Particle-number conservation, causality and linear response in biomedical imaging

作者：

Highlights：

• A model-independent tool based on linear response theory for analysis of dynamic PET data is presented, called response function technique.

• Interpretation of the response function as a probability density reflecting physiological processes in an organ.

• The results obtained from the response function technique align with biomedical state-of-the-art results in kidney metabolic processes.

摘要

•A model-independent tool based on linear response theory for analysis of dynamic PET data is presented, called response function technique.•Interpretation of the response function as a probability density reflecting physiological processes in an organ.•The results obtained from the response function technique align with biomedical state-of-the-art results in kidney metabolic processes.

论文关键词：Biomedical imaging,Positron emission tomography,Linear response theory,Kidney

论文评审过程：Received 3 May 2021, Accepted 29 May 2021, Available online 17 June 2021, Version of Record 17 June 2021.

论文官网地址：https://doi.org/10.1016/j.amc.2021.126418