公开(公告)号：EP3052013A1

公开(公告)日：2016-08-10

申请号：EP14850179.4

申请日：2014-10-03

Applicant: Howard University

Inventor： ANDERSON, John M.M.

IPC: A61B5/02

CPC classification number: A61B6/503 ,  A61B5/026 ,  A61B6/037 ,  A61B6/507 ,  A61B6/5217 ,  G06F19/00 ,  G16H50/50

Abstract: A myocardial blood flow analysis scan includes incorporating a pharmacological kinetic model with the standard factor analysis model where each time activity curve is assumed to be a linear combination of factor curves. Pharmacological kinetics based factor analysis of dynamic structures (K-FADS-II) model can be applied, whereby estimating factor curves in the myocardium can be physiologically meaningful is provided. Additional optional aspects include performing a discretization to transform continuous-time K-FADS-II model into a discrete-time K-FADS-II model and application of an iterative Improved Voxel-Resolution myocardial blood flow (IV-MBF) algorithm. Where the model is applied without assumption that a right ventricle tissue curve and a left ventricle tissue curve obey a particular mathematical relationship, a least squares objective function can be applied to obtain estimates for parameters of the pharmacological kinetic model by applying a majorize-minimize optimization technique to iteratively estimate the curves.

Abstract translation: 心肌血流分析扫描包括将药理动力学模型与标准因子分析模型相结合，其中每个时间活性曲线假定为因子曲线的线性组合。 提供了基于药理动力学的动态结构因子分析（K-FADS-II）模型，由此提供了心肌中的估计因子曲线在生理上有意义。 其他可选方面包括执行离散化以将连续时间K-FADS-II模型转换为离散时间K-FADS-II模型并应用迭代改进的体素分辨心肌血流（IV-MBF）算法。 在不假定右心室组织曲线和左心室组织曲线符合特定数学关系的情况下应用模型，可以应用最小二乘目标函数以通过应用优化最小化优化来获得药理学动力学模型参数的估计值 技术迭代估计曲线。

公开(公告)号：WO2015051256A1

公开(公告)日：2015-04-09

申请号：PCT/US2014/059062

申请日：2014-10-03

Applicant: HOWARD UNIVERSITY

Inventor： ANDERSON, John M.M.

IPC: A61B5/02

CPC classification number: A61B6/503 ,  A61B5/026 ,  A61B6/037 ,  A61B6/507 ,  A61B6/5217 ,  G06F19/00 ,  G16H50/50

Abstract: A myocardial blood flow analysis scan includes incorporating a pharmacological kinetic model with the standard factor analysis model where each time activity curve is assumed to be a linear combination of factor curves. Pharmacological kinetics based factor analysis of dynamic structures (K-FADS-II) model can be applied, whereby estimating factor curves in the myocardium can be physiologically meaningful is provided. Additional optional aspects include performing a discretization to transform continuous-time K-FADS-II model into a discrete-time K-FADS-II model and application of an iterative Improved Voxel-Resolution myocardial blood flow (IV-MBF) algorithm. Where the model is applied without assumption that a right ventricle tissue curve and a left ventricle tissue curve obey a particular mathematical relationship, a least squares objective function can be applied to obtain estimates for parameters of the pharmacological kinetic model by applying a majorize-minimize optimization technique to iteratively estimate the curves.

Abstract translation: 心肌血流分析扫描包括将药理动力学模型与标准因子分析模型结合，其中每个活动曲线被假定为因子曲线的线性组合。 可以应用动态结构（K-FADS-II）模型的药理动力学因子分析，从而提供心肌中估计因子曲线的生理意义。 其他可选方面包括执行离散化以将连续时间的K-FADS-II模型转换为离散时间的K-FADS-II模型，并应用迭代改进的体素分辨率心肌血流（IV-MBF）算法。 在没有假设右心室组织曲线和左心室组织曲线遵循特定数学关系的情况下应用模型的情况下，可以应用最小二乘方目标函数以通过应用主要最小化优化来获得药理动力学模型参数的估计 迭代估计曲线的技术。