How to do the filtered back projection?

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 Comments

Your ramp filter is 1D, while the Fourier of your image is 2D, so you can't multiply them yet. You need to make it 2D. I would suggest using pol2cart to do the heavy lifting.
Just a note: did you have a look at the radon function?
Dear @Rik,
I can use radon function. But I just to show one by one step to my student how the filter backprojection working. Can you help me?
Did you already try to convert to 2D?
Not yet. Because I dont know how to convert it into 2D.can help me?
You have a vector with respect to f. You need a matrix with respect to two spatial frequencies. That means you need to treat your vector as the rho in a polar coordinate system. Did you read the documentation for the pol2cart function?
I have not yet read the documentation for the pol2cart function.
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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R2023a

Asked:

on 19 May 2024

Commented:

Rik
on 21 May 2024

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