Non-invasive mass and temperature quantifications with spectral CT.

Area of Science:

• Medical Imaging
• Biophysics
• Materials Science

Background:

• Spectral CT offers advanced material characterization using multi-energy data.
• Physical density quantification is achievable via spectral CT, enabling mass and temperature assessments.
• Existing models require validation for spectral physical density applications.

Purpose of the Study:

• To develop and validate spectral physical density quantification models.
• To assess the accuracy of non-invasive mass measurements using spectral CT.
• To evaluate the relationship between physical density and temperature in biological tissues.

Main Methods:

• Validation of Alvarez-Macovski and electron density-physical density models using a phantom.
• Implementation of the best-performing model on clinical spectral CT scans of bovine muscle.
• Evaluation of mass measurement accuracy and acquisition parameter effects.
• Assessment of physical density changes with varying tissue temperatures.

Main Results:

• The parametrized Alvarez-Macovski model demonstrated high accuracy (errors within ±0.02 g/mL).
• Mass measurements showed excellent accuracy (max 0.34% error) with no influence from acquisition parameters.
• A strong correlation (R=0.9781) was found between physical density and temperature via thermal expansion.

Conclusions:

• Accurate spectral physical density quantification is feasible for non-invasive mass measurements.
• This technique supports pathological detection and precise temperature monitoring in interventional oncology.
• Spectral CT holds significant potential for advanced diagnostic and therapeutic applications.