Author/Authors :
Kiran Kumar Y. نويسنده Philips Research - Research Scholar - Manipal University , Mehta S. B. نويسنده Manipal University , Ramachandra M. نويسنده Manipal University
Abstract :
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 23 patients (actual and simulated cases) with 60 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 < 0.0001. A P value of less than 0.05 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.