HOW TO CALCULATE THE TOTAL COUNTS PIXEL USING BINARIZE

Hi all,

i try use the Gradient Weight segmentation funtion (as script).

I binarize it. Only got the volume (T1) like below. Means 178 multiply by the volume of one voxel(0.1ml) = 17.8 ml.

Can someone help me how to get the total counts, mean count, max count inside the volume??

T1 =

1×2 table

Area Centroid

____ __________________________

178 75.893 58.36 44.539

 [spect map]=dicomread('I-131sphere10nisbah1');
info = dicominfo('I-131sphere10nisbah1');
%gp=info.SliceThickness;
spect=(squeeze(spect));%smooth3
aa=size(spect);aa=aa(3);
 
 % NI KALAU VOLUME 1 10 NISBAH V1
seedR1 = 58; seedC1 = 76; seedP1 = 45;
W1 = graydiffweight(spect, seedC1, seedR1, seedP1 , 'GrayDifferenceCutoff', 1415);
thresh = 0.004196;
[BW1, D1] = imsegfmm(W1, seedC1, seedR1, seedP1, thresh);
figure, imshow3D(BW1)
T1 = regionprops('table', BW1,'Area','Centroid')

[Image Analyst]

I don't understand why Centroid has 3 coordinates yet youi used regionprops() and not regionprops3(). regionprops3() would also give Volume, not area. So I really don't understand your code. I don't see how you could get a T1 like that.

And I don't understand when you say "all the answer is sum of the voxel. not counts inside the voxel" about Walter's answer. What do you mean by "counts"? Is count represented by the gray level of the original image? If so you'll have to pass in the gray scale image and ask for MeanIntensity and Volume and multiply them, or ask for PixelValues and sum them up.

[mohd akmal masud]

ok let me explain.

first, my image is gray scale. then i used gradientweight function as well to get the volume.

so, my problem is to get the total counts, mean count, max count as in my gray image in my volume that i have been segmentated it.

[mohd akmal masud]

the problem is, i dont know how to extract the total counts in binarize volume . because the binarize volume only have 0 and 1 value on each pixel. while the gray image have 0 till 25000 counts on my pixel,

[mohd akmal masud]

this is what i mean the origional my gray image.

as you can see in this picture, there is counts in every pixel such as in picture, 2984.

So, I want to know the total counts in whole volume that i binarize.

Answer 1

[Walter Roberson]

total_counts = sum(T1.Area)
mean_count = mean(T1.Area)
max_count = max(T1.Area)

[mohd akmal masud]

>> total_counts = sum(T1.Area)

total_counts =

   270

>> mean_count = mean(T1.Area)

mean_count =

   270

>> max_count = max(T1.Area)

max_count =

   270

all the answer is sum of the voxel. not counts inside the voxel

what i need is max count on that volume, let example the max count is 3210

then the total count is 11297

the sum voxel is 270

then the mean count is 11297 divided by 270