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Computed Tomography01:10

Computed Tomography

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.
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Related Experiment Video

Updated: Jul 10, 2026

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
12:24

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Published on: July 17, 2012

Calibrating an ultrasonic computed tomography system using a time-of-flight based positioning algorithm.

Adam Filipik1, Igor Peterlik, Dusan Hemzal

  • 1Dept. Of Biomedical Eng., FEEC, Brno University of Technology, Czech Republic.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|November 16, 2007
PubMed
Summary

This study introduces a novel auto-calibration method for ultrasonic computed tomography (USCT) systems, inspired by GPS navigation. It simultaneously determines transducer positions and time delays without requiring calibration phantoms.

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Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Signal Processing

Background:

  • Ultrasonic Computed Tomography (USCT) systems require precise calibration for accurate imaging.
  • Traditional calibration methods for USCT are often complex and require specialized phantoms.

Purpose of the Study:

  • To develop a self-contained geometrical and time-delay auto-calibration method for USCT systems.
  • To eliminate the need for physical calibration phantoms in USCT system setup.

Main Methods:

  • Algorithm development based on Global Positioning System (GPS) navigation principles.
  • Simultaneous calibration of all ultrasonic transducer positions and individual time delays.
  • Treating USCT transducers as analogous to GPS satellites and receivers, with all positions as unknowns.

Main Results:

  • Successful simultaneous auto-calibration of transducer geometry and time delays.
  • Demonstrated feasibility of the GPS-inspired algorithm for USCT.
  • Elimination of the requirement for calibration phantoms.

Conclusions:

  • The proposed method offers an efficient and phantom-free approach to USCT system calibration.
  • This advancement simplifies USCT system deployment and enhances imaging accuracy.
  • The GPS-analogous algorithm provides a robust framework for calibrating complex sensor arrays.