AAPM VL-4D CT/CBCT and Sparse Acquistions

2021 AAPM Virtual 63rd Annual Meeting - Session: 4D CT/CBCT and Sparse Acquistions

This video is currently visible only to AAPM Members, Affiliates and Developing Country Educational Associates. Embargo periods are typically one year from the date the presentation was first published.

Reference-Free, Learning-Based Rigid Motion Compensation in Cone-Beam CT for Interventional Neuroradiology
Heyuan Huang The Johns Hopkins University
hhuang91@jhmi.edu

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All videos in this session:

	A Deep Learning Technique for Projection Interpolation in CBCT Reconstruction - Ke Lu Duke University
	BEST IN PHYSICS (IMAGING): A GAN-Based Technique for Synthesizing Realistic Respiratory Motion in the 4D-XCAT Phantoms - Yushi Chang Duke University
	A Method for 4D Cone-Beam CT in Under 20 Seconds with New Generation Linacs - Samuel Blake ACRF Image-X Institute, The University of Sydney
	Dual-Encoder Convolutional Neural Network (DeCNN) for Average Image-Constrained 4D-CBCT Reconstruction - Zhuoran Jiang Duke Univeristy
	Faster Safer Clearer 4DCBCT: Results of the ADAPT Clinical Trial - Owen Dillon University of Sydney
	Rapid Low Dose 4DCBCT - Benjamin Lau University Of Sydney
	Q & A -

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AAPM Virtual Library

2021 AAPM Virtual 63rd Annual Meeting - Session: 4D CT/CBCT and Sparse Acquistions

This video is currently visible only to AAPM Members, Affiliates and Developing Country Educational Associates. Embargo periods are typically one year from the date the presentation was first published.