Performance comparison of prediction filters for respiratory motion tracking in radiotherapy-Reference-Cited by-同舟云学术

Performance comparison of prediction filters for respiratory motion tracking in radiotherapy

Published:2019-12-07 Issue:2 Volume:47 Page:643-650
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Jöhl Alexander¹²,Ehrbar Stefanie²³,Guckenberger Matthias²³,Klöck Stephan²³,Meboldt Mirko¹,Zeilinger Melanie⁴,Tanadini‐Lang Stephanie²³,Schmid Daners Marianne¹

Affiliation:

1. Product Development Group Zurich Department of Mechanical and Process Engineering ETH Zurich Zurich Switzerland

2. Department of Radiation Oncology University Hospital Zurich Zurich Switzerland

3. University of Zurich Zurich Switzerland

4. Institute for Dynamic Systems and Control Department of Mechanical and Process Engineering ETH Zurich Zurich Switzerland

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.13929

Reference34 articles.

1. Tumor Motion Ranges Due to Respiration and Respiratory Motion Characteristics

2. Modeling liver motion and deformation during the respiratory cycle using intensity-based nonrigid registration of gated MR images

3. Impact of inadequate respiratory motion management in SBRT for oligometastatic colorectal cancer

4. The management of respiratory motion in radiation oncology report of AAPM Task Group 76a)

5. Clinical Accuracy of the Respiratory Tumor Tracking System of the CyberKnife: Assessment by Analysis of Log Files

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