Reputation: 399
I am working on DICOM images, I have 5 scans(folders) each scan contain multiple images, after working some preprocessing on the images, I want to save the processed images in a single file using "np.save", I have the code below that save each folder in a separate file:
data_path = 'E:/jupyter/test/LIDC-IDRI/'
patients_data = os.listdir(data_path)
for pd in range(len(patients_data)):
full_path = load_scan(data_path + patients_data[pd])
after_pixel_hu = get_pixels_hu(full_path)
after_resample, spacing = resample(after_pixel_hu, full_path, [1,1,1])
np.save(output_path + "images_of_%s_patient.npy" % (patients_data[pd]), after_resample)
load_scan is a function for loading(reading) DICOM files, what I want to do with this code is to save all processed images in a single file, not in five files, can anyone tell me how to do that, please?
Upvotes: 1
Views: 448
Reputation: 809
The first thing to notice is that you are using %s
with patients_data[pd]
. I assume patients_data
is a list of the names of the patients, which means you are constructing a different output path for each patient - you are asking numpy to save each of your processed images to a new location.
Secondly, .npy is probably not the file type you want to use for your purposes, as it does not handle appending data. You probably want to pick a different file type, and then np.save()
to the same file path each time.
Edit: Regarding file type, a pdf may be your best option, where you can make each of your images a separate page.
Upvotes: 1