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PMID: 37425071 Published · ppublish English Journal Article

Investigating Angiographic Injection Parameters for Cerebral Aneurysm Hemodynamic Characterization Using Patient-Specific Simulated Angiograms.

Proceedings of SPIE--the International Society for Optical Engineering ·Vol. 12468 ·2023-02-00

White R, Shields A, Nagesh SV, Smith E, Davies J, Bednarek DR, Rudin S, Ionita C, Chivukula V

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
作者与单位
共 9 位作者,点击展开单位 / ORCID
White R
Biomedical Engineering, Florida Institute of Technology, State University of New York at Buffalo.
Shields A
Medical Physics, State University of New York at Buffalo. | Canon Stroke and Vascular Research Center, State University of New York at Buffalo.
Nagesh S V
Medical Physics, State University of New York at Buffalo. | Canon Stroke and Vascular Research Center, State University of New York at Buffalo.
Smith E
Biomedical Engineering, Florida Institute of Technology, State University of New York at Buffalo.
Davies J
Department of Neurosurgery, State University of New York at Buffalo.
Bednarek D R
Medical Physics, State University of New York at Buffalo. | Canon Stroke and Vascular Research Center, State University of New York at Buffalo. | Department of Radiology, State University of New York at Buffalo.
Rudin S
Medical Physics, State University of New York at Buffalo. | Canon Stroke and Vascular Research Center, State University of New York at Buffalo. | Department of Neurosurgery, State University of New York at Buffalo. | Department of Radiology, State University of New York at Buffalo.
Ionita C
Medical Physics, State University of New York at Buffalo. | Canon Stroke and Vascular Research Center, State University of New York at Buffalo.
Chivukula V
Biomedical Engineering, Florida Institute of Technology, State University of New York at Buffalo.
Article Info
Journal
Proceedings of SPIE--the International Society for Optical Engineering
Abbr.
Proc SPIE Int Soc Opt Eng
ISSN
0277-786X
Published
2023-02-00
电子出版
2023-00-10
Language
English
Country/Region
United States
NLM ID
101524122
基金资助
NIBIB NIH HHS · R01 EB030092 · United States
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