Research Papers: Imaging

Nonlinear motion compensation using cubature Kalman filter for in vivo fluorescence microendoscopy in peripheral lung cancer intervention

[+] Author Affiliations
Tiancheng He, Zhong Xue, Miguel Valdivia y Alvarado, Kelvin K. Wong, Stephen T. C. Wong

The Methodist Hospital Research Institute, Weill Cornell Medical College, Department of Systems Medicine and Bioengineering, Houston, Texas

Weixin Xie

Shenzhen University, Intelligent Information Institute, Shenzhen, China

J. Biomed. Opt. 18(1), 016008 (Jan 07, 2013). doi:10.1117/1.JBO.18.1.016008
History: Received August 20, 2012; Revised November 20, 2012; Accepted December 6, 2012
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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.

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© 2013 Society of Photo-Optical Instrumentation Engineers

Citation

Tiancheng He ; Zhong Xue ; Miguel Valdivia y Alvarado ; Kelvin K. Wong ; Weixin Xie, et al.
"Nonlinear motion compensation using cubature Kalman filter for in vivo fluorescence microendoscopy in peripheral lung cancer intervention", J. Biomed. Opt. 18(1), 016008 (Jan 07, 2013). ; http://dx.doi.org/10.1117/1.JBO.18.1.016008


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