Open divital-coder opened 6 months ago
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
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
For Generative Adversarial Networks (GAN's) resources for medical imaging check out "Awesome GAN for medical imaging on github"
Currently making a reference "memo or mem" for loading nifti file data, u can find that here : https://mem.ai/p/rWZ9et3sk1U5gkybJdNK
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
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
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!