Modeling of individual left ventricle for cardiac resynchronization therapy

Yang Yang*, Ryo Saegusa, Shuji Hashimoto, Naoyoshi Aoyama, Kenji Hasegawa

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    On Cardiac Resynchronization Therapy, the right position for implantation of a pacemaker on the lateral wall of the left ventricle (LV), is the most important point for the surgical success. However, the past researches of the heart modeling have been developed the common heart model which has difficulty in application to individual diagnosis. Therefore the individual heart models which include individual physiological information are expected to use in the preoperative diagnosis by cardiac surgeons. In this paper, we propose a novel method of individual LV modeling which extracts the individual LV information from patient's CT images and constructs the individual LV model using the spring mass system. The model based on the patient's LV information can simulate his heart beating and suggest the surgical result by modifying the parameters of the model. We performed some experiments to construct the individual heart model of a normal healthy person and simulated the heart failure using it.

    Original languageEnglish
    Title of host publication2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006
    Pages1432-1437
    Number of pages6
    DOIs
    Publication statusPublished - 2006
    Event2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006 - Kunming
    Duration: 2006 Dec 172006 Dec 20

    Other

    Other2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006
    CityKunming
    Period06/12/1706/12/20

    Keywords

    • Cardiac resynchronization therapy (CRT)
    • Heart failure
    • Individual left ventricle model
    • Intraventricular delay

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Electrical and Electronic Engineering

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