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A Computational Modeling Approach to Investigate the Influence of Hyperthermia on the Tumor Microenvironment

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A whole body statistical shape model for radio frequency simulation.

Su-Lin Lee¹, Khaleda Ali, Alessio Brizzi

¹The Hamlyn Centre for Robotic Surgery, Imperial College London, UK. su-lin.lee@imperial.ac.uk

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|January 19, 2012

Summary

Creating patient-specific models for radio frequency (RF) simulations is challenging. This study introduces a statistical whole-body shape model to efficiently generate diverse body shapes for RF studies, simplifying research on wearable medical devices.

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Area of Science:

Biomedical Engineering
Computational Electromagnetics
Medical Imaging

Background:

Developing ultra-low power wireless sensors for wearable and implantable medical devices necessitates patient-specific models for accurate radio frequency (RF) simulations.
Current methods for creating patient-specific whole-body models are complex and time-intensive, hindering population-level studies.

Purpose of the Study:

To develop a statistical shape model of the human body for RF simulation purposes.
To enable the generation of diverse body shapes for studying wave propagation in the human body without requiring individual patient models.

Main Methods:

A statistical shape model was constructed using data from 20 subjects (10 male, 10 female) of varying sizes and heights.
The model allows for the instantiation of new surface meshes within the learned parameter space.
Finite-difference time-domain (FDTD) simulations were performed on extreme shapes generated by the model.

Main Results:

The statistical shape model successfully generated a range of whole-body surface meshes representing diverse body shapes.
RF simulations on these generated shapes highlighted the critical impact of body shape variations on wave propagation.
The model demonstrated its capability to provide varied shapes for population studies.

Conclusions:

A novel statistical whole-body shape model facilitates efficient RF simulation studies for wearable and implantable medical devices.
This approach mitigates the need for laborious creation of individual patient models, enabling broader research into body shape effects on RF wave propagation.