19 September 2017 Demons registration for in vivo and deformable laser scanning confocal endomicroscopy
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Abstract
A critical effect found in noninvasive in vivo endomicroscopic imaging modalities is image distortions due to sporadic movement exhibited by living organisms. In three-dimensional confocal imaging, this effect results in a dataset that is tilted across deeper slices. Apart from that, the sequential flow of the imaging–processing pipeline restricts real-time adjustments due to the unavailability of information obtainable only from subsequent stages. To solve these problems, we propose an approach to render Demons-registered datasets as they are being captured, focusing on the coupling between registration and visualization. To improve the acquisition process, we also propose a real-time visual analytics tool, which complements the imaging pipeline and the Demons registration pipeline with useful visual indicators to provide real-time feedback for immediate adjustments. We highlight the problem of deformation within the visualization pipeline for object-ordered and image-ordered rendering. Visualizations of critical information including registration forces and partial renderings of the captured data are also presented in the analytics system. We demonstrate the advantages of the algorithmic design through experimental results with both synthetically deformed datasets and actual in vivo, time-lapse tissue datasets expressing natural deformations. Remarkably, this algorithm design is for embedded implementation in intelligent biomedical imaging instrumentation with customizable circuitry.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Wei-Ming Chiew, Wei-Ming Chiew, Feng Lin, Feng Lin, Hock Soon Seah, Hock Soon Seah, } "Demons registration for in vivo and deformable laser scanning confocal endomicroscopy," Journal of Biomedical Optics 22(9), 096009 (19 September 2017). https://doi.org/10.1117/1.JBO.22.9.096009 . Submission: Received: 30 May 2017; Accepted: 25 August 2017
Received: 30 May 2017; Accepted: 25 August 2017; Published: 19 September 2017
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