MREJ: MRE elasticity reconstruction on ImageJ.

Area of Science:

• Biomedical Engineering
• Medical Imaging
• Computational Biology

Background:

• Magnetic Resonance Elastography (MRE) quantifies soft tissue elasticity using elastic waves.
• Accurate elasticity interpretation is crucial for MRE's clinical application in health evaluation and disease diagnosis.
• Existing MRE systems require effective actuating mechanisms, imaging protocols, and elasticity reconstruction algorithms.

Purpose of the Study:

• To introduce MREJ, an open-source platform for MRE image processing and elasticity reconstruction.
• To provide a user-friendly tool for translating MRE wave images into quantitative elasticity data.
• To enhance the accessibility and utility of MRE for the medical and research communities.

Main Methods:

• Development of the MREJ platform integrated with ImageJ.
• Implementation of two elasticity reconstruction algorithms utilizing spatiotemporal directional filtering.
• Validation of the platform through virtual palpation on phantoms and patient data.

Main Results:

• MREJ provides a functional and convenient solution for MRE image processing.
• The implemented algorithms successfully translate MRE wave images into elasticity interpretations.
• Virtual palpation demonstrated the platform's usability across various scenarios.

Conclusions:

• MREJ offers a valuable open-source tool for the MRE community.
• The platform facilitates more accessible and accurate soft tissue elasticity assessment.
• MREJ supports improved disease diagnosis and health evaluation through advanced MRE analysis.