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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
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Evaluating a CBCT Correction Algorithm for Adaptive Radiotherapy.

Caleb Sawyer1,2, Jihye Koo2, Arash Naghavi2

  • 1University of South Florida, Tampa, USA.

Technology in Cancer Research & Treatment
|February 27, 2026
PubMed
Summary
This summary is machine-generated.

A new cone beam computed tomography (CBCT) correction algorithm shows promise for adaptive radiotherapy (ART). This method enables faster treatment planning using daily CBCT scans without compromising dose accuracy.

Keywords:
CBCT correctionCBCT qualityadaptive planningadaptive radiotherapy (ART)head and neck planning (H&N planning)sarcoma planning

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Area of Science:

  • Medical Physics
  • Radiotherapy Technology
  • Image Processing

Background:

  • Adaptive radiotherapy (ART) aims to improve treatment efficiency.
  • Daily cone beam computed tomography (CBCT) is increasingly used in radiotherapy.
  • Accurate image data is crucial for effective adaptive planning.

Purpose of the Study:

  • To evaluate the feasibility of using a CBCT correction algorithm for daily treatment planning.
  • To assess the impact of CBCT correction on dose calculation accuracy in ART.
  • To determine if the algorithm can reduce the need for re-simulation.

Main Methods:

  • A CBCT correction algorithm was applied to phantom and patient data.
  • CBCT images were processed to reduce artifacts and match planning CT intensity.
  • Treatment plans generated on CT were recalculated on corrected CBCTs.
  • Dose differences were analyzed using 3%/2 mm gamma analysis.

Main Results:

  • The CBCT correction algorithm produced high dose agreement on a lung phantom.
  • All 14 patient plans (head and neck, sarcoma) achieved >95% gamma passing rate after corrections.
  • The algorithm effectively generated corrected CBCTs for treatment planning.

Conclusions:

  • The CBCT correction algorithm shows potential for faster offline adaptive planning.
  • This approach may reduce the need for repeat CT scans (re-simulation).
  • Dose calculation accuracy is maintained with the use of corrected CBCT data.