Method for determining cardiovascular information
    1.
    发明授权
    Method for determining cardiovascular information 有权
    心血管信息的确定方法

    公开(公告)号:US09405886B2

    公开(公告)日:2016-08-02

    申请号:US12661491

    申请日:2010-03-17

    IPC分类号: G06F19/16 G06F19/00

    摘要: A noninvasive patient-specific method is provided to aid in the analysis, diagnosis, prediction or treatment of hemodynamics of the cardiovascular system of a patient. Coronary blood flow and pressure can be predicted using a 3-D patient image-based model that is implicitly coupled with a model of at least a portion of the remaining cardiovascular system. The 3-D patient image-based model includes at least a portion of the thoracic aorta and epicardial coronaries of the patient. The shape of one or more velocity profiles at the interface of the models is enforced to control complex flow features of recirculating or retrograde flow thereby minimizing model instabilities and resulting in patient-specific predictions of coronary flow rate and pressure. The invention allows for patient-specific predictions of the effect of different or varying physiological states and hemodynamic benefits of coronary medical interventions, percutaneous coronary interventions and surgical therapies.

    摘要翻译: 提供非侵入性患者特异性方法来帮助分析,诊断,预测或治疗患者心血管系统的血液动力学。 可以使用与至少一部分剩余心血管系统的模型隐含耦合的基于3-D患者图像的模型来预测冠状动脉血流和压力。 3-D患者基于图像的模型包括患者的胸主动脉和心外膜冠状动脉的至少一部分。 模型界面处的一个或多个速度分布的形状被强制以控制循环或逆行流的复杂流动特征,从而最小化模型不稳定性,并导致患者对冠状动脉血流速率和压力的预测。 本发明允许患者特异性预测冠状动脉介入治疗,经皮冠状动脉介入治疗和手术治疗的不同或不同生理状态和血液动力学益处的影响。

    Method for predictive modeling for planning medical interventions and simulating physiological conditions
    8.
    发明授权
    Method for predictive modeling for planning medical interventions and simulating physiological conditions 失效
    用于规划医疗干预和模拟生理条件的预测建模方法

    公开(公告)号:US06236878B1

    公开(公告)日:2001-05-22

    申请号:US09083857

    申请日:1998-05-22

    IPC分类号: A61B505

    摘要: A method for predictive modeling of human anatomy and physiologic function for planning medical interventions on at least one portion of a body with the goals of improving the outcome of the medical intervention and reducing the risks associated with medical intervention. The method comprising the steps of generation of multi-dimensional continuous geometric models of human anatomy, the generation of models of physiologic functions, the integration of the multi-dimensional continuous geometric human anatomy models with the physiologic functional models, and the use of the integrated models to predict the outcome of medical interventions. Also a method for the integration of multi-dimensional continuous geometric models of human anatomy and models of physiologic function to evaluate and predict changes in physiologic functions in various functional states, stresses and environments and a method for generating data for disease research.

    摘要翻译: 一种人体解剖学和生理功能的预测模拟方法,用于在身体的至少一部分上规划医疗干预,目标是改善医疗干预的结果并降低与医疗干预相关的风险。 该方法包括以下步骤:产生人体解剖学的多维连续几何模型,生成生理功能模型,将多维连续几何人体解剖模型与生理功能模型的集成以及集成 模型预测医疗干预措施的结果。 整合人体解剖学多维连续几何模型和生理功能模型的方法,用于评估和预测各种功能状态,应力和环境中生理功能的变化以及生成疾病研究数据的方法。

    Method and system for sensitivity analysis in modeling blood flow characteristics
    9.
    发明授权
    Method and system for sensitivity analysis in modeling blood flow characteristics 有权
    血流特征建模灵敏度分析方法与系统

    公开(公告)号:US09424395B2

    公开(公告)日:2016-08-23

    申请号:US13864996

    申请日:2013-04-17

    摘要: Methods for determining cardiovascular information for a patient include receiving patient-specific data regarding a geometry of the patient's vasculature; creating an anatomic model representing at least a portion of the patient's vasculature based on the patient-specific data; and creating a computational model of a blood flow characteristic based on the anatomic model. The method also includes identifying one or more of an uncertain parameter, an uncertain clinical variable, and an uncertain geometry; modifying a probability model based on one or more of the identified uncertain parameter, uncertain clinical variable, or uncertain geometry; determining a blood flow characteristic within the patient's vasculature based on the anatomic model and the computational model; and calculating, based on the probability model and the determined blood flow characteristic, a sensitivity of the determined fractional flow reserve to one or more of the identified uncertain parameter, uncertain clinical variable, or uncertain geometry.

    摘要翻译: 用于确定患者的心血管信息的方法包括接收关于患者脉管系统的几何形状的患者特异性数据; 基于患者特定的数据创建代表患者脉管系统的至少一部分的解剖模型; 并基于解剖模型创建血流特征的计算模型。 该方法还包括识别不确定参数,不确定临床变量和不确定几何中的一个或多个; 基于所识别的不确定参数,不确定临床变量或不确定几何中的一个或多个修改概率模型; 基于解剖模型和计算模型确定患者脉管系统内的血流特性; 并且基于所述概率模型和确定的血液流动特性,将所确定的分数流量储备的灵敏度计算到所识别的不确定参数,不确定的临床变量或不确定几何中的一个或多个。

    Thin film temperature measurement using optical absorption edge wavelength
    10.
    发明授权
    Thin film temperature measurement using optical absorption edge wavelength 有权
    使用光吸收边缘波长的薄膜温度测量

    公开(公告)号:US08786841B2

    公开(公告)日:2014-07-22

    申请号:US13378788

    申请日:2010-06-21

    IPC分类号: G01N21/00 G01N21/47

    CPC分类号: H01L21/67248 H01L22/12

    摘要: A technique for determining the temperature of a sample including a semiconductor film 20 having a measurable optical absorption edge deposited on a transparent substrate 22 of material having no measurable optical absorption edge, such as a GaN film 20 deposited on an Al2O3 substrate 22 for blue and white LEDs. The temperature is determined in realtime as the film 20 grows and increases in thickness. A spectra based on the diffusely scattered light from the film 20 is produced at each incremental thickness. A reference division is performed on each spectra to correct for equipment artifacts. The thickness of the film 20 and an optical absorption edge wavelength value are determined from the spectra. The temperature of the film 20 is determined as a function of the optical absorption edge wavelength and the thickness of the film 20 using the spectra, a thickness calibration table, and a temperature calibration table.

    摘要翻译: 一种用于确定样品的温度的技术,其包括具有沉积在不具有可测量的光吸收边缘的材料的透明基板22上的可测量的光吸收边缘的半导体膜20,例如沉积在用于蓝色的Al 2 O 3衬底22上的GaN膜20,以及 白色LED。 当膜20生长并且厚度增加时,温度是实时测定的。 在每个增量厚度下产生基于来自膜20的漫散射光的光谱。 在每个光谱上执行参考分区以校正设备伪像。 从光谱确定膜20的厚度和光吸收边缘波长值。 使用光谱,厚度校准表和温度校准表,确定膜20的温度作为光吸收边缘波长和膜20的厚度的函数。