Paper
4 March 2014 An adaptive extended Kalman filter for fluorescence diffuse optical tomography of tumor pharmacokinetics
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Abstract
According to the morphological differences in the vascularization between healthy and diseased tissues, pharmacokinetic-rate images of fluorophore can provide diagnostic information for tumor differentiation, and especially have the potential for staging of tumors. In this paper, fluorescence diffuse optical tomography method is firstly used to acquire metabolism-related time-course images of the fluorophore concentration. Based on a two-compartment model comprised of plasma and extracelluar-extravascular space, we next propose an adaptive-EKF framework to estimate the pharmacokinetic-rate images. With the aid of a forgetting factor, the adaptive-EKF compensate the inaccuracy initial values and emphasize the effect of the current data in order to realize a better online estimation compared with the conventional EKF. We use simulate data to evaluate the performance of the proposed methodology. The results suggest that the adaptive-EKF can obtain preferable pharmacokinetic-rate images than the conventional EKF with higher quantitativeness and noise robustness.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xin Wang, Linhui Wu, Xi Yi, Limin Zhang, Feng Gao, and Huijuan Zhao "An adaptive extended Kalman filter for fluorescence diffuse optical tomography of tumor pharmacokinetics", Proc. SPIE 8952, Biomedical Applications of Light Scattering VIII, 895219 (4 March 2014); https://doi.org/10.1117/12.2036991
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Cited by 2 scholarly publications.
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KEYWORDS
Tumors

Image analysis

Luminescence

Tissues

Diffuse optical tomography

Filtering (signal processing)

Plasma

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