Validation of magnetic resonance imaging in pelvis dose planning
Saarinen, Visa (2023)
2023
Teknis-luonnontieteellinen DI-ohjelma - Master's Programme in Science and Engineering
Tekniikan ja luonnontieteiden tiedekunta - Faculty of Engineering and Natural Sciences
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Hyväksymispäivämäärä
2023-08-03
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202307087162
https://urn.fi/URN:NBN:fi:tuni-202307087162
Tiivistelmä
The common way to do dose planning in radiotherapy is using computed tomography. It is used because the data inherently has the electron density values. Computed tomography uses ionising radiation which is a health hazard, so there is need for alternatives. One such alternative is magnetic resonance imaging, which doesn't use ionising radiation but has other complications.
Recent advances have made magnetic resonance imaging a viable alternative, and it is proposed to replace computed tomography in radiotherapy dose planning.
The purpose of this project was to validate the use of magnetic resonance imaging for clinical use as the only imaging method in dose planning by comparing it to the results from using computed tomography.
The research was done by quantitatively comparing the dose plans made using regular computed tomography simulation data sets to ones obtained from the magnetic resonance imaging data.
Comparisons were made to data sets of 25 different patients with prostate cancer, each of whom were imaged with both magnetic resonance imaging and computed tomography, and the dose plans were computed with the Acuros XB algorithm.
After correcting for the differences in patient body rotation and shape due to the differences in the imaging conditions, the 95% confidence interval for the dose differences was found to be within 0.88%±0.13% of the computed tomography simulation images.
Based on these findings, dose calculations using magnetic resonance imaging data with the Acuros XB dose calculation algorithm are within expected limits.
Recent advances have made magnetic resonance imaging a viable alternative, and it is proposed to replace computed tomography in radiotherapy dose planning.
The purpose of this project was to validate the use of magnetic resonance imaging for clinical use as the only imaging method in dose planning by comparing it to the results from using computed tomography.
The research was done by quantitatively comparing the dose plans made using regular computed tomography simulation data sets to ones obtained from the magnetic resonance imaging data.
Comparisons were made to data sets of 25 different patients with prostate cancer, each of whom were imaged with both magnetic resonance imaging and computed tomography, and the dose plans were computed with the Acuros XB algorithm.
After correcting for the differences in patient body rotation and shape due to the differences in the imaging conditions, the 95% confidence interval for the dose differences was found to be within 0.88%±0.13% of the computed tomography simulation images.
Based on these findings, dose calculations using magnetic resonance imaging data with the Acuros XB dose calculation algorithm are within expected limits.