I have a problem and don’t know how to solve:
I’m learning how to analyze DICOM files with Python and, so,

I got a patient exam, on single patient and one single exam, which is 200 DICOM files all of the size 512×512 each archive representing a different layer of him and I want to turn them into a single archive .npy so I can use in another tutorial that I found online.

Many tutorials try to convert them to jpg or png using opencv first, but I don’t want this since I’m not interested in a friendly image to see right now, I need the array. Also, this step screw all the quality of images.

I already know that using:

medical_image = pydicom.read_file(file_path)
image = medical_image.pixel_array

I can grab the path, turn 1 slice in a pixel array and them use it, but the thing is, it doesn’t work in a for loop.

The for loop I tried was basically this:

image = [] #  to create an empty list

for f in glob.iglob('file_path'):
    img = pydicom.dcmread(f)
    image.append(img)

It results in a list with all the files. Until here it goes well, but it seems it’s not the right way, because I can use the list and can’t find the supposed next steps anywhere, not even answers to the errors that I get in this part, (so I concluded it was wrong)