MRX - MR Expertise

Funded by START-interaktiv (BMFTR, February 2026 - January 2029).

3 - year - goal of MRX

Creating MRX: Assistant, an intelligent AI assistant, supporting clinic personell with MR measurements. An LLM allows easy interaction without prior training. A deep integration with the scanner means full data insight and quick interaction with the user. An extensive, physics based world model delivers facts instead of hallucinations.

The necessary tools for this project will also form the foundation of future applications of MRX: Sequence development, optimizing for low-cost hardware, training of new reconstruction networks and more.

Building Blocks

The foundation of MRX: Assistant consists of various building blocks. These are developed independent of each other. This allows to use them to construct new products which go beyond the target of an assistant.

• MRX: ToolAPI: Connect any application with any MRX world-model tool, easily. Allows quick experimentation: comparing implementations, testing tools in various scenarios. Developed first as it helps with the development of the other building blocks.
• MRX: Pulseq: Create sequences with a fully pypulseq copmatible API. Supports .seq files and is MRX: ToolAPI compatible.
• Tools: Tools built in Rust and Python, using the MRX: ToolAPI.
• Apps: Apps using different Tools to build Products.