Simulation study of Hemodynamic in Bifurcations for Cerebral Arteriovenous Malformation using Electrical Analogy

سال انتشار: 1396
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 40

فایل این مقاله در 12 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_JBPE-7-2_007

تاریخ نمایه سازی: 30 دی 1402

چکیده مقاله:

Background and Objective: Cerebral Arteriovenous Malformation (CAVM) hemodynamic is disease condition, results changes in the flow and pressure level in cerebral blood vessels. Measuring flow and pressure without catheter intervention along the vessel is big challenge due to vessel bifurcations/complex bifurcations in Arteriovenous Malformation patients. The vessel geometry in CAVM patients are complex, composed of varying diameters, lengths, and bifurcations of various angles. The variations in the vessel diameter and bifurcation angle complicate the measurement and analysis of blood flow features invasively or non-invasively.Methods: In this paper, we proposed a lumped model for the bifurcation for symmetrical and asymmetrical networks in CAVM patients. The models are created using MATLAB Simulation software for various bifurcation angles. Each bifurcation angle created using electrical network- RLC. The segmentation and pre-processing of bifurcation vessels are implemented using adaptive segmentation. The proposed network address clinicians problem by measuring hemodynamic non-invasively. The method is applicable for any types of bifurcation networks with different bifurcation angles in CAVM patients.Results: In this work, we constructed a mathematical model, measured hemodynamic for ۲۳ patients (actual and simulated cases) with ۶۰ vessel bifurcation angles variations. The results indicate that comparisons evidenced highly significant correlations between values computed by the lumped model and simulated mechanical model for both networks with p < ۰.۰۰۰۱. A P value of less than ۰.۰۵ considered statistically significant.Conclusion: In this paper, we have modelled different bifurcation types and automatically display pressure and flow non-invasively at different node and at different angles of bifurcation in the complex vessel with help of bifurcation parameters, using lumped parameter model. We have simulated for different bifurcation angles and diameters of vessel for various imaging modality and model extend for different organs. This will help clinicians to measure haemodynamic parameters noninvasively at various bifurcations, where even catheter cannot be reached.

کلیدواژه ها:

نویسندگان

Y Kiran Kumar

Philips Research, Research Scholar, Manipal University, India

S B Mehta

Manipal University, India

M Ramachandra

Manipal University, India

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :
  • Massoud TF, Hademenos GJ, Young WL, Gao E, Pile-Spellman J. ...
  • Kumar YK, Mehta S, Ramachandra M. Cerebral Arteriovenous Malformation Modelling. ...
  • Kalsho G, Kassab GS. Bifurcation asymmetry of the porcine coronary ...
  • Hoogstraten HW, Kootstra JG, Hillen B, Krijger JK, Wensing PJ. ...
  • Goubergrits L, Affeld K, Fernandez-Britto J, Falcon L. Investigation of ...
  • Malve M, Chandra S, Lopez-Villalobos JL, Finol EA, Ginel A, ...
  • Auricchio F, Conti M, Ferrazzano C, Sgueglia GA. A simple ...
  • Smith NP. Coronary flow mechanics: an anatomically based mathematical model ...
  • Mirzaee MR, Ghasemalizadeh O, Firoozabadi B. Exact simulating of human ...
  • Gijsen FJ, Wentzel JJ, Thury A, Lamers B, Schuurbiers JC, ...
  • Bowles RI, Dennis SC, Purvis R, Smith FT. Multi-branching flows ...
  • Blagojevic M, Nikolic A, Zivkovic M, Stankovic G. A novel ...
  • Murray CD. The physiological principle of minimum work applied to ...
  • Romijn M, Gratama van Andel HA, van Walderveen MA, Sprengers ...
  • Bergland GD. Numerical Analysis: A fast fourier transform algorithm for ...
  • Zhang S, Wang L. Fast Fourier transform option pricing with ...
  • Sezgin M. Survey over image thresholding techniques and quantitative performance ...
  • Otsu N. A threshold selection method from gray-level histograms. Automatica. ...
  • Liao P-S, Chen T-S, Chung P-C. A fast algorithm for ...
  • Kumar YK, Mehta SB, Ramachandra M. Vascular Segmentation of Cerebral ...
  • Wang S, editor. A Lumped Parameters Dynamic Model for Cerebral ...
  • Gehalot P, Zhang R, Mathew A, Behbehani K. Efficacy of ...
  • Pries AR, Secomb TW, Gaehtgens P. Structural adaptation and stability ...
  • Farnoush A, Avolio A, Qian Y. Effect of bifurcation angle ...
  • Arfken G. Mathematical Methods for Physicists. ۳rd ed. Orlando, FL: ...
  • Cartwright JH, Piro O. The dynamics of Runge–Kutta methods. International ...
  • Kumar YK, Mehta S, Ramachandra M. A Novel method of ...
  • De Lazzari C, Neglia D, Ferrari G, Bernini F, Micalizzi ...
  • Bhojwani SN. Simulation of physiological signals using wavelets: University of ...
  • SPSS Base ۱۰.۰ for Windows User’s Guide. SPSS Inc.: Chicago ...
  • نمایش کامل مراجع