Please see this link for more information about the GUI.Did you pass a CT (scanner) exam or a MRI (magnetic resonance) exam recently? I tried to put everything together in one GUI to facilitate the work for you and you can do the conversion for one single file or a directory with a single click. You may face problems with the method provided above, for this reason I found anouther way to do the conversion correctly using SimpleITK example that conversion an array into dicom series. PhotometricInterpretation = 'MONOCHROME2' dicom_file. dcmread( 'images/dcmimage.dcm')ĭicom_file. `file_dir`: parameter will take the path to save the slices `index`: parameter will represent the index of the slice, so this parameter will be used to put the name of each slice while using a for loop to convert all the slices ''' dicom_file = pydicom. ''' `arr`: parameter will take a numpy array that represents only one slice. This is the main function that does all the work:ĭef convertNsave( arr, file_dir, index = 0): Tqdm: pip install tqdm (this one is just to print the progress of the conversion)

Convert multiple nifti files into multiple dicom series.Īs with any other program, we need some packages to complete this conversion, so in this project, you will need to install the following packages individually.

Convert one nifti file into dicom series.

Extract the frame data from the nifti file.

All of the details can be found on my blog, which I dedicated to this function.

You can simply clone this repository and begin using it. I needed this conversion during my internship while working on tumor segmentation, so I wanted to share the method I discovered with you.

This repository contains the complete code for converting nifti files to dicom series.

Osirix lite nifti to dicom