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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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Electron Tomography
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Related Experiment Video

Updated: Jun 12, 2026

Multi-Tracer Studies of Brain Oxygen and Glucose Metabolism Using a Time-of-Flight Positron Emission Tomography-Computed Tomography Scanner
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A comprehensive method for optical-emission computed tomography.

Andrew Thomas1, James Bowsher, Justin Roper

  • 1Duke University, Durham, NC, USA. ast5@duke.edu

Physics in Medicine and Biology
|June 26, 2010
PubMed
Summary
This summary is machine-generated.

Optical-emission computed tomography (ECT) overcomes attenuation artifacts for accurate 3D imaging of fluorophore distribution in tissues. This new method corrects for both emission and excitation photons, improving quantitative accuracy in biological samples.

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Last Updated: Jun 12, 2026

Multi-Tracer Studies of Brain Oxygen and Glucose Metabolism Using a Time-of-Flight Positron Emission Tomography-Computed Tomography Scanner
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Area of Science:

  • Biomedical imaging
  • Optical imaging
  • Tomography

Background:

  • Optical-computed tomography (CT) and optical-emission computed tomography (ECT) offer high-resolution 3D imaging of tissue samples.
  • Quantitative imaging with optical-ECT is hindered by significant signal attenuation within samples.
  • Attenuation causes artifacts, making central regions appear less intense than peripheral ones in reconstructed images.

Purpose of the Study:

  • To develop and validate novel correction methods for optical-ECT imaging.
  • To address challenges unique to optical-ECT, including excitation and emission photon attenuation.
  • To improve the quantitative accuracy of 3D fluorophore distribution imaging in biological tissues.

Main Methods:

  • Implementation of emission and excitation attenuation correction algorithms, alongside source strength modeling.
  • Utilized a cylindrical gelatin phantom with a known distribution of attenuation and fluorophores for performance evaluation.
  • Compared uncorrected and corrected optical-ECT reconstructions against microscopy images of the phantom.

Main Results:

  • Uncorrected images exhibited significant attenuation artifacts, with central regions appearing up to 80% less intense.
  • The developed correction methods significantly reduced artifacts, achieving approximately 5% variation compared to verification images.
  • Demonstrated the effectiveness of the correction techniques in a biological sample, imaging an RFP-expressing tumor.

Conclusions:

  • The presented correction strategy effectively mitigates attenuation artifacts in optical-ECT.
  • This advancement enables more accurate quantitative 3D imaging of fluorophore distribution in biological samples.
  • The method holds promise for precise structural and functional imaging in various biomedical applications.