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Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
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Technical note: Towards more realistic 4DCT(MRI) numerical lung phantoms.

Timothy Jenny1,2, Alisha Duetschler1,2, Alina Giger3,4

  • 1Center for Proton Therapy, Paul Scherrer Institute, Villigen, Switzerland.

Medical Physics
|May 11, 2023
PubMed
Summary

This study enhances 4D numerical phantoms for radiotherapy simulations by adding realistic ribcage motion and lung density. These improved phantoms offer more accurate data for respiratory motion management.

Keywords:
lungnumerical phantomproton therapy

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Area of Science:

  • Medical imaging and simulation
  • Radiotherapy and radiology
  • Computational modeling

Background:

  • Numerical 4D phantoms provide essential data for simulating respiratory motion in radiotherapy and radiology.
  • Realistic simulations require accurate representations of anatomical motion and density changes.

Purpose of the Study:

  • To upgrade existing methods for generating 4D CT lung numerical phantoms.
  • To incorporate realistic respiratory ribcage motion and improved lung density representation.
  • To provide openly available, enhanced phantoms for research.

Main Methods:

  • Combined density information from CTs with motion data from 4D MRIs to create synthetic 4DCTs.
  • Utilized deformable image registration (DIR) to establish inter-subject correspondence and extract motion.
  • Applied voxel-wise lung density scaling based on Jacobian determinants to improve accuracy.

Main Results:

  • Lung density scaling reduced Hounsfield Unit differences from 45 to 12 HU.
  • 4D dose calculations on enhanced phantoms showed over 97% 2%/2 mm gamma pass rates.
  • Demonstrated a 1.4% average improvement in dose distribution accuracy compared to previous phantoms.

Conclusions:

  • Successfully improved a 4DCT(MRI) workflow for generating numerical phantoms.
  • The enhanced phantoms exhibit more accurate lung density and realistic ribcage motion.
  • These advancements contribute to more reliable simulations in radiation oncology.