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PMID: 30441654 Published · ppublish English Journal Article Research Support, N.I.H., Extramural

An Interactive, Patient-Specific Virtual Surgical Planning System for Upper Airway Obstruction Treatments.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference ·Vol. 2018 ·2018-07-00 ·页码 5802-5805

Clipp RB, Vicory J, Horvath S, Mitran S, Kimbell JS, Rhee JS, Enquobahrie A

Abstract

Upper airway obstructions leading todifficulty breathing are significant problems that often require surgery to improve patient quality of life. However, these surgeries often have poor outcomes with little symptom improvement. This paper outlines the design of an interactive, patient-specific virtual surgical planning system that uses patient CT scans to generate three-dimensional representations of the airways and incorporates computational fluid dynamics (CFD) as a part of the surgical planning process. Individualized virtual surgeries can be performed by editing these models, which are then analyzed using CFD to compare pre- and post- surgery flow characteristics to assess patient symptom improvement. The prototype system shows significant promise by being intuitive, interactive, with a potential fast flow solver that provides near real-time feedback to the clinician.

MeSH 主题词
Computer Simulation Humans Hydrodynamics Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Nasal Obstruction/surgery Surgical Procedures, Operative User-Computer Interface
作者与单位
共 7 位作者,点击展开单位 / ORCID
Clipp Rachel B
Vicory Jared
Horvath Samantha
Mitran Sorin
Kimbell Julia S
Rhee John S
Enquobahrie Andinet
Article Info
Journal
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Abbr.
Annu Int Conf IEEE Eng Med Biol Soc
ISSN
2694-0604
Published
2018-07-00
页码
5802-5805
Language
English
Country/Region
United States
NLM ID
101763872
基金资助
NIBIB NIH HHS · R01 EB009557 · United States
NIBIB NIH HHS · R43 EB023121 · United States
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