Hi all,
I want to extract the RescaleSlope value from dicominfo for each slice. But I have 135 slice images. This is my code to extract RescaleSlope. But still failed.
P = zeros(256, 256, 135);
for K = 1 : 135
petname = sprintf('PET_I1001_PT%03d.dcm', K);
P(:,:,K) = dicominfo(petname);
end
info=dicominfo(P(:,:,K));
[r,c,slice] = findND (info.RescaleSlope);
Anyone who can help me solve this problem???

2 件のコメント

Image Analyst
Image Analyst 2018 年 2 月 19 日
mohd akmal masud
mohd akmal masud 2018 年 2 月 19 日
Thank you Image Analyst

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 採用された回答

Walter Roberson
Walter Roberson 2018 年 2 月 19 日

0 投票

for K = 135 : -1 : 1
petname = sprintf('PET_I1001_PT%03d.dcm', K);
info(K) = dicominfo(petname);
end
rescale_slopes = [info.RescaleSlope];
If, for some reason you need to find the non-zero entries, then
slice_idx = find(rescale_slopes);
Note: the above code has a limitation that the dicominfo returned by each slice must have exactly the same set of fields. If that assumption is violated then the info(K) assignment will give you an error about assignment between dissimilar structures.

14 件のコメント

mohd akmal masud
mohd akmal masud 2018 年 2 月 19 日
Thank You Walter Roberson. I will try
mohd akmal masud
mohd akmal masud 2018 年 2 月 19 日
for K = 135 : -1 : 1
petname = sprintf('PET_I1001_PT%03d.dcm', K);
info(K) = dicominfo(petname);
end
rescale_slopes = [info.RescaleSlope];
I have try that above, but the error appear like below
Subscripted assignment between dissimilar structures
Error in imagescale(line 4)
info(K)=dicominfo(petname);
Walter Roberson
Walter Roberson 2018 年 2 月 19 日
for K = 135 : -1 : 1
petname = sprintf('PET_I1001_PT%03d.dcm', K);
thisinfo = dicominfo(petname);
fn = fieldnames(thisinfo);
for N = 1 : length(fn)
thisfield = fn{N};
info(K).(thisfield) = thisinfo.(thisfield);
end
end
rescale_slopes = {info.RescaleSlope};
mask = cellfun(@isempty, rescale_slopes);
rescale_slopes(mask) = {0}; %set missing entries to 0
rescale_slopes = cell2mat(rescale_slopes);
slice_idx = find(rescale_slopes); %find non-zero entries, which would exclude the missing entries and any that happened to be 0 anyhow
mohd akmal masud
mohd akmal masud 2018 年 2 月 19 日
wowww amazing!!! its work. thank you walter roberson.
mohd akmal masud
mohd akmal masud 2018 年 2 月 19 日
if i just want info rescale slope that image have value pixel intensity from K >= 25000 & K <= 32767, is it true i write the command below:??
for K = 135 : -1 : 1
petname = sprintf('PET_I1001_PT%03d.dcm', K );
thisinfo = dicominfo(petname );
fn = fieldnames(thisinfo );
for N = 1 : length(fn )
thisfield = fn{N };
info(K).(thisfield) = thisinfo.(thisfield );
end
end
rescale_slopes = {info.RescaleSlope } ;
rescale_slopes(mask) = {K >= 25000 & K <= 32767}
Walter Roberson
Walter Roberson 2018 年 2 月 19 日
To clarify: you want to know the rescale slope for images that have at least one pixel in the range 25000 to 32767 ?
mohd akmal masud
mohd akmal masud 2018 年 2 月 19 日
yes correct
Walter Roberson
Walter Roberson 2018 年 2 月 19 日
for K = 135 : -1 : 1
petname = sprintf('PET_I1001_PT%03d.dcm', K);
thisinfo = dicominfo(petname);
fn = fieldnames(thisinfo);
for N = 1 : length(fn)
thisfield = fn{N};
info(K).(thisfield) = thisinfo.(thisfield);
end
this_slice = dicomread(petname);
slices{K} = this_slice;
end
rescale_slopes = {info.RescaleSlope};
mask = cellfun(@isempty, rescale_slopes);
rescale_slopes(mask) = {0}; %set missing entries to 0
