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Session: Multi-Disciplinary General ePoster Viewing [Return to Session]

3D Surface Imaging of Pleural Cavity for Light Fluence Modeling During PDT

D Sourvanos, H Sun, J Fiorellini, K Cengel, T Zhu*, University of Pennsylvania, Philadelphia, PA


PO-GePV-M-77 (Sunday, 7/10/2022)   [Eastern Time (GMT-4)]

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Purpose: To develop a novel scanning system of the pleural cavity surface using a handheld three-dimensional (3D) surface acquisition device. The integration of this technology will be utilized to develop light fluence modelling during pleural cavity Photodynamic Therapy (PDT).

Methods: A phantom model was developed from a modified ellipsoid shaped object (180mm x 180mm x 160mm) to maintain the relative dimensions of the pleural cavity space as observed during PDT. The external aspect of the structure was symmetrical and prefabricated of a hardened synthetic polymer. The interior surface was asymmetrically layered with non-reflective adhesive paper to create a non-uniformed surface topography. These surface characteristics were established in randomized X-Y-Z coordinates ranging in dimensions from 1-15mm. The phantom model was scanned with a handheld optical capturing device, acquiring digital measurements in actual value, and converted into a stereo lithography (STL) file. This specific device can reproduce large shapes of cavities (>30mm) while recognizing and differentiating surface characteristics within 1mm of accuracy.

Results: The handheld optical scanning device successfully captured the external shape of the pleural cavity phantom model and differentiated critical internal asymmetric surface characterizations in the X-Y-Z planes. Evaluation with CT model of the phantom confirm the accuracy to be less than 1mm.

Conclusion: These results present the first known successful validation of a handheld optical capturing device with high accuracy. We have demonstrated a novel ellipsoid phantom modelling system that can be acquired to data points of a greater ellipsoid modelling shape of 1mm-180mm. This modelling system can capture internal topographic characterizations ranging from 1-15mm that are representative of critical surface anatomies in the pleural cavity space. These findings suggest that this novel/capturing device is sensitive to this specific plural cavity phantom modelling application and can utilize a workflow capture to model more accurate light fluence during PDT.

Funding Support, Disclosures, and Conflict of Interest: NIH 1R01EB028778-01A, NIH 1P01CA 87971-01, NIH 1T90DE0854-01


Optical Dosimetry, Image Guidance, Surface Dose


IM/TH- Image-guided Surgery: General (most aspects)

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