Draft Status
Ready - team will start page creating immediately
Category
Quantification and Computation
Key Investigators
- Ciro Benito Raggio (Karlsruhe Institute of Technology, Germany)
- Paolo Zaffino (Magna Graecia University of Catanzaro, Italy)
- Maria Francesca Spadea (Karlsruhe Institute of Technology, Germany)
Project Description
SlicerModalityConverter is a 3D Slicer extension designed for medical image-to-image (I2I) translation.
The ModalityConverter module provides a user-friendly interface for integrating multiple AI models trained for I2I translation (currently MRI-to-CT). It also supports GPU acceleration for faster inference, and is designed to allow users to easily integrate custom models.
More about the module here: https://github.com/ciroraggio/SlicerModalityConverter
Objective
- Integration of new translation models for T1w-to-T2w MRI translation.
- Creating use case examples with video tutorials.
Approach and Plan
-
Integrate two new pre-trained models for T1w-to-T2w translation (presented in this study and released in this repository), following the guidelines reported in the module documentation for integrating custom models.
-
Create video tutorials demonstrating the common uses of existing models. For example, show how to use MRI-to-synthetic CT translation models to extract the skull's representation from a T1w brain MRI.
Progress and Next Steps
- Describe specific steps you have actually done.
Illustrations
No response
Background and References
No response
Draft Status
Ready - team will start page creating immediately
Category
Quantification and Computation
Key Investigators
Project Description
SlicerModalityConverter is a 3D Slicer extension designed for medical image-to-image (I2I) translation.
The ModalityConverter module provides a user-friendly interface for integrating multiple AI models trained for I2I translation (currently MRI-to-CT). It also supports GPU acceleration for faster inference, and is designed to allow users to easily integrate custom models.
More about the module here: https://github.com/ciroraggio/SlicerModalityConverter
Objective
Approach and Plan
Integrate two new pre-trained models for T1w-to-T2w translation (presented in this study and released in this repository), following the guidelines reported in the module documentation for integrating custom models.
Create video tutorials demonstrating the common uses of existing models. For example, show how to use MRI-to-synthetic CT translation models to extract the skull's representation from a T1w brain MRI.
Progress and Next Steps
Illustrations
No response
Background and References
No response