Supporting references and further reads for better understanding of the NIfTI and DICOM functionality.

[divital-coder]

Gist of dicom data in python
https://towardsdatascience.com/dealing-with-dicom-using-imageio-python-package-117f1212ab82

Gist of NIfTI data in julia and python
https://brainder.org/2012/09/23/the-nifti-file-format/
https://peerherholz.github.io/workshop_weizmann/data/image_manipulation_nibabel.html#

^ above are some good starting points for newbies, who might want to consider reading more about the ecosystem and capabilities.
Feel free to include them in references as the documentation for the project grows!

[divital-coder]

The ITK implementation of loading nifti files, (consists up of stuff for loading and saving header and pixeldata from .nii)
--ITK c++ nifti file loading
--dicom to nifti python program which using numpy , pydicom and nibabel
--guide on working nifti files

[divital-coder]

Sample Reference Medical Imaging dataset links :
https://drive.google.com/drive/folders/1HqEgzS8BV2c7xYNrZdEAnrHk7osJJ--2
https://wiki.cancerimagingarchive.net/display/Public/RIDER+Lung+PET-CT
https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=23691656

More comprehensive ones 👍🏻
https://github.com/icometrix/dicom2nifti/tree/main/tests/data
https://nifti.nimh.nih.gov/nifti-1/data

[divital-coder]

For Generative Adversarial Networks (GAN's) resources for medical imaging
check out
"Awesome GAN for medical imaging on github"

[divital-coder]

Currently making a reference "memo or mem" for loading nifti file data, u can find that here :
https://mem.ai/p/rWZ9et3sk1U5gkybJdNK

[divital-coder]

Important Reference from:
nifti1._io.c file upon which ITKNiftiImageIO.cxx is based
nifti1_io.h file upon which ITKNiftiImageIO.cxx is based

[divital-coder]

References (from SITK) for loading spatial metadata
https://simpleitk.org/SimpleITK-Notebooks/01_Image_Basics.html
https://simpleitk.org/SPIE2019_COURSE/02_images_and_resampling.html
https://examples.itk.org/src/filtering/imagegrid/changeimageoriginspacingordirection/documentation
https://simpleitk.readthedocs.io/en/master/fundamentalConcepts.html

[divital-coder]

Amazing data science in julia chapter based book under geospatial stuff, also include pixel array transforms information around orientation and spacing.
https://juliaearth.github.io/geospatial-data-science-with-julia/05-transforms.html