:m_x
    for j=2:m_y
        for k=2:m_z
            
        w3(j,i,k,1) = 2*sin(pi.*h_x.*(i-1)./L_x).*sin(pi.*h_y.*(j-1)./L_y)...
            .*sin(pi.*h_z.*(k-1)./L_z);
        
        end
    end
end

g1 = zeros(m_y+1,m_x+1,m_z+1);
p1 = zeros(m_y+1,m_x+1,m_z+1);
o1 = zeros(m_y+1,m_x+1,m_z+1);

g2 = zeros(m_y+1,m_x+1,m_z+1);
p2 = zeros(m_y+1,m_x+1,m_z+1);
o2 = zeros(m_y+1,m_x+1,m_z+1);

g3 = zeros(m_y+1,m_x+1,m_z+1);
p3 = zeros(m_y+1,m_x+1,m_z+1);
o3 = zeros(m_y+1,m_x+1,m_z+1);

for t=1:(n-1)
    %Go back and check that these coefficients are correct.
    f1 = (alpha^2)*laplacian(w1(:,:,:,t),h_y,h_x,h_z);
    g1 = w1(:,:,:,t) + ((2*k)/3)*f1;
    p1 = (alpha^2)*laplacian(g1,h_y,h_x,h_z);
    o1 = p1 + ((2*k)/3)*(alpha^2)*laplacian(p1,h_y,h_x,h_z);
    
    f2 = (alpha^2)*laplacian(w2(:,:,:,t),h_y,h_x,h_z);
    g2 = w2(:,:,:,t) + ((2*k)/3)*f2;
    p2 = (alpha^2)*laplacian(g2,h_y,h_x,h_z);
    o2 = p2 + ((2*k)/3)*(alpha^2)*laplacian(p2,h_y,h_x,h_z);
    
    f3 = (alpha^2)*laplacian(w3(:,:,:,t),h_y,h_x,h_z);
    g3 = w3(:,:,:,t) + ((2*k)/3)*f3;
    p3 = (alpha^2)*laplacian(g3,h_y,h_x,h_z);
    o3 = p3 + ((2*k)/3)*(alpha^2)*laplacian(p3,h_y,h_x,h_z);
    
    w1(:,:,:,t+1) = w1(:,:,:,t) + (k/4)*f1 + ((3*k)/4)*o1;
    w2(:,:,:,t+1) = w2(:,:,:,t) + (k/4)*f2 + ((3*k)/4)*o2;
    w3(:,:,:,t+1) = w3(:,:,:,t) + (k/4)*f3 + ((3*k)/4)*o3;
end


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% subfunction parseInputs
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [L,T,alpha,m,n] = parseInputs(varargin)

% check number of input arguments
nargs = length(varargin);
error(nargchk(0,5,nargs));

% get/set n
if nargs<5
    n = [];
else
    n = varargin{5};
end
if isempty(n)
    n = 100;
end

% check n has valid value
if (numel(n)>1) || (n<1) || ~isequal(round(n),n)
    error('n must be a positive integer.');
end

% get/set m
if nargs<4
    m = [];
else
    m = varargin{4};
end
if isempty(m)
    m = [100,100,100];
end

% check m has valid value
if (numel(m)~=3) || any(m<1) || any(~isequal(round(m),m))
    error('m must be a vector of positive integers.');
end

% get/set alpha
if nargs<3
    alpha = [];
else
    alpha = varargin{3};
end
if isempty(alpha)
    alpha = 1;
end

% check alpha has valid value
if numel(alpha)>1
    error('alpha must be a real scalar.');
end

% get/set T
if nargs<2
    T = [];
else
    T = varargin{2};
end
if isempty(T)
    T = 1;
end

% check T has valid value
if (numel(T)>1) || (T<=0)
    error('T must be a positive real scalar.');
end

% get/set L
if nargs<1
    L = [];
else
    L = varargin{1};
end
if isempty(L)
    L = [1,1,1];
end

% check L has valid value
if (numel(L)~=3) || any(L<=0)
    error('L must be a positive vector with 3 elements.');
end

% warning if L not integer
if any(~isequal(round(L),L))
    warning('L should be an vector of integers so that the inital condition takes on the value of 0 for t = 0 and t = T.');
end

%another subfunction
function y = laplacian(x,h_y,h_x,h_z)
[m,n,p] = size(x);
y = zeros(m,n,p);
for i = 2:n-1
    for j = 2:m-1
        for k = 2:p-1
        
    y(j,i,k) = (x(j-1,i,k)+x(j+1,i,k)-2*x(j,i,k))/(h_y.^2)...
        +(x(j,i-1,k)+x(j,i+1,k)-2*x(j,i,k))/(h_x.^2)+...
        (x(j,i,k-1)+x(j,i,k+1)-2*x(j,i,k))/(h_z.^2);
    
        end
    end
end

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