“高分辨率PET动态成像与相关参数估计”中期报告

刘华锋 马建华

摘要：按照工作计划及预期目标，我们切实把握PET成像中的两大关键问题：放射性浓度重构和参数图像重建。两年来，在国家目标和学科发展趋势的导引下，立足充分把握成像组织生理模型基础上，沿袭经典PET重建与创新状态空间重建两种技术路线，采用Monte Carlo仿真、动物模型、真实人体数据三种验证手段，发展与提出了一系列PET成像新方法。

关键词：正电子断层成像；图像重建；状态空间法

Abstract：Pioneered the state space framework for functional molecular image reconstruction， where the proposed strategy formulates the organ activity distribution through tracer kinetics models and the photon-counting measurements through observation equations. This paradigm undertakes the uncertainties on both the imaging system model and the measurement data model； and it is capable of unifying the dynamic and the static reconstruction problems into a general framework， and can simultaneously estimate the tissue attenuation map and activity map. This series of efforts have been extremely well received by the international community， and have been presented at a number of top conferences such as MICCAI， ICIP and published/accepted by top journals such as TBME， TMI， PMB.

Keywords：PET； Image Reconstruction； State space method

閱读全文链接（需实名注册）：http：//www.nstrs.cn/xiangxiBG.aspx？id=48453&flag=1