Estimating Maxillary Sinus Volume Using Smartphone Camera

Estimating Maxillary Sinus Volume Using Smartphone Camera

<italic>Goal:</italic> This study aims to introduce a novel method for estimating maxillary sinus volume using smartphone technology, providing an accessible alternative to traditional imaging techniques. <italic>Methods:</italic> We recruited 40 participants to conduct a com...

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Bibliographic Details
Main Authors: Christoforos Meliadis, Emily Feng, Ezekiel Johnson, Wendy Zhu, Paramesh Gopi, Vivek Mohan, Peter H. Hwang, Jacob Johnson, Bryant Y. Lin
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of Engineering in Medicine and Biology
Subjects:
Diagnostic imaging
maxillary sinus
smartphone
telemedicine
Online Access:https://ieeexplore.ieee.org/document/10795754/
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Summary:<italic>Goal:</italic> This study aims to introduce a novel method for estimating maxillary sinus volume using smartphone technology, providing an accessible alternative to traditional imaging techniques. <italic>Methods:</italic> We recruited 40 participants to conduct a comparative analysis between Computed Tomography (CT) and face scans obtained using an Apple iPhone. Utilizing Apple&#x0027;s ARKit for 3D facial mesh modeling, we estimated sinus dimensions based on established craniofacial landmarks and calculated the volume through a geometric approximation of the maxillary sinus. <italic>Results:</italic> We demonstrated a high degree of agreement between CT and face scans, with Mean Absolute Percentage Errors (MAPE) of 8.006 &#x00B1; 8.839&#x0025; (Width), 6.725 &#x00B1; 4.595&#x0025; (Height), 9.952 &#x00B1; 6.733&#x0025; (Depth), and 10.429 &#x00B1; 7.409&#x0025; (Volume). These results suggest the feasibility of this non-invasive approach for clinical use. <italic>Conclusions:</italic> This method aligns with the growing focus on telemedicine, presenting significant reductions in healthcare costs and radiation exposure from CT scans. It marks a substantial advancement in otolaryngology and maxillofacial surgery, showcasing the integration of smartphone technology in medical diagnostics and opening avenues for innovative, patient-friendly, and cost-effective healthcare solutions.
ISSN:2644-1276

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