Tracer Kinetic Modeling and Derivation of Time Activity Curves in Positron Emission Tomography in order to Enhance Accuracy in Cancerous Regions Diagnosis

Document Type : Research Article

Authors

1 Department of Mechanical Engineering, Imam Khomeini International University, Qazvin, Iran

2 Department of Mechanical Engineering, Pardis Branch, Islamic Azad University, Pardis, Iran

3 Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran Division of Nuclear Medicine, Department of Radiology, School of Medicine, Johns Hopkins University, Baltimore, USA

Abstract

Positron Emission Tomography is one of the most efficient cancer diagnosis methods. In this method a radioactive (positron emitting) substance called Tracer is injected to the patient and the positron emission tomography scanner produces images by capturing the positrons emitted from the tracer existing inside the body. The qualified methods has mistaken in cancer diagnostics. In this paper, a mathematical method is used for diagnosis of cancerous region based on image obtained from positron emission tomography. A compartmental model based on ordinary differential equation is used for this reason. The fludeoxyglucose tracer which is one of most famous tracer for cancer diagnostic is used for modeling and the three compartments model is applied. To verify the applied mathematical methods, the experimental results of real case (positron emission tomography imaging of a mouse) is investigated and activity curve of tracer for different region of real case are plotted for diagnosis of cancerous tissue. The results indicated that reviewing time activity curves alongside positron emission tomography images can help enhancing the accuracy of cancer diagnosis.

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References

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Amirkabir Journal of Mechanical Engineering
Volume 50, Issue 4
November and December 2018
Pages 813-822

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