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Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
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Misinterpretations about CT numbers, material decomposition, and elemental quantification.

Aria M Salyapongse1,2, Timothy P Szczykutowicz3,4,5

  • 1Department of Medical Physics, University of Wisconsin Madison, Madison, WI, USA.

European Radiology
|July 21, 2024
PubMed
Summary
This summary is machine-generated.

Quantitative CT imaging errors limit accuracy for iodine and calcium quantification in vivo. These misinterpretations, ranging up to 132%, necessitate improved uncertainty bounds for reliable CT-derived biomarkers.

Keywords:
Bone mineral densityCalcium quantificationIodinated contrastQuantification errorQuantitative computed tomography

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Area of Science:

  • Medical Imaging Physics
  • Biomarkers and Quantitative Analysis

Background:

  • Quantitative CT imaging is crucial for biomarkers like iodine and calcium quantification.
  • Understanding sources of error is vital for accurate in vivo measurements.

Purpose of the Study:

  • To quantify errors in single-energy and spectral CT for material quantification.
  • To analyze theoretical and experimental sources of misinterpretation in CT imaging.

Main Methods:

  • Examined the relationship between CT numbers, linear attenuation, and material quantification.
  • Calculated misinterpretation errors using NIST XCOM database for hydroxyapatite (HAP) and iodine.
  • Experimentally validated quantification errors using phantoms.

Main Results:

  • Single-energy CT showed HAP density errors from 0-132% (0-749 mg/cm³).
  • Spectral CT revealed iodine quantification errors from <0.1-33% (<0.1-1.2 mg/mL) in various tissues.

Conclusions:

  • Material quantification in vivo is fundamentally limited by differing measurement conditions.
  • Errors in bone mineral density (BMD) and iodine quantification exceed detection limits.
  • Errors must be avoided or incorporated into uncertainty bounds for CT biomarkers.