Congratulations to Dr. Adrian Tanskanen who successfully defended his PhD thesis!

Adrian’s work ‘Leveraging Multipath Effects in Multimodal Optical Coherence Tomography for Cancer Detection‘ described methods to characterize, mitigate and leverage multipath artifacts inherent to OCT systems using double-clad fiber.

Select Publications:

• Multipath artifacts enable angular contrast in multimodal endoscopic optical coherence tomography
• Triple-clad W-type fiber mitigates multipath artifacts in multimodal optical coherence tomography
• Higher-Order Core-Like Modes in Double-Clad Fiber Contribute to Multipath Artifacts in Optical Coherence Tomography

Chloe successfully defended her Master’s thesis ‘Segmentation of Oral Optical Coherence Tomography with Deep Learning‘ with no revisions, the highest level of pass at Simon Fraser University’s School of Engineering Science.

Chloe developed a four-part neural network pipeline to aid OCT interpretation by providing en face maps of epithelial depth. This allows for rapid identification of the most pathologic region in endoscopic OCT of the oral cavity, which may help identify the best site for biopsy. Chloe’s pipeline demonstrates as-good-as or better agreement than manual assessment between two raters, suggesting strong performance. Further work includes validating this tool on data acquired with a different OCT system to test generalizability.