Paper
3 March 2017 Physiology informed virtual surgical planning: a case study with a virtual airway surgical planner and BioGears
Author Affiliations +
Abstract
Stenosis of the upper airway affects approximately 1 in 200,000 adults per year1 , and occurs in neonates as well2 . Its treatment is often dictated by institutional factors and clinicians’ experience or preferences 3 . Objective and quantitative methods of evaluating treatment options hold the potential to improve care in stenosis patients. Virtual surgical planning software tools are critically important for this. The Virtual Pediatric Airway Workbench (VPAW) is a software platform designed and evaluated for upper airway stenosis treatment planning. It incorporates CFD simulation and geometric authoring with objective metrics from both that help in informed evaluation and planning. However, this planner currently lacks physiological information which could impact the surgical planning outcomes. In this work, we integrated a lumped parameter, model based human physiological engine called BioGears with VPAW. We demonstrated the use of physiology informed virtual surgical planning platform for patient-specific stenosis treatment planning. The preliminary results show that incorporating patient-specific physiology in the pretreatment plan would play important role in patient-specific surgical trainers and planners in airway surgery and other types of surgery that are significantly impacted by physiological conditions during surgery.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lucas Potter, Sreekanth Arikatla, Aaron Bray, Jeff Webb, and Andinet Enquobahrie "Physiology informed virtual surgical planning: a case study with a virtual airway surgical planner and BioGears", Proc. SPIE 10135, Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling, 101351T (3 March 2017); https://doi.org/10.1117/12.2252510
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Cited by 4 scholarly publications.
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KEYWORDS
Surgery

Physiology

Oxygen

Resistance

Computed tomography

3D modeling

Biomedical engineering

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