Diffantom: Whole-Brain Diffusion MRI Phantoms Derived from Real Datasets of the Human Connectome Project
Project description
Diffantom is a whole-brain diffusion MRI (dMRI) phantom publicly available through the Dryad Digital Repository (doi:10.5061/dryad.4p080). The dataset contains two single-shell dMRI images, along with the corresponding gradient information, packed following the BIDS standard (Brain Imaging Data Structure, Gorgolewski et al., 2015). The released dataset is designed for the evaluation of the impact of susceptibility distortions and benchmarking existing correction methods.
This project contains the software instruments involved in generating diffantoms, so that researchers are able to generate new phantoms derived from different subjects, and apply these data in other applications like investigating diffusion sampling schemes, the assessment of dMRI processing methods, the simulation of pathologies and imaging artifacts, etc. In summary, Diffantom is intended for unit testing of novel methods, cross-comparison of established methods, and integration testing of partial or complete processing flows to extract connectivity networks from dMRI.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file diffantom-1.0.0.tar.gz
.
File metadata
- Download URL: diffantom-1.0.0.tar.gz
- Upload date:
- Size: 16.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a22e48d96e6b6129485449cbb29db2264f37d62f88c9e386229489160e376fdf |
|
MD5 | 3c10bdef59e72a458ac248264b9b2f02 |
|
BLAKE2b-256 | d145c1d6f922fbf6351a1d6ea4f76ab06926b712eda709c23e153cfad6d8d33b |
File details
Details for the file diffantom-1.0.0-py2.7.egg
.
File metadata
- Download URL: diffantom-1.0.0-py2.7.egg
- Upload date:
- Size: 38.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f438a2ca37ba6248433b2b4de91847e4ddc8852fe17e1fb2236a64a58f9fff83 |
|
MD5 | 0f718cbf28b6e4e95c85e3c03f43277d |
|
BLAKE2b-256 | 1ebc525673d42d3f4f0a7aede5e5c8e39270d0f7baab993456a1e77fe78aff22 |