open access

Vol 24, No 1 (2019)
Original research articles
Published online: 2019-01-01
Submitted: 2017-11-13
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Optimizing MRI sequences and images for MRI-based stereotactic radiosurgery treatment planning

Somayeh Taghizadeh, Cecille Labuda, Claus Chunli Yang, Bart Morris, Madhava R. Kanakamedala, Srinivasan Vijayakumar, Roberto Rey-Dios, William N. Duggar, Edward Florez, Ali Fatemi
DOI: 10.1016/j.rpor.2018.09.010
·
Rep Pract Oncol Radiother 2019;24(1):12-19.

open access

Vol 24, No 1 (2019)
Original research articles
Published online: 2019-01-01
Submitted: 2017-11-13

Abstract

Aim

Development of MRI sequences and processing methods for the production of images appropriate for direct use in stereotactic radiosurgery (SRS) treatment planning.

Background

MRI is useful in SRS treatment planning, especially for patients with brain lesions or anatomical targets that are poorly distinguished by CT, but its use requires further refinement. This methodology seeks to optimize MRI sequences to generate distortion-free and clinically relevant MR images for MRI-only SRS treatment planning.

Materials and methods

We used commercially available SRS MRI-guided radiotherapy phantoms and eight patients to optimize sequences for patient imaging. Workflow involved the choice of correct MRI sequence(s), optimization of the sequence parameters, evaluation of image quality (artifact free and clinically relevant), measurement of geometrical distortion, and evaluation of the accuracy of our offline correction algorithm.

Results

CT images showed a maximum deviation of 1.3mm and minimum deviation of 0.4mm from true fiducial position for SRS coordinate definition. Interestingly, uncorrected MR images showed maximum deviation of 1.2mm and minimum of 0.4mm, comparable to CT images used for SRS coordinate definition. After geometrical correction, we observed a maximum deviation of 1.1mm and minimum deviation of only 0.3mm.

Conclusion

Our optimized MRI pulse sequences and image correction technique show promising results; MR images produced under these conditions are appropriate for direct use in SRS treatment planning.

Abstract

Aim

Development of MRI sequences and processing methods for the production of images appropriate for direct use in stereotactic radiosurgery (SRS) treatment planning.

Background

MRI is useful in SRS treatment planning, especially for patients with brain lesions or anatomical targets that are poorly distinguished by CT, but its use requires further refinement. This methodology seeks to optimize MRI sequences to generate distortion-free and clinically relevant MR images for MRI-only SRS treatment planning.

Materials and methods

We used commercially available SRS MRI-guided radiotherapy phantoms and eight patients to optimize sequences for patient imaging. Workflow involved the choice of correct MRI sequence(s), optimization of the sequence parameters, evaluation of image quality (artifact free and clinically relevant), measurement of geometrical distortion, and evaluation of the accuracy of our offline correction algorithm.

Results

CT images showed a maximum deviation of 1.3mm and minimum deviation of 0.4mm from true fiducial position for SRS coordinate definition. Interestingly, uncorrected MR images showed maximum deviation of 1.2mm and minimum of 0.4mm, comparable to CT images used for SRS coordinate definition. After geometrical correction, we observed a maximum deviation of 1.1mm and minimum deviation of only 0.3mm.

Conclusion

Our optimized MRI pulse sequences and image correction technique show promising results; MR images produced under these conditions are appropriate for direct use in SRS treatment planning.

Get Citation

Keywords

MRI; Stereotactic radiosurgery planning; Tumor

About this article
Title

Optimizing MRI sequences and images for MRI-based stereotactic radiosurgery treatment planning

Journal

Reports of Practical Oncology and Radiotherapy

Issue

Vol 24, No 1 (2019)

Pages

12-19

Published online

2019-01-01

DOI

10.1016/j.rpor.2018.09.010

Bibliographic record

Rep Pract Oncol Radiother 2019;24(1):12-19.

Keywords

MRI
Stereotactic radiosurgery planning
Tumor

Authors

Somayeh Taghizadeh
Cecille Labuda
Claus Chunli Yang
Bart Morris
Madhava R. Kanakamedala
Srinivasan Vijayakumar
Roberto Rey-Dios
William N. Duggar
Edward Florez
Ali Fatemi

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