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Multi-atlas-based CT synthesis from conventional MRI with patch-based refinement for MRI-based radiotherapy planning.

Junghoon Lee1, Aaron Carass2, Amod Jog2

  • 1Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, MD, USA.

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|November 17, 2017
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Summary

This study introduces a novel hybrid approach for synthesizing CT images from MRI, improving accuracy for both normal and abnormal tissues, especially tumors, crucial for radiotherapy planning.

Keywords:
CT synthesisMRI-based radiotherapy planningmulti-atlas registrationmulti-channel registrationpatch-based synthesis

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Area of Science:

  • Medical Imaging
  • Radiotherapy Planning
  • Computational Anatomy

Background:

  • Accurate CT synthesis from MRI is essential for MRI-based radiotherapy.
  • Current methods struggle with synthesizing abnormal tissues like tumors.
  • This limits the effectiveness of MRI-guided radiotherapy.

Purpose of the Study:

  • To develop an accurate CT synthesis method for both normal and abnormal tissues from MRI.
  • To improve MRI-based radiotherapy planning and dose computation.
  • To address the limitations of existing CT synthesis techniques.

Main Methods:

  • A multi-atlas-based hybrid synthesis approach combining multi-atlas registration and patch-based synthesis.
  • Multi-channel deformable registration of multi-parametric atlas MR images to target MR images.
  • Locally-weighted averaging fusion of deformed atlas CT images using SSIM, with fidelity assessment via synthetic MRIs.

Main Results:

  • The proposed method accurately synthesizes both normal and abnormal tissues.
  • Demonstrated noticeable improvement in tumor region synthesis on brain cancer patient data.
  • Automatic detection and refinement of poor synthesis regions using a fidelity measure.

Conclusions:

  • The hybrid multi-atlas and patch-based synthesis approach enhances CT synthesis accuracy from MRI.
  • This method offers a significant improvement for radiotherapy planning, particularly for tumor regions.
  • The developed technique shows promise for more precise MRI-based radiation therapy.