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

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

Somayeh Taghizadeh123, Cecille Labuda3, Claus Chunli Yang1, Bart Morris1, Madhava R. Kanakamedala1, Srinivasan Vijayakumar1, Roberto Rey-Dios14, William N. Duggar1, Edward Florez2, Ali Fatemi12
DOI: 10.1016/j.rpor.2018.09.010
Rep Pract Oncol Radiother 2019;24(1):12-19.

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.

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Reports of Practical Oncology and Radiotherapy