Analysis of Intracranial Aneurysm Detection using Time-based Parametric Color-Coded Cerebral Angiogram Vs. Conventional Digital Subtraction Angiography

A. Adam, A. Faried, Wargian Hadisaputra, B. R. Hermanto, M. Arifin
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Abstract

Introduction: The worldwide prevalence of intracranial aneurysms is estimated to be 5-10%; approximately 10-12 million people are affected by intracranial aneurysms in the United States (US), and they are considered a major problem in public health.The manual interpretation of intracranial aneurysms based on visual examinations and direct observation of medical imaging techniques such as computed tomography (CT) scans, magnetic resonance imaging (MRI), or any of the digital subtraction angiography (DSA), are still presented in monochrome form, and it takes time to interpret the medical images.Methods: Alternative methods are in development that would allow for detection of intracranial aneurysms using open source MATLAB software. This method is a way to observe the aneurysm using the 2 dimensional (2D) DSA data based on the calculations of time to peak (TTP) and time duration (TD) of the contrast agent flow in the blood vessel in order to capture the aneurysm and visualize it using a color system based on a specific index.Results: In this study, the color changes of the DSA data that were processed using open source MATLAB software were found in 24 cases (88.9%) and only 3 cases (11.1%) did not show any color changes. Based on Spearman's correlation test, there was a significant correlation between the size of the high dome, dome-neck ratio, and the aspect ratio (p <0.01) on the color changes of data that were processed using DSA MATLAB software.Conclusion: The modification methods that capture color changes in different blood vessels are expected to be able to assist clinicians in the detection of intracranial aneurysms more quickly and precisely and are also highly dependent on the subjectivity of the observer; this method is a way to help neurosurgeons come up with new approaches for the management of aneurysms. Key Words: Intracranial aneurysm, DSA, MATLAB software, color changes
基于时间的参数彩色编码脑血管造影与传统数字减影血管造影颅内动脉瘤检测的对比分析
导言:颅内动脉瘤的全球患病率估计为5-10%;在美国,大约有1000 - 1200万人受到颅内动脉瘤的影响,这被认为是公共卫生的一个主要问题。基于视觉检查和医学成像技术(如计算机断层扫描(CT)扫描、磁共振成像(MRI)或任何数字减影血管造影(DSA))的直接观察,手工解释颅内动脉瘤仍然以单色形式呈现,并且需要时间来解释医学图像。方法:使用开源MATLAB软件检测颅内动脉瘤的替代方法正在开发中。该方法是一种使用二维(2D) DSA数据观察动脉瘤的方法,该数据基于对比剂在血管中流动的峰值时间(TTP)和持续时间(TD)的计算,以便捕获动脉瘤并使用基于特定指数的颜色系统将其可视化。结果:本研究中,使用开源MATLAB软件处理的DSA数据有24例(88.9%)出现颜色变化,仅有3例(11.1%)无颜色变化。经Spearman相关检验,采用DSA MATLAB软件处理后的数据颜色变化与高圆顶尺寸、圆顶颈比和纵横比之间存在显著相关(p <0.01)。结论:捕捉不同血管颜色变化的修饰方法有望帮助临床医生更快、更准确地发现颅内动脉瘤,但也高度依赖于观察者的主观性;这种方法可以帮助神经外科医生找到治疗动脉瘤的新方法。关键词:颅内动脉瘤,DSA, MATLAB软件,颜色变化
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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