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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: Mar 2, 2026

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation
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Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

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SU-E-J-159: Electromagnetic Tracking during 4DCT.

J Mcgary1,2, J Chen1,2, Z Xiong1,2

  • 1University of Houston, Houston, Tx.

Medical Physics
|May 19, 2017
PubMed
Summary
This summary is machine-generated.

A new method accurately tracks tumor positions in real-time during 4D CT scans using electromagnetic fields and simple search coils, overcoming eddy current interference for improved cancer treatment.

Keywords:
CancerEddiesElectric measurementsMagnetic field measurementsMagnetic field sensorsMagnetic fieldsMaxwell equationsTracking devices

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Area of Science:

  • Medical Physics
  • Electromagnetism
  • Medical Imaging

Background:

  • Real-time electromagnetic tumor tracking during 4D CT (four-dimensional computed tomography) is a significant challenge.
  • Eddy currents generated by alternating magnetic fields in conductive materials interfere with accurate tracking.

Purpose of the Study:

  • To develop a novel method for separating source magnetic fields from background eddy currents.
  • To enable precise electromagnetic tumor localization using simple search coil sensors.

Main Methods:

  • Electromagnetic simulations using ANSYS Maxwell modeled the gantry and transponder.
  • A 5x5 array of search coils was configured to detect magnetic fields.
  • An algorithm was developed to calculate transponder position within the gantry, accounting for eddy currents.

Main Results:

  • The developed method achieved transponder localization accuracy within 1 mm across various positions and gantry lengths.
  • Gradient techniques did not significantly improve localization accuracy.
  • Complex solutions were identified but deemed unsuitable for clinical use.

Conclusions:

  • The proposed method enables accurate localization of Calypso® Beacon transponders for real-time tumor tracking during 4DCT.
  • The system utilizes cost-effective search coils, maintaining source-sensor proximity.
  • Future work involves system development and clinical implementation studies.