权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Energy-based image reconstruction for new generation PET

新一代 PET 的基于能量的图像重建

基本信息

批准号：
7230209
负责人：
Lucretiu Marian Popescu
金额：
$ 19.1万
依托单位：
UNIVERSITY OF PENNSYLVANIA
依托单位国家：
美国
项目类别：
财政年份：
2006
资助国家：
美国
起止时间：
2006-04-01 至 2009-03-31
项目状态：
已结题

项目摘要

DESCRIPTION (provided by applicant): This project is part of a long-term effort to improve the quality of the images obtained by positron emission tomography (PET), which has become an important technique for tomographic imaging in diagnostic radiology and nuclear medicine. The project involves computer methods for generating images from the basic detector data of PET scanners, including processing operations to compensate for non-ideal characteristics of the data, and algorithms for image reconstruction from the projection data produced by the initial processing. With the present PET scanners and methods for processing the data, it is found that the images obtained for large patients are of much lower quality than the images for normal-sized patients, because the data set from a PET scan of a large patient contains a larger proportion of scattered photons and a smaller proportion of unscattered photons, compared to the data from a normal-sized patient. The aim of this project is to improve the images obtained in PET through the use of new methods of processing the data that exploit the marked difference between the energy distributions of unscattered and scattered photons. The new energy-based methods will take advantage of the better energy resolution of modern scanners and will enable full use of the excellent energy resolution and timing of the next generation of scintillation crystals and detectors. The methods proposed are general and can be applied to the current conventional PET scanners in a simpler manner than the presently used image based scatter estimation methods. They will also be designed for the needs of the new generation of scanners for time-of-flight PET (TOF-PET), for which adequate scatter correction techniques have not yet been developed. The approach is to develop, implement, test, and evaluate for feasibility, new energy-based methods for PET and TOF-PET involving combined image reconstruction and scatter estimation. These methods will be compared with extensions of the most widely used conventional method, which is the single-scatter- simulation method. The comparison studies will be done using simulated data and using experimental PET data from physical test phantoms. New energy-based methods have the potential to significantly improve the accuracy of the voxel-by-voxel estimates of radiotracer uptake in PET images, which would lead to improvements in the clinical applications of PET, such as PET imaging of cancer, which would in turn have a significant impact on public health.

描述（由申请人提供）：该项目是提高正电子发射断层扫描（PET）图像质量的长期努力的一部分，正电子发射断层扫描（PET）已成为诊断放射学和核医学中断层成像的重要技术。该项目涉及从 PET 扫描仪的基本探测器数据生成图像的计算机方法，包括补偿数据非理想特性的处理操作，以及根据初始处理产生的投影数据重建图像的算法。利用现有的PET扫描仪和处理数据的方法，发现为体型较大的患者获得的图像的质量比正常体型的患者的图像质量低得多，因为与来自正常体型的患者的数据相比，来自体型较大的患者的PET扫描的数据集包含较大比例的散射光子和较小比例的未散射光子。该项目的目的是通过使用新的数据处理方法来改进 PET 中获得的图像，这些方法利用了非散射光子和散射光子能量分布之间的显着差异。新的基于能量的方法将利用现代扫描仪更好的能量分辨率，并将充分利用下一代闪烁晶体和探测器的出色能量分辨率和定时。所提出的方法是通用的并且可以以比目前使用的基于图像的散射估计方法更简单的方式应用于当前的传统PET扫描仪。它们还将针对新一代飞行时间 PET (TOF-PET) 扫描仪的需求而设计，目前尚未开发出足够的散射校正技术。该方法旨在开发、实施、测试和评估可行性、新的基于能量的 PET 和 TOF-PET 方法，涉及组合图像重建和散射估计。这些方法将与最广泛使用的传统方法（即单散射模拟方法）的扩展进行比较。比较研究将使用模拟数据和来自物理测试模型的实验 PET 数据来完成。基于新能量的方法有可能显着提高 PET 图像中放射性示踪剂摄取的逐体素估计的准确性，这将导致 PET 临床应用的改进，例如癌症 PET 成像，进而对公众健康产生重大影响。