Documentation/Nightly/Modules/T1 Mapping

For the latest Slicer documentation, visit the read-the-docs.

Introduction and Acknowledgements

Extension: T1_Mapping Acknowledgments: This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, and by National Cancer Institute as part of the Quantitative Imaging Network initiative (U01CA154601) and QIICR (U24CA180918). Implementation of the T1 Mapping was contributed by Xiao Da from MGH. Author: Xiao Da (MGH), Artem Mamonov (MGH), Jayashree Kalpathy-Cramer (MGH) and Andriy Fedorov (BWH) Contact: Xiao Da, <email>XDA@mgh.harvard.edu</email>

National Alliance for Medical Image Computing (NA-MIC)   Quantitative Image Informatics for Cancer Research   Martinos Center for Biomedical Imaging

Module Description

T1 mapping estimates effective tissue parameter maps (T1) from multi-spectral FLASH MRI scans with different flip angles.

Use Cases

• Takes an arbitrary number of multi-spectral FLASH images as input, and estimates the T1 values of the data for each voxel
• Read repetition time(TR), echo time(TE) and the flip angles from the Dicom header directly
• Prostate, brain, head & neck, cervix, breast and etc.

Sample Results of T1 Mapping

Panels and their use

T1 Mapping

Parameters: Input Volume: Multi-spectral FLASH MRI on multi-volume dicom format Output Volume: T1 mapping result calculated at each voxel

Similar Modules

• MultiVolumeExplorer
• MultiVolumeImporter
• PkModeling

References

• QIBA T1 phantom
• Basic equation for T1 mapping

Information for Developers

Source code: https://github.com/QIICR/T1_Mapping