Multimodality Vessel Modeling Analysis for Cerebral Arteriovenous Malformation
- 1 Philips Health Care, Philips Innovation Campus, Manipal University, Bangalore, India
- 2 Philips IP&S, Philips Innovation campus, Bangalore, India
- 3 Philips Research, Philips Innovation Campus, Bangalore, India
Abstract
Cerebral arteriovenous malformations (AVMs) are a type of vascular anomaly consisting of large intertwined vascular growth (Nidus) that is prone to serious hemorrhaging and can result in patient death if left untreated. Intervention through surgical clipping of feeding and draining vessels to the Nidus is a common treatment. However, identification of which vessels to clip is challenging even to experienced surgeons aided by conventional image guidance systems. The lumped modeling for the Cerebral Arteriovenous Malformation (CAVM) hemodynamic analysis is of high importance in clinical world. As part of the treatment planning for CAVM, it is difficult for doctors to assess the NIDUS part, which may get rupture while inserting catheter. In this paper, we have proposed a non-invasive method for assessing the hemodynamic condition of AVM. The measurement of flow and pressure without intervention along the vessel is a big challenge due to occlusion, bending and thinning of the vessel in Arteriovenous Malformation patients. In this paper, we analyzed a lumped model for the vascular malformation using various imaging multi-modalities that help to analyze CAVM Structures.
- Y. B. Shi, P. Lawford and R. Hose, “Review of Zero-D and 1-D Models of Blood Flow in the Cardiovascular System,” BioMedical Engineering OnLine, Vol. 10, 2011, p. 33. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3103466/ http://dx.doi.org/10.1186/1475-925X-10-33
- T. F. Massoud, G. J. Hademenos, W. L. Young, E. Gao and J. Pile-Spellman, “Can Induction of Systemic Hypotension Help Prevent Nidus Rupture Complicating Arteriovenous Malformation Embolization? Analysis of Underlying Mechanisms Achieved Using a Theoretical Model,” AJNR American Journal of Neuroradiology, Vol. 21, 2000, pp. 1255-1267.
- “Modelling Cerebral Haemodynamics: A Move towards Predictive Surgery,” Edlong, 2007, Thesis Report.
- E. Gao and W. L. Young, “Theoretical Modelling of Arteriovenous Malformation Rupture Risk: A Feasibility and Validation Study,” Medical Engineering & Physics, Vol. 20, No. 7, 1998, pp. 489-501.
- Y. Zheng and J. Mayhew, “A Time-Invariant Visco-Elastic Windkessel Model Relating Blood Flow and Blood Volume,” Neuroimage, Vol. 47, No. 4, 2009, pp. 1371-1380.
- “Experimental Model of Intracranial AVM in the Acute Stage,” Shinichi, Department of Neurology, Medical University, Fukushima, Neurological Medical Chir (Tokyo), 2005, pp. 288-293.
- T. Li, “AVM Compartments, Do They Modulate Nidal Pressures? An Electrical Network Analysis,” AJNS, 2012, pp. 173-180.
- Y. Cao, “Frequency-Independent Equivalent-Circuit Model for On-Chip Spiral Inductors,” IEEE Journal of SolidState Circuits, Vol. 38, No. 3, 2003, p. 419.
- M. S. Olufsen and A. Nadim, “On Deriving Lumped Models for Blood Flow and Pressure in the Systemic Arteries,” Mathematical Biosciences and Engineering, Vol. 1, No. 1, 2004, pp. 61-80.
- X. L. Zhu, “A Lumped Parameter Model of Coronary Flow to Analyze Time Intensity Curves Extracted from Angiograms Electrode-Rail Dielectrophoretic Assembly Effect: Formation of Single Curvilinear Particle-Chains on Spiral Microelectrodes,” Microfluidics and Nanofluidics, Vol. 9, No. 4-5, 2010, pp. 981-988.
- J. Kim, N. A. Thacker, P. A. Bromiley, et al., “A Simple Electrical Equivalence Model of Intracranial Cerebrospinal Fluid Pulsatility: Design and Validation in Healthy Normals,” Proceedings of MIUA, Manchester, 4-5 July 2006, pp. 1-19.