Created
November 16, 2022 11:00
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convert dicom files into mhd file
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''' | |
----------------------------------------------- | |
File Name: convert_dcm_to_mhd$ | |
Description: convert dicom files into mhd file | |
Author: Jing$ | |
Date: 16/11/2022$ | |
----------------------------------------------- | |
''' | |
import os | |
import SimpleITK as sitk | |
import pydicom | |
import numpy as np | |
import glob | |
def convert(input_path,output_path): | |
''' | |
Procedure: | |
# To get first image as refenece image, supposed all images have same dimensions | |
# To get Dimensions, 3D spacing, image origin | |
# To make numpy array | |
# loop through all the DICOM files | |
# To read the dicom file | |
# store the raw image data | |
:param input_path: the path of dicom files | |
:param output_path: the output path of mhd files | |
:return: null | |
''' | |
DICOM_directory = glob.glob(input_path) | |
Image = pydicom.read_file(DICOM_directory[0]) | |
Dimension = (int(Image.Rows), int(Image.Columns), len(DICOM_directory)) | |
Spacing = (float(Image.PixelSpacing[0]), float(Image.PixelSpacing[1]), float(Image.SliceThickness)) | |
Origin = Image.ImagePositionPatient | |
NpArrDc = np.zeros(Dimension, dtype=Image.pixel_array.dtype) | |
for filename in DICOM_directory: | |
df = pydicom.read_file(filename) | |
NpArrDc[:, :, DICOM_directory.index(filename)] = df.pixel_array | |
NpArrDc = np.transpose(NpArrDc, (2, 0, 1)) # axis transpose | |
sitk_img = sitk.GetImageFromArray(NpArrDc, isVector=False) | |
sitk_img.SetSpacing(Spacing) | |
sitk_img.SetOrigin(Origin) | |
sitk.WriteImage(sitk_img, os.path.join(output_path + ".mhd")) | |
return | |
convert(input_path="dicoms/*.dcm",output_path="samples/sample") |
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Reference https://github.com/hfarhidzadeh/DicomToMhd