Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion.

IF 1.2 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES Jove-Journal of Visualized Experiments Pub Date : 2025-01-17 DOI:10.3791/67062
Asma Alahmadi, Nezar Hamed, Yassin Abdelsamad, Tahir Sharif, Afrah Alshalan, Farid Alzhrani
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Abstract

This study aimed to determine whether fusing pre- and post-operative computed tomography (CT) images could help in assessing electrode placement and center frequency (CF) in cochlear implant (CI) recipients. A secondary objective was to compare automatic fusion with manual methods for measuring cochlear parameters. The study included twenty ears with CIs that underwent both pre- and post-operative CT scans. Manual measurements of cochlear parameters were initially taken from the post-operative CT images, followed by automatic detection using fused pre- and post-operative CT images with otological software (OTOPLAN). Angular insertion depth (AID) and CF of each electrode contact were calculated using both methods, and error differences were assessed. The analysis showed significant differences between the two methods for cochlear width (B-value) and cochlear duct length (CDL); however, these differences were not clinically significant. Furthermore, there was no statistically significant difference in cochlear diameter (A-value). The mean differences were 0.04 mm for the A-value, 0.21 mm for the B-value, and 0.73 mm for the CDL. The comparison of AID and CF revealed non-significant differences between manual and automatic fusion methods across all electrode contacts, except for electrode number five. According to this study, fusing pre- and post-operative CT images can be used to determine electrode positions in CI recipients. Automatic fused images can potentially measure cochlear parameters, AID, and CF with reduced human interference. Therefore, this method may serve as another basis for creating anatomy-based fitting.

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计算机断层图像融合增强人工耳蜗植入中电极位置评估。
本研究旨在确定融合术前和术后计算机断层扫描(CT)图像是否有助于评估人工耳蜗(CI)受者的电极放置和中心频率(CF)。第二个目的是比较自动融合与人工方法测量耳蜗参数。该研究包括20只患有CIs的耳朵,这些耳朵在术前和术后都接受了CT扫描。人工测量耳蜗参数最初从术后CT图像中获取,然后使用耳科软件(OTOPLAN)融合术前和术后CT图像进行自动检测。用两种方法计算每个电极接触的角插入深度(AID)和CF,并评估误差差异。两种方法的耳蜗宽度(b值)和耳蜗导管长度(CDL)差异有统计学意义;然而,这些差异没有临床意义。两组耳蜗直径(a值)差异无统计学意义。a值、b值和CDL的平均差异分别为0.04 mm、0.21 mm和0.73 mm。AID和CF的比较显示,除了第5号电极外,手动和自动融合方法在所有电极接触上无显著差异。根据这项研究,融合术前和术后CT图像可用于确定CI受者的电极位置。自动融合图像可以潜在地测量耳蜗参数、AID和CF,减少人为干扰。因此,该方法可以作为创建基于解剖的拟合的另一个基础。
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来源期刊
Jove-Journal of Visualized Experiments
Jove-Journal of Visualized Experiments MULTIDISCIPLINARY SCIENCES-
CiteScore
2.10
自引率
0.00%
发文量
992
期刊介绍: JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.
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