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Sensor Efficacy in Measuring Bone Depth for Neurosurgical Applications

This project examines the efficacy of lumbar vertebral bone depth sensors for relevant surgical uses. This project attempts to categorize this by comparing multiple sensor types (ultrasound, resistance, and force) on different models including a 3D-printed spine and an anatomically-similar porcine cadaver. The project goal is to provide a blueprint to integrate sensors into surgical instruments. Bone-depth detection can assist in decreasing procedure risk, such as durotomies during laminectomies, and promote surgical assurance with unexpected cases of patient bone degradation. Future work will determine the best application of each sensor and the quality of bone to best mimic clinical practices.

Symposium Participant

Portrait of Marschall, Ethan

Ethan Marschall

Project Details

Symposium Date: Spring 2018

Research Theme: Health

Presentation Type: GCSP

Faculty Mentors

  • Jitendran Muthuswamy