Augmented and virtual reality imaging for collaborative planning of structural cardiovascular interventions: a proof-of-concept and validation study.

IF 1.9 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Journal of Medical Imaging Pub Date : 2024-11-01 Epub Date: 2024-10-08 DOI:10.1117/1.JMI.11.6.062606

Jacquemyn Xander, Bamps Kobe, Moermans Ruben, Dubois Christophe, Rega Filip, Verbrugghe Peter, Weyn Barbara, Dymarkowski Steven, Budts Werner, Van De Bruaene Alexander

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引用次数: 0

Abstract

Purpose: Virtual reality (VR) and augmented reality (AR) have led to significant advancements in cardiac preoperative planning, shaping the world in profound ways. A noticeable gap exists in the availability of a comprehensive multi-user, multi-device mixed reality application that can be used in a multidisciplinary team meeting.

Approach: A multi-user, multi-device mixed reality application was developed, supporting AR and VR implementations. Technical validation involved a standardized testing protocol and comparison of AR and VR measurements regarding absolute error and time. Preclinical validation engaged experts in interventional cardiology, evaluating the clinical applicability prior to clinical validation. Clinical validation included patient-specific measurements for five patients in VR compared with standard computed tomography (CT) for preoperative planning. Questionnaires were used at all stages for subjective evaluation.

Results: Technical validation, including 106 size measurements, demonstrated an absolute median error of 0.69 mm (0.25 to 1.18 mm) compared with ground truth. The time to complete the entire task was $892 \pm 407 s$ on average, with VR measurements being faster than AR ( $804 \pm 483$ versus $957 \pm 257 s$ , $P = 0.045$ ). On clinical validation of five preoperative patients, there was no statistically significant difference between paired CT and VR measurements (0.58 [95% CI, $- 1.58$ to 2.74], $P = 0.586$ ). Questionnaires showcased unanimous agreement on the user-friendly nature, effectiveness, and clinical value.

Conclusions: The mixed reality application, validated through technical, preclinical, and clinical assessments, demonstrates precision and user-friendliness. Further research of our application is needed to validate the generalizability and impact on patient outcomes.

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增强和虚拟现实成像用于心血管结构干预的协作规划：概念验证和验证研究。

目的：虚拟现实（VR）和增强现实（AR）在心脏术前规划方面取得了重大进展，深刻地改变了世界。但在可用于多学科团队会议的多用户、多设备混合现实综合应用方面存在明显差距：方法：开发了一款多用户、多设备混合现实应用程序，支持 AR 和 VR 实现。技术验证包括标准化测试协议以及 AR 和 VR 测量绝对误差和时间的比较。临床前验证邀请了介入心脏病学专家参与，在临床验证之前评估临床适用性。临床验证包括将 VR 与标准计算机断层扫描（CT）进行术前规划比较，对五名患者进行特定测量。所有阶段均使用问卷进行主观评估：技术验证包括 106 次尺寸测量，与地面实况相比，绝对中位误差为 0.69 毫米（0.25 至 1.18 毫米）。完成整个任务的平均时间为 892 ± 407 秒，VR 测量比 AR 测量快（804 ± 483 秒对 957 ± 257 秒，P = 0.045）。在对五名术前患者进行临床验证时，CT 和 VR 的配对测量结果在统计学上没有显著差异（0.58 [95% CI, - 1.58 to 2.74], P = 0.586）。调查问卷显示，用户一致认同该应用的易用性、有效性和临床价值：结论：通过技术、临床前和临床评估验证的混合现实应用显示出精确性和用户友好性。需要对我们的应用进行进一步研究，以验证其通用性和对患者治疗效果的影响。

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

Journal of Medical Imaging RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-

CiteScore

4.10

自引率

4.20%

发文量

期刊介绍： JMI covers fundamental and translational research, as well as applications, focused on medical imaging, which continue to yield physical and biomedical advancements in the early detection, diagnostics, and therapy of disease as well as in the understanding of normal. The scope of JMI includes: Imaging physics, Tomographic reconstruction algorithms (such as those in CT and MRI), Image processing and deep learning, Computer-aided diagnosis and quantitative image analysis, Visualization and modeling, Picture archiving and communications systems (PACS), Image perception and observer performance, Technology assessment, Ultrasonic imaging, Image-guided procedures, Digital pathology, Biomedical applications of biomedical imaging. JMI allows for the peer-reviewed communication and archiving of scientific developments, translational and clinical applications, reviews, and recommendations for the field.