File size: 2,111 Bytes
6adec41 5c0d5c2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 |
---
language: en
tags:
- diffusion-models
- medical-imaging
- glioma
- synthetic-data
- MRI
license: mit
datasets:
- BraTS2024
model-index:
- name: GliomaGen
results:
- task:
type: image-generation
dataset:
name: BraTS2024 Adult Post-Treatment Glioma
type: medical-imaging
metrics:
- name: FID (t1c)
type: frechet-inception-distance
value: 55.2028 ± 3.7446
- name: FID (t2w)
type: frechet-inception-distance
value: 54.9974 ± 3.2271
- name: KID (t1c)
type: kernel-inception-distance
value: 0.0293 ± 0.0019
- name: MS-SSIM (t1c)
type: multi-scale-structural-similarity
value: 0.7647 ± 0.2106
---
# GliomaGen: Conditional Diffusion for Post-Treatment Glioma MRI Generation
GliomaGen is a generative diffusion model tailored for synthesizing post-treatment glioma MRI images based on anatomical masks. It leverages a modified **Med-DDPM** architecture to create high-fidelity MRI images conditioned on segmented anatomical features.
## Model Overview
GliomaGen aims to address data scarcity in post-treatment glioma segmentation tasks by expanding existing datasets with synthetic, high-quality MRI volumes. The model takes anatomical masks as input and generates multi-modal MRI scans conditioned on segmentation labels.
## Model Performance
### **Quantitative Metrics**
| Modality | FID (↓) | KID (↓) | MS-SSIM (↑) |
|----------|--------|--------|-------------|
| t1c | 55.20 ± 3.74 | 0.0293 ± 0.0019 | 0.7647 ± 0.2106 |
| t2w | 54.99 ± 3.23 | 0.0291 ± 0.0010 | 0.6513 ± 0.2881 |
| t1n | 58.46 ± 3.86 | 0.0305 ± 0.0011 | 0.7005 ± 0.2585 |
| t2f | 70.42 ± 4.17 | 0.0370 ± 0.0018 | 0.7842 ± 0.1551 |
## Usage
To use GliomaGen for MRI generation, see the [GitHub repository](https://github.com/elijahrenner/gliomagen).
## BraTS 2024 Adult Post-Treatment Glioma-Synthetic
Alongisde GliomaGen, a synthetic dataset of $N=2124$ MR images is released on HuggingFace. |