MODEL BASED SCATTER CORRECTION IN PET

PET 中基于模型的散射校正

• 批准号: 2376860
• 负责人: JOHN M OLLINGER
• 金额: $ 14.13万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-07-01 至 1999-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2376860
• 关键词: Macaca; biomedical equipment development; clinical biomedical equipment; diagnosis quality /standard; human data; mathematical model; phantom model; positron emission tomography

DESCRIPTION:(Adapted from the abstract) This is a proposal to develop and test a Compton scatter correction suitable for application to 3-D (septa out) PET imaging.Septa removal increases scanner sensitivity by a factor of 4.8, but also increases scatter events about a factor of three. The increased sensitivity can result in benefits of dose reduction, faster imaging, or noise reduction, but first it is necessary to have an accurate scatter correction. The goal of this research is to develop a scatter correction algorithm for 3-D PET based on physical principles using both transmission and emission images, and the theory of Compton scattering to calculate the number of single scattered photons in a projection.This accounts for about 73% of the detected scattered coincidences. During the previous funding period model- based corrections were formulated which were accurate to within 12% and could be computed on a current workstation in under 6 minutes, which is only 8% of the time required to reconstruct the whole 3-D set. The investigators propose to further develop the algorithm to include detector efficiency normalization, convolutional correction for multiple scatters, and correction for scatter originating from activity outside the field of view as well as a thin-septa model. The algorithm will be evaluated using the SIMSET Monte Carlo code, phantom imaging, and human studies. Uniformity, contrast recovery and quantitative accuracy of regional estimates will serve as validation measures. The tested algorithm and its documentation will be made available to other investigators.

描述：（改编自摘要）这是一个建议， 并测试适合于应用于3D的康普顿散射校正 （隔片取出）PET成像。隔片取出通过以下方式提高扫描仪灵敏度： 4.8倍，但也增加了散射事件约4.8倍。 三. 增加的灵敏度可以导致剂量的益处 减少，更快的成像，或降噪，但首先是必要的 以获得精确的散射校正。 本研究的目标是 开发基于物理的三维PET散射校正算法 使用透射和发射图像的原理，以及 康普顿散射计算的数量单散射 这占了探测到的光子的大约73%。 零星的巧合 在上一个供资期间， 制定了修正，准确度在12%以内， 在当前的工作站上计算不到6分钟，这是唯一的 8%的时间来重建整个3D集。 的 研究人员建议进一步开发该算法， 检测器效率归一化，多个卷积校正 散射，并对源自外部活动的散射进行校正 视野以及薄隔膜模型。 算法将是 使用SIMSET Monte Carlo代码、体模成像和人体 问题研究均匀性、对比度恢复和定量准确性 区域估计数将作为验证措施。 被测 算法及其文档将提供给其他 investigators.