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Multimodal 3D Printing of Phantoms to Simulate Biological Tissue
Published on: January 11, 2020
NURBS-based 3-D anthropomorphic computational phantoms for radiation dosimetry applications
Choonsik Lee1, Choonik Lee, Daniel Lodwick
1Department of Nuclear and Radiological Engineering, University of Florida, Gainesville, FL 32611-8300, USA.
Radiation Protection Dosimetry
|June 15, 2007
Summary
Computational anthropomorphic phantoms are essential for dosimetry calculations. This study reviews existing phantom types and introduces a hybrid approach using NURBS surface animation for improved accuracy in absorbed dose distribution evaluations.
Area of Science:
- Medical Physics
- Computational Biology
- Radiological Dosimetry
Background:
- Computational anthropomorphic phantoms model human anatomy for absorbed dose evaluation.
- Current phantoms include stylised (equation-based) and voxel (image-based) types.
- Both existing phantom types have limitations in accurately representing human anatomy.
Purpose of the Study:
- To review the advantages and disadvantages of current computational phantom classes.
- To introduce a novel hybrid approach for computational phantom construction.
- To leverage the strengths of both stylised and voxel phantoms.
Main Methods:
- Review of existing literature on stylised and voxel phantoms.
- Introduction of a hybrid phantom construction methodology.
- Utilisation of non-uniform rational B-spline (NURBS) surface animation technology.
Main Results:
- Stylised phantoms offer mathematical simplicity but lack anatomical realism.
- Voxel phantoms provide anatomical detail from medical images but struggle with low-contrast organs.
- The proposed hybrid approach aims to combine the benefits of both methods.
Conclusions:
- A hybrid computational phantom approach offers a promising solution to overcome limitations of existing methods.
- NURBS surface animation technology enables the creation of more anatomically accurate and versatile phantoms.
- This advancement can lead to more precise absorbed dose distribution evaluations in various applications.

