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
Cite this paper
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