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Dcm2niix Alternatives
Similar projects and alternatives to dcm2niix
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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brainflow
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
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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.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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ESP32-targz
🗜️ An Arduino library to unpack/uncompress tar, gz, and tar.gz files on ESP32 and ESP8266
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GDCM
Grassroots DICOM read-only mirror. Only for Pull Request. Please report bug at http://sf.net/p/gdcm
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better dcm2niix alternative or higher similarity.
dcm2niix reviews and mentions
Posts with mentions or reviews of dcm2niix.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-25.
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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)
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Stats
Basic dcm2niix repo stats
6
798
7.8
7 days ago
rordenlab/dcm2niix is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of dcm2niix is C++.
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