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DOI 10.1080/21655979.2016.1197738

Медицинская библиотека · Bioengineered · 2016

Quantitative analysis of multiple biokinetic models using a dynamic water phantom: A feasibility study.

Chiang Fu-Tsai, Li Pei-Jung, Chung Shih-Ping, Pan Lung-Fa, Pan Lung-Kwang

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Аннотация

This study analyzed multiple biokinetic models using a dynamic water phantom. The phantom was custom-made with acrylic materials to model metabolic mechanisms in the human body. It had 4 spherical chambers of different sizes, connected by 8 ditches to form a complex and adjustable water loop. One infusion and drain pole connected the chambers to an auxiliary silicon-based hose, respectively. The radio-active compound solution (TC-99m-MDP labeled) formed a sealed and static water loop inside the phantom. As clean feed water was infused to replace the original solution, the system mimicked metabolic mechanisms for data acquisition. Five cases with different water loop settings were tested and analyzed, with case settings changed by controlling valve poles located in the ditches. The phantom could also be changed from model A to model B by transferring its vertical configuration. The phantom was surveyed with a clinical gamma camera to determine the time-dependent intensity of every chamber. The recorded counts per pixel in each chamber were analyzed and normalized to compare with theoretical estimations from the MATLAB program. Every preset case was represented by uniquely defined, time-dependent, simultaneous differential equations, and a corresponding MATLAB program optimized the solutions by comparing theoretical calculations and practical measurements. A dimensionless agreement (AT) index was recommended to evaluate the comparison in each case. ATs varied from 5.6 to 48.7 over the 5 cases, indicating that this work presented an acceptable feasibility study.

Для цитирования: Chiang Fu-Tsai, Li Pei-Jung, Chung Shih-Ping, Pan Lung-Fa, Pan Lung-Kwang. Quantitative analysis of multiple biokinetic models using a dynamic water phantom: A feasibility study.. Bioengineered. 2016. DOI: 10.1080/21655979.2016.1197738.

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