Artificial intelligence‐based framework in evaluating intrafraction motion for liver cancer robotic stereotactic body radiation therapy with fiducial tracking-Reference-Cited by-同舟云学术

Artificial intelligence‐based framework in evaluating intrafraction motion for liver cancer robotic stereotactic body radiation therapy with fiducial tracking

Published:2020-10-18 Issue:11 Volume:47 Page:5482-5489
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Liang Zhiwen¹,Zhou Qichao²,Yang Jing¹,Zhang Lian¹,Liu Dong³,Tu Biao¹,Zhang Sheng¹

Affiliation:

1. Cancer Center Union HospitalTongji Medical CollegeHuazhong University of Science and Technology Wuhan 430022 Hubei China

2. Manteia Technologies Co., Ltd. Xiamen Fujian China

3. Varian Medical Systems, Inc. Beijing China

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.14501

Reference34 articles.

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3. Evaluation of the motion of lung tumors during stereotactic body radiation therapy (SBRT) with four-dimensional computed tomography (4DCT) using real-time tumor-tracking radiotherapy system (RTRT)

4. Both four-dimensional computed tomography and four-dimensional cone beam computed tomography under-predict lung target motion during radiotherapy

5. Intrafractional Baseline Shift or Drift of Lung Tumor Motion During Gated Radiation Therapy With a Real-Time Tumor-Tracking System

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