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A Small and High-Speed Driving Mechanism for 3D Shape Measurement in Monocular Endoscopy.

Yoshikazu NakajimaNobuyuki TanigakiTakaaki SuginoToshihiro KawaseShinya Onogi
Published in: Sensors (Basel, Switzerland) (2021)
Three-dimensional (3D) shape acquisition has been widely introduced to enrich quantitative analysis with the combination of object shape and texture, for example, surface roughness evaluation in industry and gastrointestinal endoscopy in medicine. Shape from focus is a promising technique to measure substance surfaces in 3D space because no occlusion problem appears in principle, as does with stereo shape measurement, which is another commonly used option. We have been developing endoscopic shape measurement devices and shape reconstruction algorithms. In this paper, we propose a mechanism for driving an image sensor reciprocated for the shape from focus of 3D shape measurement in monocular endoscopy. It uses a stepping motor and a planar-end cam, which transforms the motor rotation to imaging sensor reciprocation, to implement the shape from focus of 3D shape measurement in endoscopy. We test and discuss the device in terms of its driving accuracy and application feasibility for endoscopic 3D shape measurement.
Keyphrases
  • high speed
  • machine learning
  • deep learning
  • magnetic resonance
  • pseudomonas aeruginosa
  • escherichia coli
  • computed tomography
  • staphylococcus aureus
  • working memory
  • clinical evaluation
  • fluorescence imaging