Literature DB >> 25571551

Model based non-invasive estimation of PV loop from echocardiography.

Lucian Itu, Puneet Sharma, Bogdan Georgescu, Ali Kamen, Constantin Suciu, Dorin Comaniciu.   

Abstract

We introduce a model-based approach for the non-invasive estimation of patient specific, left ventricular PV loops. A lumped parameter circulation model is used, composed of the pulmonary venous circulation, left atrium, left ventricle and the systemic circulation. A fully automated parameter estimation framework is introduced for model personalization, composed of two sequential steps: first, a series of parameters are computed directly, and, next, a fully automatic optimization-based calibration method is employed to iteratively estimate the values of the remaining parameters. The proposed methodology is first evaluated for three healthy volunteers: a perfect agreement is obtained between the computed quantities and the clinical measurements. Additionally, for an initial validation of the methodology, we computed the PV loop for a patient with mild aortic valve regurgitation and compared the results against the invasively determined quantities: there is a close agreement between the time-varying LV and aortic pressures, time-varying LV volumes, and PV loops.

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Year:  2014        PMID: 25571551     DOI: 10.1109/EMBC.2014.6945183

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  1 in total

1.  Applying Deep Neural Networks over Homomorphic Encrypted Medical Data.

Authors:  Anamaria Vizitiu; Cosmin Ioan Niƫă; Andrei Puiu; Constantin Suciu; Lucian Mihai Itu
Journal:  Comput Math Methods Med       Date:  2020-04-09       Impact factor: 2.238

  1 in total

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