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Content Provider | IEEE Xplore Digital Library |
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Author | Alacam, B. Yaziei, B. Serdaroglu, A. Intes, X. Chance, B. Nioka, S. |
Copyright Year | 2006 |
Description | Author affiliation: Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY (Alacam, B.; Yaziei, B.; Serdaroglu, A.) |
Abstract | In this work, we propose a method to reconstruct spatially resolved pharmacokinetic rate images of fluorescence agents directly from the boundary photon flux measurements. We use a compartmental modeling scheme to model the pharmacokinetics of fluorescence agents. We coupled this model with the fluorescence diffuse optical tomography (FDOT) forward model to form a state space model which is then iteratively solved by extended Kalman filtering (EKF) algorithm. As an example, we used a two-compartment model for indocyanine green (ICG) pharmacokinetics. To validate the proposed method, we tested our approach using a simulation study. Reconstructed pharmacokinetic rate images with correct localization of heterogeneities and high reconstruction accuracy show that the proposed algorithm can be used for tumor detection, tumor diagnosis, drug delivery and feasibility studies |
Sponsorship | IEEE EMB |
Starting Page | 5627 |
Ending Page | 5630 |
File Size | 176790 |
Page Count | 4 |
File Format | |
ISBN | 1424400325 |
ISSN | 1557170X |
DOI | 10.1109/IEMBS.2006.259382 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2006-08-30 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Image reconstruction Spatial resolution Image resolution Fluorescence Optical filters Optical coupling Tomography State-space methods Kalman filters Filtering |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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