Virtual Displacement Mapping

This repo is for the methods described in the paper.

Kuo CC, Huang TY, Lin YR, Chuang TC, Tsai SY, Chung HW, “Referenceless correction of EPI distortion with virtual displacement mapping” (2023),

• This repo is the version of the paper and only for Pytorch or a stand-alone exe.
• For updated version, please visit: https://github.com/htylab/tigerepi

The VDM pipeline for DTI distortion correction

Background

This package provides VDM distortion correction method for diffusion tensor images

Tutorial using VDM for EPI Distortion Correction

Download package

https://github.com/htylab/vdm/releases/main.zip 

Usage

As a command line tool:

• Clone this repository:

git clone https://github.com/htylab/vdm
cd ./vdm/vdm

• Run the predict code:

python predict.py INPUT -o OUTPUT

If INPUT points to a file, the file will be processed. If INPUT points to a directory, the directory will be searched for the specific format(nii.gz). OUTPUT is the output directory.

• For additional options type:

python predict.py -h

Exe module:

• Windows:

.\vdm.exe INPUT -o OUTPUT

For additional options type:

.\vdm.exe -h

• Linux or Mac:

./vdm INPUT -o OUTPUT

For additional options type:

./vdm -h