EasyReg
EasyReg performs symmetric multi-modality registration of brain magnetic resonance imaging (MRI) to enable accurate alignment across modalities and resolutions.
Key Features:
- Symmetric Registration: Ensures symmetry in the registration process for unbiased image alignment.
- Diffeomorphic Transformations: Produces diffeomorphic transformations that are invertible and smooth to preserve anatomical topology.
- Modality and Resolution Agnosticism: Operates independently of MRI modality and resolution to handle diverse imaging scenarios.
- Affine and Nonlinear Compatibility: Supports both affine and nonlinear registration models for comprehensive alignment.
- Domain Randomization: Incorporates domain randomization to enhance robustness to modality and resolution changes.
- Performance: Empirical results show comparable performance to classical methods for 1 mm isotropic single-modality registration and superior accuracy across different modalities and resolutions.
Scientific Applications:
- Multi-modality Alignment: Aligning different MRI modalities for integrated analysis.
- Longitudinal Analysis: Measuring anatomical changes over time in longitudinal studies.
- Template Mapping: Mapping individual scans to a standardized template for group analyses.
- Registration-based Segmentation: Facilitating segmentation by transferring labels or priors via registration.
Methodology:
Leverages domain randomization and combines classical registration methods with modern deep learning techniques.
Topics
Details
- License:
- GPL-2.0
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 11/10/2023
- Last Updated:
- 11/24/2024
Operations
Publications
Iglesias JE. A ready-to-use machine learning tool for symmetric multi-modality registration of brain MRI. Scientific Reports. 2023;13(1). doi:10.1038/s41598-023-33781-0. PMID:37095168. PMCID:PMC10126156.
PMID: 37095168
PMCID: PMC10126156
Funding: - National Institutes of Health: 1RF1-MH123195
- Alzheimer’s Research UK: ARUK-IRG2019A-003