dcm2niix VS ESP32-targz

Keep in mind that DICOM images are always converted to the NIfTI format when dealing with neuroimaging data, so the different software are expecting this image type. You should always keep the original DICOM files in your archive, but convert them to NIfTI and use that as your raw data input. To convert DICOM to NIfTI, you can use a tool like dcm2niix dcm2niix.

When I try to execute the .exe in the link you have provided the program does not run. However, according to this site: https://github.com/rordenlab/dcm2niix! the niix is included in MRIcroGL which I have tried.

The spatial resolution of the scan is typically in the DICOM header, isn't it? Maybe try running the DICOM through something like dcm2niix (https://github.com/rordenlab/dcm2niix) which will convert to a NIFTI formatted image and generate a JSON file from the header. The header support isn't complete, so it might not get things correct from your CT image (or from an animal scanner for that matter), but it's worth a shot. I imagine there are similar tools for CT.

Sounds super simple to download images via a webserver, just have a page that dumps the contents of the SD card ( if you using it to save the images ) back as TGZ format. https://github.com/tobozo/ESP32-targz

I am engineering a watch to play home videos of my children on my wrist - my Reflections project. I need an easy way to move multiple files from a Cloud based service to the watch. tar) and GZip are widely used standards to build and compress an archive of binary (for example, movies and sound files) and text (for example, JSON encoded procedural scripting command) files. Using tar I simplify my code to move one tar file instead of multiple individual files. The ESP32-targz library combines uzlib and TinyUntar to decompress and inflate tar files and works well with Arduino IDE 1.8.13, ESP32, and an SD card. This is my developer’s journal of the problems that I encountered and the work-arounds I used.