Chapter 36 - Absolute Cerebral Blood Flow with [ 15 O]Water and PET: Determination Without a Measured Input Function

摘要: This chapter presents a method to measure absolute cerebral blood flow (CBF) following bolus injection using only dynamic tissue radioactivity values derived from reconstructed image data. As in all CBF methods, the input function is assumed be common brain pixels. Each pixel's time–activity curve therefore has information about local and function. By analyzing pixels simultaneously, can estimated. Further, theory implementation of new present results simulated data human studies are described. The Gauss–Newton (GN) produce accurate measurements when follow model. Tissue heterogeneity other factors large bias GN values. These model errors much smaller biases algorithms that use measured estimating both function, algorithm more flexibility minimizing Ψ and, therefore, sensitive errors. Two modified methods presented reduced global bias, but eliminated positive correlation with those functions. Therefore, better for distribution volume required approach reliable