Advanced mathematical modeling for preciseestimation of CT energy spectrum using a calibration phantom

Area of Science:

• Medical Physics
• Radiological Imaging
• Computational Modeling

Background:

• Accurate estimation of the computed tomography (CT) energy spectrum is crucial for optimizing image quality and patient dose.
• Existing models often lack the precision required for reliable clinical application.
• Advanced modeling techniques are needed to address these limitations.

Purpose of the Study:

• To develop and validate an advanced mathematical model for accurate CT energy spectrum estimation.
• To utilize a CT calibration phantom for precise spectral characterization.
• To improve clinical imaging quality and patient dose management.

Main Methods:

• Collected CT scanner data using a calibration phantom across multiple energy levels (80-135 kVp).
• Optimized a mathematical model to refine energy spectrum estimation.
• Validated the model using Monte Carlo simulations for cross-comparison.

Main Results:

• The model achieved high precision in CT energy spectrum estimation (R-squared > 0.9738).
• Demonstrated low Normalized Root Mean Square Deviation (NRMSD) from 0.6698% to 1.8745%.
• Mean Energy Difference (ΔE) remained below 0.01 keV, outperforming existing studies.

Conclusions:

• A significantly improved CT energy spectrum estimation model was developed, offering superior accuracy.
• The model's strengths include high precision and use of standard equipment.
• Potential applications include enhanced clinical imaging and optimized patient dosimetry, with future extensions to megavoltage domains.