Single-tracer Multiparametric PET Imaging

单示踪剂多参数 PET 成像

• 批准号: 10706613
• 负责人: Guobao Wang
• 金额: $ 62.03万
• 依托单位: UNIVERSITY OF CALIFORNIA AT DAVIS
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-19 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10706613
• 关键词: Address; Alzheimer' s Disease; Ammonia; Applications Grants; Blood; Blood Glucose; Blood flow; Brain; Butanols; Chlorides; Clinic; Clinical; Clinical Research; Coupling; Cyclotrons; Data; Development; Disease; FDA approved; Glucose; Goals; Half-Life; Heart Diseases; Hour; Image; Intravenous; Knowledge; Length; Malignant Neoplasms; Measures; Metabolic; Metabolism; Methods; Modeling; Myocardial; Myocardium; Neurodegenerative Disorders; Noise; Organ; Patients; Physiological Processes; Physiology; Pilot Projects; Positron-Emission Tomography; Process; Protocols documentation; Proxy; Radiation Dose Unit; Research; Scanning; Site; System; Techniques; Time; Tissues; Tracer; Tumor Angiogenesis; Work; cancer therapy; cellular imaging; clinical application; clinical care; cost; detection sensitivity; fluorodeoxyglucose; fluorodeoxyglucose positron emission tomography; glucose metabolism; glucose transport; image reconstruction; imaging biomarker; improved; ischemic cardiomyopathy; kernel methods; kinetic model; metabolic imaging; multiparametric imaging; perfusion imaging; photon-counting detector; public health relevance; radiotracer; temporal measurement; tumor; tumor metabolism; whole body imaging

PROJECT SUMMARY Blood flow and cellular metabolism are two basic but vital physiological processes that are often dysregulated in major diseases. Imaging of flow-metabolism mismatch or coupling is of broad clinical and research significance in many diseases, for instance, in ischemic cardiomyopathy for assessing myocardial viability, in cancer for grading tumor aggressiveness, and in neurodegenerative diseases for studying brain function. A major challenge in PET imaging of flow-metabolism is that scanning for these two processes requires two different radiotracers–18F-fluorodeoxyglucose (FDG) for metabolism and a second flow radiotracer for perfusion imaging. While FDG is widely available in the clinic for metabolic imaging, perfusion imaging by PET is clinically limited, resulting in underutilization of flow-metabolism imaging in both research and clinics. The goal of this project is to develop a single-tracer multiparametric PET imaging solution for simultaneous flow- metabolism imaging using only 18F-FDG without the need for a second flow-specific radiotracer. Early attempts from others and our group have used FDG blood-to-tissue delivery rate (K1) as a proxy of blood flow. However, the accuracy of FDG K1 approximating blood flow largely depends on the FDG extraction fraction in tissues and is also compromised by the correlation between FDG K1 and blood glucose levels. Our preliminary work has tackled these problems specifically in the myocardium and demonstrated the feasibility of using FDG for measuring myocardial blood flow. The focus of this proposal is to extend the effort to a large study and to the whole body, and further develop the enabling techniques to improve FDG blood flow quantification. We will (1) develop glucose-normalized extraction fraction correction for FDG blood flow quantification in various organs using total-body dynamic PET; (2) develop high-temporal resolution kinetic modeling for improved FDG blood flow quantification; (3) improve FDG blood flow imaging on short PET scanners using advanced image reconstruction. Successful completion of this project will develop a new technical capability of 18F-FDG for simultaneous multiparametric imaging of blood flow and glucose metabolism with reduced radiation dose, imaging time and cost. This would also open up many new opportunities for clinical applications that require multiparametric imaging biomarkers but have been historically restricted by the accessibility of perfusion imaging, thus making a broad impact in multiple PET applications for patient clinical care and research.

项目总结

项目成果

Super-resolution reconstruction of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mstyle><mml:mstyle><mml:mi>γ</mml:mi></mml:mstyle></mml:mstyle></mml:math>-ray CT images for PET-enabled dual-energy CT imaging.

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• DOI: 10.1117/12.2654431
• 发表时间: 2024
• 期刊: Proceedings of SPIE--the International Society for Optical Engineering
• 作者: Zhu,Yansong;Spencer,BenjaminA;Xie,Zhaoheng;Leung,EdwinK;Bayerlein,Reimund;Omidvari,Negar;Cherry,SimonR;Qi,Jinyi;Badawi,RamseyD;Wang,Guobao
• 通讯作者: Wang,Guobao