AAPM VL-Real-time Tracking and Adaptive Radiation Therapy

2021 AAPM Virtual 63rd Annual Meeting - Session: Real-time Tracking and Adaptive Radiation Therapy

Automatic Stent Recognition Using Deep Neural Network for Quantitative Intra-Fractional Motion Monitoring in Pancreatic Cancer Radiotherapy
Xiuxiu He Memorial Sloan Kettering Cancer Institute

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All videos in this session:

	Dual-Energy Real-Time Stereoscopic X-Ray Image Guidance for Markerless Lung Tumor Tracking - Mike Sattarivand, PhD Nova Scotia Health Authority
	Implementation of High-Quality Motion-Compensated Simultaneous Algebraic Reconstruction Technique (mc-SART) Cone-Beam CT (CBCT) Imaging Using the 5D Model in a Prospective Patient Study - Kamal Singhrao
	One-Second Into the Future: A Deep Learning Method to Predict 3D Lung Cancer Target Motion to Account for Adaptation Latency - Doan Trang Nguyen University of Technology Sydney
	BEST IN PHYSICS (MULTI-DISCIPLINARY): Real-Time Dose-Optimized Multi-Target MLC Tracking for Locally Advanced Prostate Cancer - Emily Hewson
	Synthesizing Real-Time In-Treatment 4D Images Based On Optical Surface Signals and Pre-Treatment Images: A Proof-Of-Concept Study - Yuliang Huang Department of Radiotherapy, Peking University Cancer Hospital & Institute
	Evaluating the Clinical Impact and Accuracy of Real-Time KV Imaging in Liver SBRT - Andrew Santoso, MS University of Colorado Anschutz Medical Campus
	Q & A -

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2021 AAPM Virtual 63rd Annual Meeting - Session: Real-time Tracking and Adaptive Radiation Therapy