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Technical Note: MRI only prostate radiotherapy planning using the statistical decomposition algorithm.

Carl Siversson1, Fredrik Nordström2, Terese Nilsson3

  • 1Department of Medical Radiation Physics, Lund University, Malmö 205 02, Sweden and Spectronic Medical AB, Helsingborg 254 67, Sweden.

Medical Physics
|October 3, 2015
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Summary
This summary is machine-generated.

The Statistical Decomposition Algorithm (SDA) accurately generates synthetic CT (sCT) from MRI for radiotherapy planning. This MRI-only workflow shows negligible dosimetric uncertainties, improving prostate cancer treatment accuracy.

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Area of Science:

  • Medical Physics
  • Radiotherapy Technology
  • Image Processing

Background:

  • Radiotherapy planning typically requires both MRI and CT scans.
  • Generating synthetic CT (sCT) from MRI enables an MRI-only workflow, simplifying the process.
  • The Statistical Decomposition Algorithm (SDA) is a novel method for automated sCT generation from MRI.

Purpose of the Study:

  • To evaluate the accuracy of dose calculations using sCT generated by the SDA compared to conventional CT.
  • To assess the feasibility of an MRI-only workflow in prostate radiotherapy planning.

Main Methods:

  • Ten prostate cancer patients underwent both 3D T2 weighted MRI and conventional CT.
  • sCT images were generated from MRI using the SDA.
  • Volumetric modulated arc therapy plans were created and recalculated on registered CT (rCT), sCT, and conventional CT for comparison.

Main Results:

  • The mean average error (MAE) between sCT and rCT was 36.5 HU.
  • Average mean absorbed dose difference to the target was 0.0% for sCT vs rCT.
  • The gamma pass rate for sCT vs rCT was 99.9%, significantly higher than CT vs rCT (90.3%).

Conclusions:

  • The SDA facilitates a highly accurate MRI-only workflow for prostate radiotherapy.
  • Dosimetric uncertainties from the SDA are negligible and less than those from inter-imaging geometric variations.