Automatic Detection of Directional Lead Orientation in Deep Brain Stimulation using Photon-Counting Detector Computed Tomography: A Phantom Study.

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Stefan Hunsche, Alexandra Hellerbach, Markus Eichner, Christoph Panknin, Sebastian Faby, Jochen Wirths, Veerle Visser-Vandewalle, Harald Treuer, Dieter Fedders
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引用次数: 0

Abstract

Introduction: Photon-counting detector computed tomography (PCD-CT) represents the next generation of CT technology, offering enhanced capabilities for detecting the orientation of directional leads in deep brain stimulation (DBS). This study aims to refine PCD-CT-based lead orientation determination using an automated method applicable to devices from various manufacturers, addressing current methodological limitations and improving neurosurgical precision.

Methods: An automated method was developed to ascertain the orientation of directional DBS leads using PCD-CT data and grayscale model fitting for devices from Boston Scientific, Medtronic, and Abbott. A phantom study was conducted to evaluate the precision and accuracy of this method, comparing it with the stripe artifact method across different lead alignments relative to the CT gantry axis.

Results: Except for the Medtronic Sensight™ lead, where detection was occasionally unfeasible if aligned normal to the z-axis of the CT gantry, a clinically very unlikely alignment, the lead orientation could be automatically determined regardless of its position. The accuracy and precision of this automated method was comparable to those of the stripe artifact method.

Conclusion: PCD-CT enables the automatic determination of lead orientation from leading manufacturers with an accuracy comparable to the stripe artifact method, and it offers the added benefit of being independent of the clinically occurring orientation of the head and, consequently, the lead relative to the CT gantry axis.

使用光子计数探测器计算机断层扫描自动检测脑深部刺激中的导联方向:模型研究
简介光子计数探测器计算机断层扫描(PCD-CT)是下一代 CT 技术的代表,可增强检测脑深部刺激(DBS)定向导线方向的能力。本研究旨在使用一种适用于不同制造商设备的自动方法来完善基于 PCD-CT 的导线方向测定,解决当前方法的局限性并提高神经外科手术的精确性:开发了一种自动方法,利用 PCD-CT 数据和灰度模型拟合来确定波士顿科学公司、美敦力公司和雅培公司设备的定向 DBS 导联的方向。为了评估该方法的精确度和准确性,我们进行了一项模型研究,并将该方法与条纹伪影方法在不同导联相对于 CT 机架轴线的排列上进行了比较:除了美敦力 Sensight™ 导联在正常对准 CT 机架 Z 轴(临床上不太可能对准 Z 轴)的情况下偶尔无法检测外,无论其位置如何,都能自动确定导联方向。这种自动方法的准确度和精确度与条纹伪影方法相当:PCD-CT 可自动确定领先制造商的导联方向,其准确性与条纹伪影法相当,而且它还具有独立于临床上出现的头部方向以及导联相对于 CT 机架轴线方向的额外优势。
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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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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