Systems and methods for estimating physiological heart measurements from medical images and clinical data

一种医学图像、生理学的技术，应用在图像数据处理、医学图像、超声/声波/次声图像/数据处理等方向

Active Publication Date: 2016-04-06
SIEMENS HEALTHCARE GMBH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Its causes are diverse and challenging to diagnose or treat

Method used

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  • Systems and methods for estimating physiological heart measurements from medical images and clinical data
  • Systems and methods for estimating physiological heart measurements from medical images and clinical data
  • Systems and methods for estimating physiological heart measurements from medical images and clinical data

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Embodiment Construction

[0025] The present invention relates to estimating physiological cardiac measurements from medical images and clinical data in order to personalize a patient-specific multiphysics cardiac model. Embodiments of the invention are described herein to give a visual understanding of a method for personalizing a computational multiphysics heart model. Digital images usually consist of digital representations of one or more objects (or shapes). Digital representations of objects are generally described herein in terms of identifying and manipulating objects. Such manipulations are virtual manipulations implemented in the computer system's memory or other circuitry / hardware. Accordingly, it is to be understood that embodiments of the present invention may be implemented within a computer system using data stored within the computer system.

[0026] figure 1 A computational multiphysics heart model according to an embodiment of the invention is illustrated. The multiphysics heart m...

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Abstract

A method and system for estimating physiological heart measurements from medical images and clinical data disclosed. A patient-specific anatomical model of the heart is generated from medical image data of the patient. A patient-specific multi-physics computational heart model is generated based on the patient-specific anatomical model by personalizing parameters of a cardiac electrophysiology model, a cardiac biomechanics model, and a cardiac hemodynamics model based on medical image data and clinical measurements of the patient. Cardiac function of the patient is simulated using the patient-specific multi-physics computational heart model. The parameters can be personalized by inverse problem algorithms based on forward model simulations or the parameters can be personalized using a machine-learning based statistical model.

Description

[0001] This application claims the benefit of U.S. Provisional Application No. 61 / 870,849, filed August 28, 2013, and U.S. Provisional Application No. 61 / 822,764, filed September 26, 2013, the disclosures of which are incorporated by reference in their entirety Incorporated into this article. Background technique [0002] The present invention relates to estimating physiological cardiac measurements of a patient based on medical image data and clinical measurements, and more particularly to estimating physiological cardiac measurements to personalize a patient-specific multi-physics cardiac model for disease diagnosis and therapy planning. [0003] Heart failure, a common form of cardiovascular disease with considerable mortality and morbidity, is a major threat to public health. Its causes are diverse and challenging to diagnose or treat. Therefore, complex cardiac models capable of simulating cardiac function in order to provide more information from clinical data, calcula...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00A61B8/08A61B5/00A61B5/02A61B5/04A61B5/055G06T17/00G09B23/30
CPCA61B8/0883A61B5/0044A61B5/02A61B5/055A61B2576/023G09B23/288G16H50/50G16H50/20G16H30/40A61B5/24G06N5/01
Inventor D.诺伊曼T.曼西S.格尔比奇B.乔治斯库A.卡门D.科马尼丘I.富伊特
Owner SIEMENS HEALTHCARE GMBH
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