@inproceedings{f7a23a1d5ca544f98f6f7b1aa4056c23,
title = "Investigating angiographic injection parameters for cerebral aneurysm hemodynamic characterization using patient-specific simulated angiograms",
abstract = "Cerebral aneurysm (CA) rupture is one of the major causes of hemorrhagic stroke. During endovascular therapy (ET), neurointerventionalists rely on qualitative image sequences and do not have access to crucial quantitative hemodynamic information. Quantifying angiographic image sequences can provide vital information, but it is not possible to perform this in a controlled manner in vivo. Computational fluid dynamics (CFD) is a valuable tool capable of providing high fidelity quantitative data by replicating the blood flow physics within the cerebrovasculature. In this work, we use simulated angiograms (SA) to quantify the hemodynamic interaction with a clinically utilized contrast agent. SA enables extraction of time density curves (TDC) within the desired region of interest to analyze hemodynamic parameters such as time to peak (TTP) and mean transit time (MTT) within the aneurysm. We present on the quantification of several hemodynamic parameters of interest for multiple, clinically-relevant scenarios such as variable contrast injection duration and bolus volumes for 7 patient-specific CA geometries. Results indicate that utilizing these analyses provides valuable hemodynamic information relating vascular and aneurysm morphology, contrast flow conditions and injection variability. The injected contrast circulates for multiple cardiac cycles within the aneurysmal region, especially for larger aneurysms and tortuous vasculature. The SA approach enables determination of angiographic parameters for each scenario. Together, these have the potential to overcome the existing barriers in quantifying angiographic procedures in vitro or in vivo, and can provide clinically valuable hemodynamic insights for CA treatment.",
keywords = "Angiographic Analysis, Angiographic Parametric Imaging (API), Cerebral Aneurysm, Computational Fluid Dynamics (CFD), Hemodynamics, Simulated Angiograms, Time Density Curve",
author = "R. White and A. Shields and Nagesh, \{S. V.\} and E. Smith and J. Davies and Bednarek, \{D. R.\} and S. Rudin and C. Ionita and V. Chivukula",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Medical Imaging 2023: Biomedical Applications in Molecular, Structural, and Functional Imaging ; Conference date: 19-02-2023 Through 22-02-2023",
year = "2023",
doi = "10.1117/12.2653871",
language = "English",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Gimi, \{Barjor S.\} and Andrzej Krol",
booktitle = "Medical Imaging 2023",
address = "United States",
}