Medical Image Changer

• medical image changer is a tool designed to make transformation between medical images easier for developers. This library will provide many functions including dicom_series_to_png_series, png_series_to_tf_records, combine_png, dicom_series to nifit, nifti_to_dicom_series

Installation

• Use Pip install
  1. install migc using pip (current version is 1.1.0)

   pip install micg
  

  after installing migc you may use console scripts

Console scripts

• Change Dicom series to png series

   micg_d2p INPUT_DICOM_SERIES_PATH 
  

  if your input dicom series path is
  path/to/dicom/ then your output png seires path is path/to/dicomtoPng/

• Change Png Series to tfrecords

   micg_png_to_tfrecords INPUT_PNG_SERIES_PATH
  

  if your input png series path is path/to/png/ then your output tensorflow records will save in path/to/png/~.tfrecords

• Change nifti file to Dicom Series

   micg_n2d INPUT_NIFTI_FILE_PATH
  

  if your input nifti file path is path/to/your/niftifile(file) then your output dicomSeries folder will be generated in path/to/your/niftifile_name(dir)/.dicom

• Change Dicom series to nifti file

   micg_d2n INPUT_DICOM_SERIES_DIR_PATH
  

  if your input dicom series path is path/to/your/dicom_series(dir) then your output nifti file will be generated in path/to/your/dicom_sereis(dir)/dicom_series(dir)_name.nii.gz

• Combine two png files to a paired png (same size)

   micg_combine_png OUTPUT_DIR_PATH IMAGE1_INPUT_PATH IMAGE2_INPUT_PATH
  

  Input Path : path to your png series dir Output Path : write path you wanted to save

Directory Hierarchy

│   medicalImageChanger
│   ├── micg
│   │   ├── __init__.py
│   │   ├── image_transfer.py
│   │   ├── medicallogger.py
│   │   ├── solver.py
│   │   ├── utils.py
│   ├── setup.py
│   ├── requirements.txt
│   ├── LICENSE