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磁共振图像叠加引导:临床前应用的系统评估。

MR image overlay guidance: system evaluation for preclinical use.

机构信息

Department of Mechanical and Materials Engineering, Queen's University, Kingston, ON, Canada.

出版信息

Int J Comput Assist Radiol Surg. 2013 May;8(3):365-78. doi: 10.1007/s11548-012-0788-0. Epub 2012 Aug 25.

DOI:10.1007/s11548-012-0788-0
PMID:22926549
Abstract

PURPOSE

A clinical augmented reality guidance system was developed for MRI-guided musculoskeletal interventions Magnetic Resonance Image Overlay System (MR-IOS). The purpose of this study was to assess MRI compatibility, system accuracy, technical efficacy, and operator performance of the MR-IOS.

METHODS AND MATERIALS

The impact of the MR-IOS on the MR environment was assessed by measuring image quality with signal-to-noise ratio (SNR) and signal intensity uniformity with the system in various on/off states. The system accuracy was assessed with an in-room preclinical experiment by performing 62 needle insertions on a spine phantom by an expert operator measuring entry, depth, angle, and target errors. Technical efficacy and operator performance were tested in laboratory by running an experiment with 40 novice operators (20 using freehand technique versus 20 MR-IOS-guided) with each operator inserting 10 needles into a geometric phantom. Technical efficacy was measured by comparing the success rates of needle insertions between the two operator groups. Operator performance was assessed by comparing total procedure times, total needle path distance, presumed tissue damage, and speed of individual insertions between the two operator groups.

RESULTS

The MR-IOS maximally altered SNR by 2% with no perceptible change in image quality or uniformity. Accuracy assessment showed mean entry error of 1.6 ± 0.6 mm, depth error of 0.7 ± 0.5 mm, angle error of 1.5 ± 1.1°, and target error of 1.9 ± 0.8 mm. Technical efficacy showed a statistically significant difference (p = 0.031) between success rates (freehand 35.0% vs. MR-IOS 80.95%). Operator performance showed: mean total procedure time of 40.3 ± 4.4 (s) for freehand and 37.0 ± 3.7 (s) for MR-IOS (p = 0.584), needle path distances of 152.6 ± 15.0 mm for freehand and 116.9 ± 8.7 mm for MR-IOS (p = 0.074), presumed tissue damage of 7,417.2 ± 955.6 mm(2) for freehand and 6062.2 ± 678.5 mm(2) for MR-IOS (p = 0.347), and speed of insertion 5.9 ± 0.4 mm/s for freehand and 4.3 ± 0.3 mm/s for MR-IOS (p = 0.003).

CONCLUSION

The MR-IOS is compatible within a clinical MR imaging environment, accurate for needle placement, technically efficacious, and improves operator performance over the unassisted insertion technique. The MR-IOS was found to be suitable for further testing in a clinical setting.

摘要

目的

开发了一种用于 MRI 引导的肌肉骨骼介入的临床增强现实引导系统磁共振成像叠加系统(MR-IOS)。本研究旨在评估 MR-IOS 的 MRI 兼容性、系统准确性、技术功效和操作人员性能。

方法和材料

通过测量系统在各种开启/关闭状态下的信噪比(SNR)和信号强度均匀性来评估 MR-IOS 对 MR 环境的影响。通过在房间内进行临床前实验,由专家操作人员对脊柱模型进行 62 次针插入,测量进入、深度、角度和目标误差,来评估系统的准确性。在实验室中通过进行 40 名新手操作人员的实验来测试技术功效和操作人员的性能(20 名使用徒手技术,20 名使用 MR-IOS 引导),每位操作人员将 10 根针插入几何模型中。通过比较两组操作人员的针插入成功率来衡量技术功效。通过比较两组操作人员的总手术时间、总针路径距离、假定的组织损伤和单个插入的速度来评估操作人员的性能。

结果

MR-IOS 最大可改变 SNR 2%,而图像质量或均匀性没有可察觉的变化。准确性评估显示,平均进入误差为 1.6 ± 0.6mm,深度误差为 0.7 ± 0.5mm,角度误差为 1.5 ± 1.1°,目标误差为 1.9 ± 0.8mm。技术功效显示成功率(徒手 35.0% vs. MR-IOS 80.95%)之间存在统计学显著差异(p=0.031)。操作人员的性能显示:徒手操作的平均总手术时间为 40.3 ± 4.4(s),MR-IOS 为 37.0 ± 3.7(s)(p=0.584),徒手操作的针路径距离为 152.6 ± 15.0mm,MR-IOS 为 116.9 ± 8.7mm(p=0.074),徒手操作的假定组织损伤为 7417.2 ± 955.6mm2,MR-IOS 为 6062.2 ± 678.5mm2(p=0.347),插入速度为徒手操作 5.9 ± 0.4mm/s,MR-IOS 为 4.3 ± 0.3mm/s(p=0.003)。

结论

MR-IOS 在临床磁共振成像环境中具有兼容性,对针放置准确,技术功效高,并优于徒手插入技术,提高了操作人员的性能。MR-IOS 被发现适合在临床环境中进一步测试。

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