Improving the intra-fraction update efficiency of a correlation model used for internal motion estimation during real-time tumor tracking for SBRT patients: Fast update or no update?

2014 ◽  
Vol 112 (3) ◽  
pp. 352-359 ◽  
Author(s):  
Kenneth Poels ◽  
Tom Depuydt ◽  
Dirk Verellen ◽  
Thierry Gevaert ◽  
Jennifer Dhont ◽  
...  
Keyword(s):  
Motion Estimation ◽  
Real Time ◽  
Internal Motion ◽  
Correlation Model ◽  
Tumor Tracking

PO-1600: Evaluation of a High Dynamic Multileaf Collimator for Real-Time tumor tracking

2020 ◽  
Vol 152 ◽  
pp. S870-S871
Author(s):  
C. Murillo ◽  
S. Seeber ◽  
P. Haering ◽  
C. Lang ◽  
M. Splinter
Keyword(s):  
Real Time ◽  
Multileaf Collimator ◽  
Tumor Tracking ◽  
High Dynamic

scholarly journals A Versatile Theranostic Platform for Colorectal Cancer Peritoneal Metastases: Real‐Time Tumor‐Tracking and Photothermal‐Enhanced Chemotherapy

2021 ◽  
pp. 2102256
Author(s):  
Tao Sun ◽  
Guangping Zhang ◽  
Tingting Ning ◽  
Qinjun Chen ◽  
Yongchao Chu ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Real Time ◽  
Peritoneal Metastases ◽  
Tumor Tracking

scholarly journals Real-Time Lung Tumor Tracking Using a CUDA Enabled Nonrigid Registration Algorithm for MRI

2020 ◽  
Vol 8 ◽  
pp. 1-8
Author(s):  
Nazanin Tahmasebi ◽  
Pierre Boulanger ◽  
Jihyun Yun ◽  
Gino Fallone ◽  
Michelle Noga ◽  
...  
Keyword(s):  
Real Time ◽  
Lung Tumor ◽  
Nonrigid Registration ◽  
Registration Algorithm ◽  
Tumor Tracking

Fast Motion Estimation Algorithm Based on Real Time Monitoring

2011 ◽  
Vol 383-390 ◽  
pp. 5028-5033
Author(s):  
Xue Mei Xu ◽  
Qin Mo ◽  
Lan Ni ◽  
Qiao Yun Guo ◽  
An Li
Keyword(s):  
Motion Estimation ◽  
Real Time ◽  
Computation Time ◽  
Estimation Algorithm ◽  
Video Encoding ◽  
Experimental Result ◽  
Fast Motion Estimation ◽  
Motion Activity ◽  
Search Patterns ◽  
Motion Estimation Algorithm

In the video encoding system, motion estimation plays an important role at the front-end of encoder, which can eliminate inter redundancy efficiently and improve encoding efficiency. However, traditional motion estimation algorithm can’t be used in real-time application like video monitoring due to its computational complexity. In order to improve real-time efficiency, an improved motion estimation algorithm is proposed in this paper. The essential ideas consist of early termination rules, prediction of initial search point, and determination of motion type. Furthermore, our algorithm adopts different search patterns for certain motion activity. Experimental result shows that the improved algorithm reduces the computation time significantly while maintaining the image quality, and satisfies real time requirement in monitoring system.

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