Design of clinical intelligent percutaneous myocardial laser revascularization operating platform software

Percutaneous transmyocardial laser revasculariztion (PMLR), a kind of new percutaneous coronary intervention based on transmyocardial laser revascularization (TMLR) is to improve the circulation of ischemia myocardium by laser myocardial revascularization from the cardiac cavity. In our previous res...

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Bibliographic Details
Main Authors: Han Lina, Guo Shuli, Xu Wenhuan
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:MATEC Web of Conferences
Subjects:
Online Access:http://dx.doi.org/10.1051/matecconf/20164009005
Description
Summary:Percutaneous transmyocardial laser revasculariztion (PMLR), a kind of new percutaneous coronary intervention based on transmyocardial laser revascularization (TMLR) is to improve the circulation of ischemia myocardium by laser myocardial revascularization from the cardiac cavity. In our previous research, the characteristic of laser transmission in myocardium including photon reflection, absorption and scattering was introduced. The photon state at the emission, transmission and disappearance stage, the processes of photon weight decay and the change of photon movement step and direction were described and simulated by using Monte Carlo method. All of the above were simulated by MATLAB, and the relationship between different optical property parameters, absorption coefficient, scattering coefficient, anisotropic coefficient, and photon energy density in myocardium was discussed. In this study simulation of photon transport using Monte Carlo operating platform was programmed by C++ language to investigate the influence of increasing photons on the simulation at different optical properties parameters and clinical intelligent PMLR operating platform was established to achieve the optimal number of laser holes, aperture, single hole perfusion, threshold power and corresponding parameters of each hole, which provided a reference for the operation program.
ISSN:2261-236X