rescale_slopes = cell2mat(rescale_slopes);
inrange_mask = cellfun(@(M) any(M(:) >= 25000 & M(:) <= 32767), slices);
idx_of_inrange = find(inrange_mask);
rescale_slope_of_inrange = rescale_slopes(inrange_mask);
mohd akmal masud
mohd akmal masud 2018 年 11 月 1 日
Hi Walter Roberson,
i have this code for extract the location x,y and z. [r,c,slice] = findND(P >= 20000 & P <= 32767). But how to me extract the RescaleSlope for it?
P = zeros(256, 256, 47);
for K = 20 : 31
petname = sprintf('PETWB001_PT%03d.dcm', K);
P(:,:,K) = dicomread(petname);
end
numOfPixels = numel(P(:));
max(P(:));
sum(P(:));
mask = (P >= 20000 & P <= 32767);
numPixelsInRange = sum(mask(:));
sum(P(P>=20000 & P<=32767));
[r,c,slice] = findND(P >= 20000 & P <= 32767)
val=P(P(:)>=20000 & P(:)<=32767 );
if true
% code
end
because i use your code below, it extract all the RescaleSlope from slice 1 till 47.
for K = 135 : -1 : 1
petname = sprintf('PET_I1001_PT%03d.dcm', K);
thisinfo = dicominfo(petname);
fn = fieldnames(thisinfo);
for N = 1 : length(fn)
thisfield = fn{N};
info(K).(thisfield) = thisinfo.(thisfield);
end
this_slice = dicomread(petname);
slices{K} = this_slice;
end
rescale_slopes = {info.RescaleSlope};
mask = cellfun(@isempty, rescale_slopes);
rescale_slopes(mask) = {0}; %set missing entries to 0
rescale_slopes = cell2mat(rescale_slopes);
inrange_mask = cellfun(@(M) any(M(:) >= 25000 & M(:) <= 32767), slices);
idx_of_inrange = find(inrange_mask);
rescale_slope_of_inrange = rescale_slopes(inrange_mask);
mohd akmal masud
mohd akmal masud 2018 年 11 月 1 日
But slice 1 till 19 not have the pixel value from 20000 to 32767..
Walter Roberson
Walter Roberson 2018 年 11 月 2 日
After the line
slices{K} = this_slice;
please add
if ~isfield(info(K), 'RescaleSlope') || isempty(info(K).RescaleSlope)
info(K).RescaleSlope = 1;
end
mohd akmal masud
mohd akmal masud 2018 年 11 月 2 日
if i just want rescale slope from slice 20-31, is it correct just change below
for K = 135 : 20 : 31
Walter Roberson
Walter Roberson 2018 年 11 月 2 日
If you have read in all of the values, then
rescale_slopes(20:31)
If for some reason you only want to read in a subset of the slices, then
slices_to_read = 20:31;
num_slices = length(slices_to_read);
for slice_idx = num_slices: -1 : 1
slice_number = slices_to_read(slice_idx);
petname = sprintf('PET_I1001_PT%03d.dcm', slice_number);
info(slice_idx) = dicominfo(petname);
if ~isfield(info(slice_idx), 'RescaleSlope') || isempty(info(slice_idx).RescaleSlope)
info(slice_idx).RescaleSlope = 1;
end
end
The looping from the last backwards towards the first is done for efficiency: it forces the last info() entry to be assigned to first, so afterwards it is not necessary to expand the info() struct the way it would be if you had not pre-allocated the info struct and you were looping forwards.
mohd akmal masud
mohd akmal masud 2019 年 3 月 24 日
Sorry all, another question i have but i wrote at this space. please help me
Dear all,
this is my code to view CT image by slice
P = zeros(256, 256, 72);
for K = 1 : 72
petname = sprintf('I4%03d.dcm', K);
P(:,:,K) = dicomread(petname);
end
imshow3D(P)
then, this is my code for view SPECT image by slice,
Noted: all my 42 slice SPECT image stored in one file.
[spect map]=dicomread('128x128');
info = dicominfo('128x128');
gp=info.SliceThickness;
spect=(squeeze(spect));%smooth3
aa=size(spect);aa=aa(3);
imshow3D(spect);
Anybody can help me to fuse both SPECT and CT images for all slice?

