Non-invasive estimation of input function in ultra-rapid CBF/CMRO2 measurement

超快速 CBF/CMRO2 测量中输入函数的无创估计

• 批准号: 21890171
• 负责人: KUDOMI Nobuyuki
• 金额: $ 1.66万
• 依托单位: Kagawa University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Research Activity Start-up
• 财政年份: 2009
• 资助国家: 日本
• 起止时间: 2009 至 2010
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-21890171/
• 关键词: 脳酸素代謝; 脳血流; PET; 入力関数; 動態解析; PET検査; 脳酸素代謝量; 非観血法; 迅速検査法; 画像診断

The Purpose of the present study is to develop a non-invasive method for obtaining cerebral blood flow (CBF) and oxygen metabolism (CMRO_2) in rapid PET measurement. In the present approach, a model function was introduced to express a shape and scale of input function, and then tissue response curves for water and oxygen, respectively, was calculated, i.e., model tissue curves were obtained. The model tissue curves were fitted to the measured multiple brain tissue curves and obtained parameters for the model function reconstructed the input functions. In the measured data, the accuracy of CBF and CMRO_2 were 13% using the non-invasive procedure. Also, simulation showed that the accuracy for the present method is around 10%. All these findings supported that the present method would of use for CBF and CMRO_2 PET examination.

本研究的目的是建立一种在PET快速测量中无创测量脑血流量(CBF)和氧代谢(CMRO2)的方法。在该方法中，引入一个模型函数来表示输入函数的形状和尺度，然后分别计算水和氧气的组织响应曲线，即得到模型组织曲线。将模型组织曲线与实测的多个脑组织曲线进行拟合，得到模型函数的参数，重构输入函数。在测量数据中，CBF和CMRO2的无创测量准确率为13%。仿真结果表明，该方法的精度在10%左右。这些结果支持本方法可用于CBF和CMRO_2PET检查。

项目成果

Optimization of transmission scan duration for 15O PET study with sequential dual tracer administration using N-index

• DOI: 10.1007/s12149-010-0374-x
• 发表时间: 2010-06-01
• 期刊: ANNALS OF NUCLEAR MEDICINE
• 影响因子: 2.6
• 作者: Kudomi, Nobuyuki;Watabe, Hiroshi;Iida, Hidehiro
• 通讯作者: Iida, Hidehiro

Non-invasive estimation of input function for rapid CBF-CMRO2 measurement using PET with DARG

使用 PET 和 DARG 对输入函数进行无创估计，以实现快速 CBF-CMRO2 测量

• 发表时间: 2010
• 期刊: Eur J Nucl Med Mol Imaging 37(Suppl)
• 作者: Kudomi N;Watabe H;Hayashi T;Sasakawa Y;Yamamoto Y;Nishiyama Y;Iida H.
• 通讯作者: Iida H.

ラットにおけるFDG PET画像からの入力関数の推定

根据大鼠 FDG PET 图像估计输入功能

• 发表时间: 2010
• 作者: 久冨信之;M.Bucci;V.Oikonen;A.Roivainen
• 通讯作者: A.Roivainen