Technical Note: In silico and experimental evaluation of two leaf‐fitting algorithms for MLC tracking based on exposure error and plan complexity-Reference-Cited by-同舟云学术

Technical Note: In silico and experimental evaluation of two leaf‐fitting algorithms for MLC tracking based on exposure error and plan complexity

Published:2019-03-04 Issue:4 Volume:46 Page:1814-1820
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Caillet Vincent¹²,O'Brien Ricky²,Moore Douglas³,Poulsen Per⁴,Pommer Tobias⁵,Colvill Emma¹²,Sawant Amit⁶,Booth Jeremy¹²,Keall Paul²

Affiliation:

1. Northern Sydney Cancer Centre Sydney NSW Australia

2. ACRF Image X Institute Sydney Medical School University of Sydney Sydney NSW Australia

3. Beyond Center for Fundamental Concepts in Science Arizona State University Tempe AZUSA

4. Aarhus University AarhusDenmark

5. Unit of Radiotherapy Physics and Engineering Karolinska University Hospital Solna Sweden

6. Department of Radiation Oncology University of Maryland School of Medicine Baltimore MD 21201 USA

Funder

Australian Cancer Research Foundation

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.13425

Reference36 articles.

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4. The Cyberknife: A Frameless Robotic System for Radiosurgery

5. Stereotactic radiotherapy with real-time tumor tracking for non-small cell lung cancer: Clinical outcome

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