jpeg-autorotate
dcm2niix
| jpeg-autorotate | dcm2niix | |
|---|---|---|
| 1 | 6 | |
| 164 | 807 | |
| - | 2.6% | |
| 0.0 | 7.6 | |
| about 1 year ago | 8 days ago | |
| JavaScript | C++ | |
| MIT License | GNU General Public License v3.0 or later |
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jpeg-autorotate
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Anyone else have some images upside down when pushing to an s3 bucket?
I just found https://github.com/johansatge/jpeg-autorotate from a rabbit hole on stackoverflow talking about exif. Appeciate this man
dcm2niix
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I have a doubt in brain MRI scan
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.
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Conversion of DICOM to .nii.gz
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.
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Can somebody help me quantify spatial resolution in CT scans of mice?
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.
- Full-size 3D print of my brain
- Convert DICOM Slices to Nifti Using Nibabel(Python)
What are some alternatives?
next-img - A Next.js plugin for embedding optimized images.
brainflow - BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
imagemin - [Unmaintained] Minify images seamlessly
gdl - GDL - GNU Data Language
sharp - High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.
MRIcroGL - v1.2 GLSL volume rendering. Able to view NIfTI, DICOM, MGH, MHD, NRRD, AFNI format images.
exifr - 📷 The fastest and most versatile JS EXIF reading library.
DicomToMesh - A command line tool to transform a DICOM volume into a 3d surface mesh (obj, stl or ply). Several mesh processing routines can be enabled, such as mesh reduction, smoothing or cleaning. Works on Linux, OSX and Windows.
exif-thumbnail-adder - Android app to add thumbnail in the EXIF tag of JPEG pictures not having one (batch processing)
simnibs - Simulation of Non-Invasive Brain Stimulation
ESP32-targz - 🗜️ An Arduino library to unpack/uncompress tar, gz, and tar.gz files on ESP32 and ESP8266
3dprintyourbrain - How to 3D print your brain from a T1 MRI image.