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Dynamic CBCT Imaging using Prior Model-Free Spatiotemporal Implicit Neural Representation (PMF-STINR).

Hua-Chieh Shao1, Tielige Mengke1, Tinsu Pan2

  • 1The Medical Artificial Intelligence and Automation (MAIA) Laboratory Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

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Summary

A new AI method, prior-model-free spatiotemporal implicit neural representation (PMF-STINR), reconstructs dynamic cone-beam CT (CBCT) from limited X-ray data. This technology accurately captures intricate patient motion for improved radiotherapy.

Keywords:
Dynamic CBCTdata-driven motion modelingdeformable registrationimage reconstructionimplicit neural representation

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Area of Science:

  • Medical Physics
  • Radiotherapy Imaging
  • Machine Learning in Medical Imaging

Background:

  • Dynamic cone-beam computed tomography (CBCT) is crucial for radiotherapy motion monitoring and adaptive planning.
  • Reconstructing dynamic CBCT is challenging due to sparse projections and rapid anatomical motion, creating an ill-posed spatiotemporal problem.

Approach:

  • Developed prior-model-free spatiotemporal implicit neural representation (PMF-STINR) for dynamic CBCT reconstruction.
  • Employs joint image reconstruction and registration using spatial and temporal implicit neural representations.
  • Integrates a learned B-spline motion model for capturing intra-scan deformable motion in a one-shot, prior-model-free manner.

Key Points:

  • PMF-STINR achieves accurate and robust dynamic CBCT reconstruction from limited X-ray projections.
  • The method captures highly irregular motion with high temporal resolution (~0.1s) and sub-millimeter accuracy.
  • Evaluated using digital phantoms, physical phantoms, and multi-institutional patient data across various imaging protocols.

Conclusions:

  • PMF-STINR reconstructs dynamic CBCTs and resolves intra-scan motion without prior models or motion sorting.
  • Offers richer motion information compared to traditional 4D-CBCT, showing promise for advanced motion management in radiotherapy.