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Using synthetic CT for partial brain radiation therapy: Impact on image guidance
Eric D Morris1, Ryan G Price2, Joshua Kim3
1Department of Radiation Oncology, Henry Ford Health System, Detroit, Michigan; Department of Radiation Oncology, Wayne State University School of Medicine, Detroit, Michigan.
Synthetic CT (synCT) from MRI data offers robust geometric accuracy for brain cancer image-guided radiation therapy (IGRT). While statistically significant differences exist, they are not clinically significant, paving the way for MRI-only treatment planning.
Area of Science:
- Medical Physics
- Radiation Oncology
- Medical Imaging
Background:
- Advancements in synthetic computed tomography (synCT) from magnetic resonance (MR) imaging enable MRI-only treatment planning for brain cancers.
- The performance of synCT for image-guided radiation therapy (IGRT) requires thorough evaluation.
Purpose of the Study:
- To compare the geometric equivalence of digitally reconstructed radiographs (DRRs) generated from synCT and conventional CT scans.
- To quantify the performance of synCT for partial brain IGRT.
Main Methods:
- Generated synCTs by combining multiple MR sequences (ultra-short echo time, T1, T2, FLAIR) using voxel-based weighted summation.
- Compared DRRs from synCT and CT using overlap index, Dice similarity coefficient, and Jaccard index.
- Assessed 2D-2D rigid registrations for 1490 fractions to quantify shifts and differences between CT and synCT.
Main Results:
- DRR agreements (overlap index, Dice, Jaccard) exceeded 0.95, indicating robust geometric equivalence.
- Normalized mutual information results were equivalent in 75% of evaluated quadrants.
- Population average absolute shifts were clinically insignificant (<1 mm), though synCT showed sensitivity in postsurgical cases.
Conclusions:
- The geometric accuracy of DRRs derived from synCT is robust for brain cancer IGRT.
- Observed statistical differences between CT and synCT registrations were not clinically significant.
- Further research is needed to optimize synCT generation for postsurgical brain cancer patients.
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