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Related Experiment Video

Updated: Jun 14, 2026

Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke

Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke

Published on: June 2, 2023

Multi-slice computed tomography: A tool for non-invasive temperature measurement?

Philipp Bruners¹, Elena Levit, Tobias Penzkofer

¹Department of Applied Medical Engineering, Helmholtz-Institute for Biomedical Engineering, RWTH Aachen University, D-52074 Aachen, Germany. bruners@rad.rwth-aachen.de

International Journal of Hyperthermia : the Official Journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group

|April 10, 2010

Summary

This summary is machine-generated.

Multi-slice computed tomography (MSCT) can measure fluid temperature changes by detecting thermal expansion. This non-invasive method allows for precise temperature discrimination with high spatial resolution.

Related Experiment Videos

Last Updated: Jun 14, 2026

Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke

Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke

Published on: June 2, 2023

Area of Science:

Medical Imaging
Physics
Materials Science

Background:

Accurate temperature measurement is crucial in various scientific and medical applications.
Non-invasive techniques are highly desirable for minimizing sample disturbance and ensuring safety.

Purpose of the Study:

To evaluate the feasibility of using multi-slice computed tomography (MSCT) for non-invasive temperature assessment.
To determine the relationship between CT numbers and temperature in different fluids.

Main Methods:

Samples of water, saline, sunflower oil, and contrast agent dilutions were heated in a phantom.
Scans were performed using a clinical CT scanner with varied parameters.
CT numbers were measured at different temperatures, and regression analysis was conducted.

Main Results:

CT number standard deviation decreased with optimized scan parameters (higher tube current-time product, voltage, collimation, and slice thickness).
An inverse relationship between CT number and temperature was observed across all tested fluids.
Specific regression coefficients were determined for each fluid type.

Conclusions:

MSCT effectively visualizes thermal density expansion in various fluids.
This technique enables non-invasive temperature discrimination with high spatial resolution, showing potential for practical applications.