MINeR

Official code for "MINeR: Direction-modulated implicit neural representation enables ultrafast multi-shell diffusion MRI"
This repo holds the codes for MINeR.

---

1. Environmental Requirements

To run the reconstruction demo, the following dependencies are required:

• Python 3.10
• PyTorch 2.0.0
• tinycudann 1.7
• numpy 1.22.4
• nibabel 5.3.2
• (optional) matplotlib, tensorboard, h5py

---

2. Sample Data

This repo provides a toy undersampled demo dataset in demo_data/.
Full datasets can be downloaded from the HCP (Human Connectome Project) database.

---

3. Files Descriptions

MINeR/
├── run_demo.py # Demo script for training & interpolation
├── MINeR.pyc # Compiled core implementation
└── demo_data/ # Toy undersampled DWI data

---

4. Usage

To test the performance of MINeR, run the following command:

python run_demo.py --gpu 0 --epochs 1000 --summary_epoch 200