New small-intestine modeling method for surface-based computational human phantoms.

Area of Science:

• Medical Physics
• Computational Biology
• Radiological Dosimetry

Background:

• Voxel phantoms have limitations in accurately representing the small intestine (SI) due to complex geometry and limited resolution.
• Existing stylized SI pipe models introduce subjectivity and dosimetric inconsistencies.
• High-quality surface models are crucial for accurate radiation dose calculations.

Purpose of the Study:

• To develop a new, anatomically realistic method for constructing small intestine (SI) surface models.
• To improve the accuracy of dosimetric assessments in radiation exposure simulations.
• To address the limitations of current SI modeling techniques in voxel phantom conversions.

Main Methods:

• A novel Monte Carlo approach was employed for the construction of small intestine (SI) models.
• The method was applied to create an SI model for the polygon-mesh ICRP reference male phantom.
• Simulations were performed for both external and internal photon exposures.

Main Results:

• The proposed method generated an anatomically more realistic small intestine (SI) model compared to stylized pipe models.
• The new SI model resulted in dose values more consistent with the original ICRP male voxel phantom.
• The new model demonstrated improved geometric and dosimetric accuracy for photon exposures.

Conclusions:

• The Monte Carlo-based method offers a significant improvement for constructing realistic small intestine (SI) models.
• This new approach reduces subjectivity and enhances dosimetric accuracy in radiation simulations.
• The developed SI model is a valuable tool for improving the fidelity of computational phantoms.