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Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
Published on: July 17, 2012
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Direct reconstruction in CT-analogous pharmacokinetic diffuse fluorescence tomography: two-dimensional simulative and
Xin Wang1, Yanqi Zhang1, Limin Zhang2
1Tianjin University, College of Precision Instrument and Optoelectronics Engineering, Tianjin 300072, China.
Journal of Biomedical Optics
|April 21, 2016
Summary
This study introduces a direct reconstruction strategy for pharmacokinetic diffuse fluorescence tomography (pDFT) enabling simultaneous estimation of concentrations and rates in small animals. The method improves accuracy and reduces instrumentation costs for in vivo imaging.
Area of Science:
- Biomedical optics
- Pharmacokinetic modeling
- Image reconstruction
Background:
- Diffuse fluorescence tomography (DFT) is crucial for in vivo pharmacokinetic studies.
- Current methods often involve indirect reconstruction or require expensive, highly time-resolved data acquisition.
- Direct reconstruction methods aim to simplify the process and improve efficiency.
Purpose of the Study:
- To develop a generalized strategy for direct reconstruction in pharmacokinetic DFT.
- To enable one-step reconstruction of pharmacokinetic-rate images in small animals.
- To reduce the complexity and cost of instrumentation for DFT.
Main Methods:
- Incorporation of a compartmental kinetic model into an adaptive extended Kalman filtering scheme.
- Utilizing an instantaneous sampling dataset with CT-analogous scanning.
- Validation through 2D simulations and pilot phantom experiments.
Main Results:
- Simultaneous estimation of compartmental concentrations and pharmacokinetic rates.
- Achieved fair quantitative and localization accuracy.
- Demonstrated elimination of interim DFT inversion errors compared to indirect methods.
Conclusions:
- The proposed method offers a more efficient and cost-effective approach to pharmacokinetic DFT.
- It relaxes stringent instrument requirements for data acquisition.
- Suitable for cost-effective, dense-sampling instrumentation using photon counting techniques.
