4.5 Review

Endoscopy Lifetime Systems Architecture: Scoping Out the Past to Diagnose the Future Technology

期刊

SYSTEMS
卷 10, 期 5, 页码 -

出版社

MDPI
DOI: 10.3390/systems10050189

关键词

endoscopy; system architecture; system lifecycle; hyperspectral; subsystem trends; model-based systems engineering (MBSE); future endoscope

资金

  1. NASA/Alabama Space Grant Consortium
  2. NASA [NNH19ZHA001C]
  3. NSF [1725937]
  4. NIH [UL1TR001417, P01HL066299]
  5. University of Alabama at Birmingham Center for Clinical and Translational Science (CCTS)
  6. Murray Bander Faculty Development Award
  7. Economic Development Partnership of Alabama

向作者/读者索取更多资源

Systems engineering is crucial for capturing customer desires and needs to conceptualize a system before physical development. This paper focuses on the endoscope system, analyzing its technological advancements and proposing improvements for better detection capabilities. The analysis suggests future endoscope systems will prioritize complex imaging and higher computational requirements to enhance optical diagnoses of early abnormal tissue growth.
Systems engineering captures the desires and needs of the customer to conceptualize a system from the overall goal down to the small details prior to any physical development. While many systems projects tend to be large and complicated (i.e., cloud-based infrastructure, long-term space travel shuttles, missile defense systems), systems engineering can also be applied to smaller, complex systems. Here, the system of interest is the endoscope, a standard biomedical screening device used in laparoscopic surgery, screening of upper and lower gastrointestinal tracts, and inspection of the upper airway. Often, endoscopic inspection is used to identify pre-cancerous and cancerous tissues, and hence, a requirement for endoscopic systems is the ability to provide images with high contrast between areas of normal tissue and neoplasia (early-stage abnormal tissue growth). For this manuscript, the endoscope was reviewed for all the technological advancements thus far to theorize what the next version of the system could be in order to provide improved detection capabilities. Endoscopic technology was decomposed into categories, using systems architecture and systems thinking, to visualize the improvements throughout the system's lifetime from the original to current state-of-the-art. Results from this review were used to identify trends in subsystems and components to estimate the theoretical performance maxima for different subsystems as well as areas for further development. The subsystem analysis indicated that future endoscope systems will focus on more complex imaging and higher computational requirements that will provide improved contrast in order to have higher accuracy in optical diagnoses of early, abnormal tissue growth.

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