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Published on: September 6, 2024
Gated CT imaging using a free-breathing respiration signal from flow-volume spirometry
Warren D D'Souza1, Young Kwok, Chad Deyoung
1Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA. wdsou001@umaryland.edu
Respiration-induced tumor motion causes inaccuracies in CT imaging for radiation therapy. Motion-gated CT using flow-volume spirometry significantly reduces target volume errors, improving treatment planning accuracy.
Area of Science:
- Medical Imaging
- Radiation Oncology
- Respiratory Gating
Background:
- Respiration causes tumor motion artifacts in free-breathing CT scans.
- Inaccurate target volume delineation on CT planning images impacts radiation therapy efficacy.
- Active breathing control (ABC) systems utilize flow-volume spirometry for breath-holds.
Purpose of the Study:
- To develop and test a prototype for motion-gated CT acquisition using flow-volume spirometry.
- To evaluate the reduction of errors in target volume estimation caused by respiratory motion.
- To assess the clinical applicability of motion-gated CT in lung and abdominal cancer patients.
Main Methods:
- A prototype extending flow-volume spirometry for gated CT scans was developed.
- Motion phantoms simulated respiratory motion (3-5s periods, 0.5-2cm amplitudes).
- Gated and non-gated spiral and axial CT scans were acquired and compared.
Main Results:
- Phantom studies showed volume estimation errors up to 30% without gating, reduced to within 5% with motion-gated CT.
- Clinical cases (lung, abdomen) demonstrated reduced artifacts and volume differences up to 20% with gated scans.
- Gated CT scans showed improved structural overlap compared to free-breathing scans.
Conclusions:
- Flow-volume spirometry-based gating effectively reduces CT imaging artifacts caused by respiration.
- Motion-gated CT significantly improves the accuracy of target volume delineation for radiation therapy planning.
- This technique enhances precision in radiation oncology by minimizing motion-related errors.
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