dcm2niix
simnibs
dcm2niix | simnibs | |
---|---|---|
6 | 1 | |
807 | 105 | |
2.6% | 0.0% | |
7.6 | 9.1 | |
9 days ago | about 1 month ago | |
C++ | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dcm2niix
-
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.
-
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.
-
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)
simnibs
-
I have a doubt in brain MRI scan
What I would recommend is to use either SimNIBS, so you load the imaging data that you have and then it generates the mesh for you, since this program needs the mesh to perform brain stimulation simulations (you don't care about the simulation part, but only for the mesh). A direct tutorial reference for SimNIBS can be found here.
What are some alternatives?
jpeg-autorotate - 📸 Node module to rotate JPEG images based on EXIF orientation.
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.
brainflow - BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
gdl - GDL - GNU Data Language
MRIcroGL - v1.2 GLSL volume rendering. Able to view NIfTI, DICOM, MGH, MHD, NRRD, AFNI format images.
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.
gonii - Standalone NIfTI file parser
GDCM - Grassroots DICOM read-only mirror. Only for Pull Request. Please report bug at http://sf.net/p/gdcm