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Anatomical 3D Modeling Using IR Sensors and Radiometric Processing Based on Structure from Motion: Towards a Tool for
Rafael Bayareh Mancilla1,2, Bình Phan Tấn2, Christian Daul2
1Departamento de Ingeniería Eléctrica/Sección de Bioelectrónica, Centro de Investigación y de Estudios Avanzados del IPN, Av. Instituto Politécnico Nacional 2508, Col. San Pedro Zacatenco, Gustavo A. Madero, Ciudad de México 07360, Mexico.
This study introduces a 3D thermal model for improved visualization of physiological disorders like diabetic foot. The 3D reconstruction method enhances diagnostic capabilities by integrating temperature information for faster inspection.
Area of Science:
- Medical Imaging
- Biomedical Engineering
- Computational Anatomy
Background:
- Medical infrared thermography is a valuable tool for assessing physiological disorders, but its 2D nature limits anatomical visualization.
- A 3D thermal model offers enhanced visualization and inspection speed compared to traditional 2D methods.
Purpose of the Study:
- To present a novel 3D reconstruction method for creating thermal models with integrated temperature information.
- To evaluate the feasibility of this 3D multimodal construction for diagnosing conditions like diabetic foot.
Main Methods:
- A Structure from Motion and Multi-view Stereo approach was employed using a set of multimodal merged images.
- Infrared images underwent automated processing for radiometric data, thermal interference removal, Region of Interest (RoI) segmentation, and contrast enhancement.
- Multimodal co-registration was performed in a controlled environment with minimal temperature difference (∆T < 2.6%).
Main Results:
- The 3D reconstruction achieved a geometric verification accuracy of 77% ± 2%.
- A linear model was used to adjust for curvature emissivity, reducing error to approximately 10% near 90°.
- The generated 3D models successfully displayed temperature information with interactive controls, using RoI data exclusively.
Conclusions:
- The developed 3D multimodal construction method is feasible and shows promise as a diagnostic tool.
- This technique offers improved visualization and inspection for conditions such as diabetic foot.
- The integration of temperature information into 3D models enhances diagnostic potential.