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その他の回答 (1 件)

mohd akmal masud
mohd akmal masud 2018 年 11 月 8 日

0 投票

Hi Walter
I Have This Code
P = zeros(256, 256, 47);
for K = 20 : 31
petname = sprintf('PETWB001_PT%03d.dcm', K);
P(:,:,K) = dicomread(petname);
end
numOfPixels = numel(P(:));
max(P(:));
sum(P(:));
mask = (P >= 20000 & P <= 32767);
numPixelsInRange = sum(mask(:));
sum(P(P>=20000 & P<=32767));
[r,c,slice] = findND(P >= 20000 & P <= 32767);
val=P(P(:)>=20000 & P(:)<=32767 )
how to multiply the val with RescaleSlope itself?
i have try the code you given like below. its work, but separately. So have to multiply manually. So how to me make automatically?
for K = 47 : -1 : 1
petname = sprintf('PETWB001_PT%03d.dcm', K);
thisinfo = dicominfo(petname);
fn = fieldnames(thisinfo);
for N = 1 : length(fn)
thisfield = fn{N};
info(K).(thisfield) = thisinfo.(thisfield);
end
this_slice = dicomread(petname);
slices{K} = this_slice;
if ~isfield(info(K), 'RescaleSlope') || isempty(info(K).RescaleSlope)
info(K).RescaleSlope = 1;
end
end
rescale_slopes = {info.RescaleSlope};
mask = cellfun(@isempty, rescale_slopes);
rescale_slopes(mask) = {0}; %set missing entries to 0
rescale_slopes = cell2mat(rescale_slopes);
inrange_mask = cellfun(@(M) any(M(:) >= 25000 & M(:) <= 32767), slices);
idx_of_inrange = find(inrange_mask);
rescale_slope_of_inrange = rescale_slopes(20:31)

5 件のコメント

mohd akmal masud
mohd akmal masud 2019 年 3 月 8 日
Hi Walter,
I i have 75 ct slice(the hame file start with ct10, ct 20, ct30...........ct75), how could i write the code for looping?
75 ct slice inside this folder for example ( I:\12. FIZIK NUKLEAR\Jadual Bulanan Kerja PSF 2018\75ct)
Walter Roberson
Walter Roberson 2019 年 3 月 8 日
projectdir = 'I:\12. FIZIK NUKLEAR\Jadual Bulanan Kerja PSF 2018\75ct';
numslices = 75; %assume this
rawslices = cell(numslices, 1);
slices = cell(numslices, 1);
for K = numslices : -1 : 1
petname = fullfile(projectdir, sprintf('ct%d.dcm', K));
thisinfo = dicominfo(petname);
fn = fieldnames(thisinfo);
for N = 1 : length(fn)
thisfield = fn{N};
info(K).(thisfield) = thisinfo.(thisfield);
end
this_slice = dicomread(petname);
if ~isfield(info(K), 'RescaleSlope') || isempty(info(K).RescaleSlope)
info(K).RescaleSlope = 1;
end
if ~isfield(info(K), 'RescaleIntercept') || isempty(info(K).RescaleIntercept)
info(K).RescaleIntercept = 0;
end
rawslices{K} = this_slice;
slices{K} = double(this_slice) * info(K).RescaleSlope + info(K).RescaleIntercept;
end
Now rawslices is a cell array containing the data as read in from the file (probably int16 datatype), and slices is a cell array containing the data rescaled, as double datatype.
You do not need to do any of that post-processing to find empty values because it is already done inside the reading loop: the isempty() causes empty values to be replaced with known values.
mohd akmal masud
mohd akmal masud 2019 年 3 月 9 日
But my image does not have extension name (.dcm)
Walter Roberson
Walter Roberson 2019 年 3 月 9 日
What extension does it have?
This is a Question about DICOM, dealing with the DICOM-specific matter of RescaleSlope and RescaleIntercept. If you are not using DICOM images then your question should have been posted separately and should have included detail of what you were trying to achieve.
mohd akmal masud
mohd akmal masud 2019 年 3 月 24 日
Sorry all, another question i have but i wrote at this space. please help me
Dear all,
this is my code to view CT image by slice
P = zeros(256, 256, 72);
for K = 1 : 72
petname = sprintf('I4%03d.dcm', K);
P(:,:,K) = dicomread(petname);
end
imshow3D(P)
then, this is my code for view SPECT image by slice,
Noted: all my 42 slice SPECT image stored in one file.
[spect map]=dicomread('128x128');
info = dicominfo('128x128');
gp=info.SliceThickness;
spect=(squeeze(spect));%smooth3
aa=size(spect);aa=aa(3);
imshow3D(spect);
Anybody can help me to fuse both SPECT and CT images for all slice?

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