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Related Experiment Video

Updated: Jun 9, 2026

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
08:17

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

A multi-region algorithm for markerless beam's-eye view lung tumor tracking.

J Rottmann1, M Aristophanous, A Chen

  • 1Department of Radiation Oncology, Brigham and Women's Hospital, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA. jrottmann@lroc.harvard.edu

Physics in Medicine and Biology
|September 3, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a novel algorithm for tracking lung tumors during radiotherapy using the treatment machine's portal imager, avoiding extra patient radiation dose. The method achieved high accuracy, with tracking errors under 2 mm in phantom and patient data.

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Last Updated: Jun 9, 2026

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Image Processing

Background:

  • Online lung tumor tracking during radiotherapy is crucial for improving treatment accuracy and sparing healthy tissues.
  • Current methods using on-board kV x-ray imagers may increase patient radiation dose.
  • There is a need for accurate, dose-free lung tumor localization techniques in radiotherapy.

Purpose of the Study:

  • To develop and evaluate an algorithm for online lung tumor tracking using the treatment machine's portal imager.
  • To assess the feasibility of using portal images for precise tumor localization without additional patient dose.
  • To compare the algorithm's performance against manual tracking and assess its accuracy.

Main Methods:

  • An algorithm was developed to utilize on-board portal images from the radiotherapy treatment machine for lung tumor tracking.
  • The algorithm was retrospectively applied to portal image sequences from a dynamic chest phantom study.
  • Performance was validated using data from an SBRT treatment and compared to expert manual tracking.

Main Results:

  • The proposed algorithm demonstrated high accuracy in tracking lung tumors.
  • Tracking error was less than 1 mm for phantom data.
  • Tracking error was less than 2 mm for patient data, comparable to the gold standard's uncertainty.

Conclusions:

  • Utilizing the on-board portal imager for lung tumor tracking is a feasible and dose-free approach.
  • The developed algorithm provides accurate tumor localization during radiotherapy.
  • This method offers a promising alternative for enhancing radiotherapy precision and patient safety.