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Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

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WE-G-217A-03: Respiratory-Related External/Internal Motion Based MR Image Reconstruction Using Dynamic Keyhole for

D Lee¹, S Pollock¹, P Keall¹

¹The unversity of Sydney, Camperdown, NSW.

Medical Physics

|May 19, 2017

Summary

This summary is machine-generated.

A new dynamic keyhole MRI technique uses respiratory motion to significantly improve image quality and reduce acquisition time for real-time tumor monitoring, outperforming conventional methods.

Keywords:

Cancer Germanium Image reconstruction Lungs Magnetic resonance imaging Medical image artifacts Medical image quality Medical image reconstruction Medical imaging Medical magnetic resonance imaging

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Area of Science:

Medical Imaging
Radiology
Magnetic Resonance Imaging

Background:

Respiratory motion significantly degrades thoracic MRI quality.
Real-time tumor monitoring requires rapid, high-quality imaging.
Conventional keyhole MRI techniques have limitations in motion artifact reduction.

Purpose of the Study:

To evaluate a dynamic keyhole MRI reconstruction technique using respiratory motion surrogates.
To compare its performance against conventional keyhole and zero-filling methods.
To assess its efficacy in reducing acquisition time while maintaining image quality for tumor monitoring.

Main Methods:

Acquired 46 thoracic MRI studies from 13 healthy subjects at 3T.
Reconstructed images using zero-filling, conventional keyhole, and dynamic keyhole techniques.
Utilized external/internal respiratory motion surrogates (abdominal muscles, diaphragm) to guide dynamic keyhole reconstruction.

Main Results:

Dynamic keyhole significantly improved image quality compared to zero-filling and conventional keyhole.
Achieved higher k-space undersampling rates: 79.7% (external) and 84.5% (internal) vs. 63.9-74.3%.
Validated dynamic keyhole on lung tumor MR images, showing no artifacts or resolution loss.

Conclusions:

Dynamic keyhole MRI with respiratory motion surrogates reconstructs high-resolution images without artifacts.
This technique is suitable for real-time tumor monitoring in organs affected by respiratory motion, such as the lungs.