Surrogate-Driven Motion Model for Motion Compensated Cone-beam CT Reconstruction using Unsorted Projection Data
Author:
Affiliation:
1. University College London,Centre for Medical Image Computing,London,UK
Funder
Health
University College London
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10230311/10230322/10230761.pdf?arnumber=10230761
Reference19 articles.
1. Obtaining breathing patterns from any sequential thoracic x-ray image set
2. Generation of fluoroscopic 3D images with a respiratory motion model based on an external surrogate signal
3. Practical cone-beam algorithm
4. A generalized framework unifying image registration and respiratory motion models and incorporating image reconstruction, for partial image data or full images
5. Respiratory motion models: A review
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Data driven surrogate signal extraction for dynamic PET using selective PCA: time windows versus the combination of components;Physics in Medicine & Biology;2024-08-14
2. Surrogate-driven respiratory motion model for projection-resolved motion estimation and motion compensated cone-beam CT reconstruction from unsorted projection data;Physics in Medicine & Biology;2024-01-12
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