NiftiToPngConverter Documentation

Facebook
Twitter
LinkedIn

Introduction

The NiftiToPngConverter class is designed to convert medical images from the NIFTI format to PNG images. This class is a part of the pycad library and can be particularly useful in preprocessing steps for machine learning models that use medical images.

Important: Before performing the conversion, please check the values of max_v and min_v to properly window the Hounsfield Units. For more information, consult this video.

Installation

To use this class, make sure to import it as follows:

from pycad.converters import NiftiToPngConverter

Usage

Initialize the NiftiToPngConverter class with optional parameters for the Hounsfield window (max_v and min_v).

converter = NiftiToPngConverter(max_v=200, min_v=-200)

Methods

__init__(max_v=200, min_v=-200)

Initializes the converter object.

  • max_v: The maximum Hounsfield Unit for windowing. Default is 200.
  • min_v: The minimum Hounsfield Unit for windowing. Default is -200.

prepare_image(image_data, data_type='vol')

Prepares the image data for conversion. This function normalizes the images based on the provided Hounsfield window.

  • image_data: The image data in numpy array form.
  • data_type: Either ‘vol’ for volume or ‘seg’ for segmentation.

convert_nifti_to_png(in_dir, out_dir, data_type)

Converts a single NIFTI file into PNG images. Images are saved in the specified output directory.

  • in_dir: The directory containing the input NIFTI file.
  • out_dir: The directory to save the output PNG files.
  • data_type: Either ‘vol’ for volume or ‘seg’ for segmentation.

convert_nifti_to_png_dir(in_dir, out_dir, data_type)

Converts multiple NIFTI files in a directory into PNG images.

  • in_dir: The directory containing the input NIFTI files.
  • out_dir: The directory to save the output PNG files.
  • data_type: Either ‘vol’ for volume or ‘seg’ for segmentation.

run(in_dir_vol=None, in_dir_seg=None, out_dir=None)

The main function to perform the conversion for both volumes and segmentations.

  • in_dir_vol: The directory containing the volume NIFTI files.
  • in_dir_seg: The directory containing the segmentation NIFTI files.
  • out_dir: The directory to save the output PNG files.

Examples

Example 1: Converting a Single NIFTI File

# Initialize the converter
converter = NiftiToPngConverter(max_v=200, min_v=-200)

# Convert a single NIFTI file to PNG
converter.convert_nifti_to_png('path/to/nifti/file', 'path/to/output/dir', 'vol')

Example 2: Converting Multiple NIFTI Files

# Initialize the converter
converter = NiftiToPngConverter(max_v=200, min_v=-200)

# Convert multiple NIFTI files to PNG
converter.convert_nifti_to_png_dir('path/to/nifti/directory', 'path/to/output/dir', 'vol')

More to explorer

Making Sense of AI in Medical Images

Explore how AI revolutionizes medical imaging, enhancing diagnosis and treatment. Dive into real-world AI applications for better healthcare outcomes.