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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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Related Experiment Video

Updated: May 6, 2026

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
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4D-CT reconstruction based on pulmonary average CT values.

Shu-xu Zhang1, Ling-hong Zhou, Sheng-qu Lin

  • 1Radiotherapy Center, Affiliated Tumor Hospital of Guangzhou Medical University, Guangzhou 510095, China.

Bio-Medical Materials and Engineering
|November 12, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method for four-dimensional computed tomography (4D-CT) reconstruction using average lung CT values (ACV) instead of external respiratory monitoring devices. This approach simplifies 4D-CT reconstruction for improved radiotherapy planning.

Keywords:
4D-CTaverage CT valueimage reconstructionrespiration phase

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Area of Science:

  • Medical Imaging
  • Radiotherapy Physics
  • Pulmonary Imaging

Background:

  • Commercial four-dimensional computed tomography (4D-CT) systems commonly rely on external respiratory monitoring devices.
  • Patient immobilization with thermoplastic masks during radiotherapy can impede the accuracy of 4D-CT reconstruction.

Purpose of the Study:

  • To investigate the feasibility of 4D-CT reconstruction using an internal pulmonary average CT value (ACV) method, eliminating the need for external respiratory monitoring.
  • To establish a convenient and reliable method for 4D-CT reconstruction applicable in free-breathing patients undergoing radiotherapy.

Main Methods:

  • The study utilized the cyclical variation of whole-lung ACV during respiration to identify CT image phases.
  • Five 4D-CT datasets from a Real-time Position Management (RPM) system were used to validate the ACV method.
  • Sixteen free-breathing patients' lung CT datasets were acquired in Cine scan mode, with phases identified and re-sorted based on ACV time dependence.

Main Results:

  • The ACV method successfully identified CT image phases by analyzing the time-dependent ACV.
  • The study demonstrated that 4D-CT reconstruction is feasible using the ACV method without external monitoring.
  • The ACV method proved reliable for reconstructing 4D-CT volumes from free-breathing patients.

Conclusions:

  • The ACV method offers a viable alternative to external respiratory monitoring for 4D-CT reconstruction.
  • This technique enhances the convenience and reliability of 4D-CT imaging, particularly in radiotherapy.
  • The findings support the integration of ACV-based 4D-CT reconstruction for improved patient treatment planning.