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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

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Published on: December 18, 2016

CT substitute derived from MRI sequences with ultrashort echo time.

Adam Johansson¹, Mikael Karlsson, Tufve Nyholm

¹Department of Radiation Sciences, Umeå University, Umeå, Sweden. adam.johansson@radfys.umu.se

Medical Physics

|July 23, 2011

Summary

This study introduces a novel method to generate substitute CT (s-CT) images from MRI data, crucial for PET/MRI and radiation therapy. The approach accurately estimates CT information, offering a viable alternative to traditional CT scans.

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Area of Science:

Medical Imaging
Radiotherapy Physics
Biomedical Engineering

Background:

Computed tomography (CT) equivalent information from magnetic resonance (MR) imaging is essential for PET/MRI attenuation correction and radiotherapy workflows.
Current methods lack sufficient accuracy or introduce geometrical inaccuracies.

Purpose of the Study:

To develop and validate a method for generating substitute CT (s-CT) images from MR images.
To provide CT-equivalent information for applications like PET/MRI and MRI-based radiotherapy.

Main Methods:

A Gaussian mixture regression model was trained using matched MR and CT data.
The model links voxel values from T2-weighted and dual-echo ultrashort echo time MRI sequences to CT values.
Leave-one-out cross-validation was performed on datasets from five patients.

Main Results:

The developed method achieved a mean absolute error of 137 HU for CT numbers in s-CT images.
The method demonstrated robustness across different patients and accurately distinguished between tissue types.
Largest errors were observed at air-tissue and bone-tissue interfaces.

Conclusions:

The voxel-based s-CT method provides accurate CT information estimation from MRI.
s-CT images are suitable alternatives for dose planning in radiotherapy and attenuation correction in PET/MRI.
This technique avoids geometrical inaccuracies associated with traditional CT.