How to do the filtered back projection?

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mohd akmal masud
mohd akmal masud el 19 de Mayo de 2024
Comentada: Rik el 21 de Mayo de 2024
Dear all,
I want to do the filtered back projection. Here is my code:
First, I created the phantom:
%create the phantom
Z = zeros(99); % create square matrix of zeroes
origin = [round((size(Z,2)-1)/2+1) round((size(Z,1)-1)/2+1)]; % "center" of the matrix
radius = round(sqrt(numel(Z)/(2*pi))); % radius for a circle that fills half the area of the matrix
[xx,yy] = meshgrid((1:size(Z,2))-origin(1),(1:size(Z,1))-origin(2)); % create x and y grid
Z(sqrt(xx.^2 + yy.^2) <= radius) = 1; % set points inside the radius equal to one
imshow(Z); % show the "image"
Second, I transform to frequency domain:
j = fftshift(fft2(Z));
figure, imshow(j)
j1 = log(1+abs(j));
figure ,imshow(j1)
j2 = bar(j1);
Third, should be I multiply my frequency domain with my Ramp Filter. My Ramp filter as here:
% Define parameters
N = 512; % Number of points in the filter
fs = 1000; % Sampling freq. in Hz
f = fs * (-N/2:N/2-1)/N; % Freq. vector
% Creating the ramp filter in the freq. domain
rampFilter = abs(f);
% Plot
figure;
plot(f, rampFilter);
title('Ramp Filter');
xlabel('Frequency (Hz)');
ylabel('Amplitude');
grid on;
But, my problem is I dont know how to multiply my frequency domain with Ramp Filter, as the step number 2 in picture below.
ANYONE CAN HELP ME?
  7 comentarios
mohd akmal masud
mohd akmal masud el 21 de Mayo de 2024
I have not yet read the documentation for the pol2cart function.
Rik
Rik el 21 de Mayo de 2024
Did nobody in your previous 219 questions suggest reading the documentation? In my personal opinion that is (together with debugging tools) one of the main advantages of Matlab over alternatives like Python.

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