Contour Extraction of Surgical Stoma Surfaces Using 2.5D Images from Smartphone 3D Scanning

In this paper, we present a technique for extracting stoma outlines from 2.5D images acquired through smartphone-based 3D scanning. Accurate stoma outlining plays a crucial role in tailoring ostomy wafers, thereby minimizing stoma damage, preserving the health of surrounding skin, and ultimately enhancing the health-related quality of life for stoma patients. Our proposed method leverages a widely used contour algorithm and incorporates error analysis to assess its effectiveness and precision. Through a series of experiments, we investigate the potential and limitations of smartphone 3D scanning in achieving precise and personalized stoma contouring. Additionally, we introduce an error metric to evaluate the performance of the technique quantitatively. Our findings shed light on the possibilities for advancements in 3D scanning technology and image processing techniques, marking a significant step towards harnessing smartphone technology for improved ostomy management and patient care.