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Navigation in Robotic Radiosurgery Achim Schweikard
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beam Stereotactic Radiosurgery
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Conventional Procedure
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Stereotaxic Frame
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Arc motion
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Local Anesthesia
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Concept
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Image-Guidance
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Robot System
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Tumors in the chest or abdomen move due to respiration
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Respiratory Motion
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Respriatory Motion
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Safety Margin Tumor
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Beam
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Robotic Arm
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Volume of Sphere: 4/3 r 3
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Hysteresis
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Previous Work HD Kubo, BC Hill: Respiration gated radiotherapy treatment: a technical study. Phys. Med. Biol. 1996; 41: 83-91. T Tada et. al.:Lung cancer: Intermittent radiation synchronized with respiratory motion. Radiology, 1998; 207:779-783. MR Sonntag, ZW Lai: Characterization of respiratory motion for pediatric conformal 3D therapy. Med. Phys. 1996: 23: 1082.
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Image-Guidance
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Stereo X-Ray Camera System Camera ACamera B Gold fiducial
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Infrared Tracking
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Correlation
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DART
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System Overview
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Correlation external chest vs. external abdomen
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Motion Table Phantom Study (Overall Accuracy)
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Robot Tracking
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Prediction
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Phantom Study
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First Patient Treatment
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Measured Target Excursion vs. Correlation Error
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Follow-up Study
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Four months follow-up
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Treatment
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Synchrony
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Major Challenges Fiducial-less tracking
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Implanting of Gold Fiducials
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Respiration Courtesy Paul Sellars, JHU
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Fiducial-Less Tracking: Principle Compute or acquire 4D CT
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Principle Compute or acquire 4D CT Compute DRRs (2D Projections)
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Principle Compute or acquire 4D CT Compute DRRs (2D Projections) Live Shots (2D x-ray pair)
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Principle Compute or acquire 4D CT Compute DRRs (2D Projections) Live Shots (2D x-ray pair) Find the DRR that best matches live shots
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Principle „Ground truth“
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Principle i.e. Tumor position with time stamp
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Principle Thus: same ground truth information as in fiducial-based tracking is available
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Principle Correlation + Prediction real-time target position
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Principle CT-Scan Inhalation CT-Scan Exhalation Intermediate CT-Scan 1 Intermediate CT-Scan n... „4D CT“ Best match determines respiratory state and therefore tumor position
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Results Registration Implementation Uses Intensity-based rigid registration 2D/3D Optimization with the Hooke-Jeeves Pattern- Search Uses hardware-accelerated volume-rendering based on texture mapping as DRR generation technique Used metrics are correlation coefficient and mutual information
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Results 7D Registration
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Results single 2D/3D Registration
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Computing time 10 seconds per registration
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Conclusion Feasible w.r.t. computing time Feasibility w.r.t accuracy and reliability not yet established
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