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Journal of Biomedical Optics

Nonlinear motion compensation using cubature Kalman filter for in vivo fluorescence microendoscopy in peripheral lung cancer intervention
Author(s): Tiancheng He; Zhong Xue; Miguel Valdivia y Alvarado; Kelvin K. Wong; Weixin Xie; Stephen T. C. Wong
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Paper Abstract

Fluorescence microendoscopy can potentially be a powerful modality in minimally invasive percutaneous intervention for cancer diagnosis because it has an exceptional ability to provide micron-scale resolution images in tissues inaccessible to traditional microscopy. After targeting the tumor with guidance by macroscopic images such as computed tomorgraphy or magnetic resonance imaging, fluorescence microendoscopy can help select the biopsy spots or perform an on-site molecular imaging diagnosis. However, one challenge of this technique for percutaneous lung intervention is that the respiratory and hemokinesis motion often renders instability of the sequential image visualization and results in inaccurate quantitative measurement. Motion correction on such serial microscopy image sequences is, therefore, an important post-processing step. We propose a nonlinear motion compensation algorithm using a cubature Kalman filter (NMC-CKF) to correct these periodic spatial and intensity changes, and validate the algorithm using preclinical imaging experiments. The algorithm integrates a longitudinal nonlinear system model using the CKF in the serial image registration algorithm for robust estimation of the longitudinal movements. Experiments were carried out using simulated and real microendoscopy videos captured from the CellVizio 660 system in rabbit VX2 cancer intervention. The results show that the NMC-CKF algorithm yields more robust and accurate alignment results.

Paper Details

Date Published: 7 January 2013
PDF: 11 pages
J. Biomed. Opt. 18(1) 016008 doi: 10.1117/1.JBO.18.1.016008
Published in: Journal of Biomedical Optics Volume 18, Issue 1
Show Author Affiliations
Tiancheng He, The Methodist Hospital Research Institute (United States)
Zhong Xue, The Methodist Hospital Research Institute (United States)
Miguel Valdivia y Alvarado, The Methodist Hospital Research Institute (United States)
Kelvin K. Wong, The Methodist Hospital Research Institute (United States)
Weixin Xie, Shenzhen Univ. (China)
Stephen T. C. Wong, The Methodist Hospital Research Institute (United States)

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