A framework for personalization of coronary flow computations during rest and hyperemia

A coronary, resting technique, applied in the field of determining coronary circulation parameters during the resting state and hyperemia state of the patient, in the field of non-invasive means, can solve the problem of not being able to provide complete evaluation to the doctor

Active Publication Date: 2014-12-24
SIEMENS HEALTHCARE GMBH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, imaging results alone often do n...

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  • A framework for personalization of coronary flow computations during rest and hyperemia
  • A framework for personalization of coronary flow computations during rest and hyperemia
  • A framework for personalization of coronary flow computations during rest and hyperemia

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Embodiment Construction

[0024] Embodiments of the invention relate to the non-invasive determination of coronary circulation parameters in a patient during a resting state and a hyperemic state. Blood flow in the coronary arteries during the hyperemic state provides a functional assessment of the patient's coronary tree, which is a useful tool for the physician in diagnosis and treatment. A hyperemic state refers to a non-resting state in which the heart is pumping more blood than at rest. The non-invasive methods provided by embodiments of the present invention are ideal because the patient is not subjected to lengthy and / or uncomfortable invasive measurements, which inherently carry risks such as infection.

[0025] According to an embodiment of the invention, the imaging results are used to provide an anatomical map or model of the patient's coronary vessels or coronary tree. The anatomical information provided by imaging includes features such as the size and location of blockages in the coronar...

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Abstract

Embodiments relate to non-invasively determining coronary circulation parameters during a rest state and a hyperemic state for a patient. The blood flow in the coronary arteries during a hyperemic state provides a functional assessment of the patient's coronary vessel tree. Imaging techniques are used to obtain an anatomical model of the patient's coronary tree. Rest boundary conditions are computed based on non-invasive measurements taken at a rest state, and estimated hyperemic boundary conditions are computed. A feedback control system performs a simulation matching the rest state utilizing a model based on the anatomical model and a plurality of controllers, each controller relating to respective output variables of the coronary tree. The model parameters are adjusted for the output variables to be in agreement with the rest state measurements, and the hyperemic boundary conditions are accordingly adjusted. The hyperemic boundary conditions are used to compute coronary flow and coronary pressure variables.

Description

[0001] Cross References to Related Applications [0002] This application claims priority to US Provisional Application Serial No. 61 / 611,210, filed March 15, 2012, which is hereby incorporated by reference in its entirety. technical field [0003] The present invention relates generally to determining coronary circulation parameters of a patient, and more particularly to a non-invasive means utilizing a feedback control system for determining coronary circulation parameters of a patient during a resting state and a hyperemic state. Background technique [0004] With regard to blockages in a patient's coronary tree such as different coronary vessels, physicians typically use imaging results to diagnose the condition and determine treatment options. For example, if the blockage appears severe, physicians may use invasive measures, such as stenting or surgery, to relieve the blockage. However, imaging results alone often do not provide a complete evaluation to physicians. In...

Claims

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Application Information

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IPC IPC(8): A61B5/026G06F19/00A61B5/02A61B5/022
CPCA61B5/02007A61B5/02028A61B5/022A61B5/024A61B5/026G16H50/50A61B6/032A61B8/0891A61B5/021A61B6/481
Inventor L.M.伊图P.夏尔马X.郑A.卡门C.苏修D.科马尼修
Owner SIEMENS HEALTHCARE GMBH
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