Effective Visualization for Image-guided Interventions
图像引导干预的有效可视化
基本信息
- 批准号:RGPIN-2014-04504
- 负责人:
- 金额:$ 2.26万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2017
- 资助国家:加拿大
- 起止时间:2017-01-01 至 2018-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Augmented reality (AR), where computed models are merged with real-world data to provide enhanced visualization of one’s surroundings, is finding use in many area from architecture, gaming, education, sports and navigation. One domain where AR has a great deal of (as yet unrealized) promise, is in medicine to guide minimally-invasive therapy or drug delivery to organs inside the body. In this application, instead of exposed targets being accessed manually during an open procedure, they are approached by means of tools placed through ports in the patient’s skin. The rationale for minimally-invasive interventions (MII) is that in many cases more trauma is caused to the patient by the access route than by the therapy itself. Recent improvements in medical imaging technology have motivated the development of minimally-invasive intervention techniques, with virtual representations of organs or targets, registered to the patient, augmenting images from an endoscopic camera, an ultrasound transducer, CT or MRI acquired prior to the procedure, or various combinations of the above. The use of virtual information to augment the intra-operative image view has been the enabling factor in these procedures. This proposal seeks to develop and demonstrate appropriate AR strategies that are intuitive to use and that will enable new minimally-invasive approaches to be realized in a manner that is intuitive and acceptable to the user. AR, Virtual Reality (VR), and Augmented Virtuality (AV) where a virtual model is fused with additional data that may not directly re-create a realistic visual environment, have all played a part assisting interventional procedures but have not become part of mainstream surgery. The aim of this research is to demonstrate that the use of VR/AR/AV techniques, appropriately employed in an intuitive user interface, significantly lowers the cognitive load of the user, and significantly increases operator performance for minimally-invasive procedures. These ideas are described here for three representative projects, including Laparoscopic surgery, Cardiac surgery and Neurosurgery, among the spectrum of ongoing lab activities.
增强现实技术(AR)将计算模型与真实世界的数据相结合,以增强对周围环境的可视化,在建筑、游戏、教育、体育和导航等许多领域都有应用。增强现实在医学上有很大的前景(尚未实现),它可以引导微创治疗或将药物输送到体内器官。在此应用中,在开放手术过程中,不是手动访问暴露的目标,而是通过通过患者皮肤中的端口放置的工具接近目标。微创干预(MII)的基本原理是,在许多情况下,接触途径比治疗本身对患者造成的创伤更大。医学成像技术的最新进步推动了微创介入技术的发展,包括器官或目标的虚拟表示,注册到患者身上,增强内窥镜相机、超声换能器、手术前获得的CT或MRI图像,或上述技术的各种组合。使用虚拟信息来增强术中图像视图是这些手术的有利因素。本提案旨在开发和演示适当的AR策略,这些策略直观易用,并将使新的微创方法能够以直观和用户可接受的方式实现。AR,虚拟现实(VR)和增强虚拟现实(AV),其中虚拟模型与可能无法直接重建现实视觉环境的附加数据融合在一起,都在辅助介入手术中发挥了作用,但尚未成为主流手术的一部分。本研究的目的是证明,在直观的用户界面中适当使用VR/AR/AV技术,可以显著降低用户的认知负荷,并显著提高微创手术的操作性能。这些想法在这里描述了三个代表性的项目,包括腹腔镜手术,心脏手术和神经外科,在正在进行的实验室活动的频谱。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Peters, Terence其他文献
Inhibitory Influence of Protease-Activated Receptor 2 and E-Prostanoid Receptor Stimulants in Lipopolysaccharide Models of Acute Airway Inflammation
- DOI:
10.1124/jpet.109.163253 - 发表时间:
2010-11-01 - 期刊:
- 影响因子:3.5
- 作者:
Peters, Terence;Mann, Tracy S.;Henry, Peter J. - 通讯作者:
Henry, Peter J.
Peters, Terence的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Peters, Terence', 18)}}的其他基金
Development and Evaluation of Hybrid Virtual Reality Simulators for Clinical Training
用于临床培训的混合虚拟现实模拟器的开发和评估
- 批准号:
RGPIN-2020-04493 - 财政年份:2022
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
Development and Evaluation of Hybrid Virtual Reality Simulators for Clinical Training
用于临床培训的混合虚拟现实模拟器的开发和评估
- 批准号:
RGPIN-2020-04493 - 财政年份:2021
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
Development and Evaluation of Hybrid Virtual Reality Simulators for Clinical Training
用于临床培训的混合虚拟现实模拟器的开发和评估
- 批准号:
RGPIN-2020-04493 - 财政年份:2020
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
Effective Visualization for Image-guided Interventions
图像引导干预的有效可视化
- 批准号:
RGPIN-2014-04504 - 财政年份:2018
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
Effective Visualization for Image-guided Interventions
图像引导干预的有效可视化
- 批准号:
RGPIN-2014-04504 - 财政年份:2016
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
Effective Visualization for Image-guided Interventions
图像引导干预的有效可视化
- 批准号:
RGPIN-2014-04504 - 财政年份:2015
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
Human factors and accuracy evaluation of neurosurgical planning and navigation systems
神经外科规划和导航系统的人为因素和准确性评估
- 批准号:
468238-2014 - 财政年份:2014
- 资助金额:
$ 2.26万 - 项目类别:
Engage Grants Program
Effective Visualization for Image-guided Interventions
图像引导干预的有效可视化
- 批准号:
RGPIN-2014-04504 - 财政年份:2014
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
Augmented reality display systems for minimally-invasive surgery
用于微创手术的增强现实显示系统
- 批准号:
155058-2007 - 财政年份:2013
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
Towards safer laparoscopic procedures
迈向更安全的腹腔镜手术
- 批准号:
418104-2011 - 财政年份:2011
- 资助金额:
$ 2.26万 - 项目类别:
Engage Grants Program
相似海外基金
Development of an Image Sensor System Capable of Simultaneous Visualization of Shear Stress and Extracellular Chemicals for Mechanobiology
开发能够同时可视化剪切应力和细胞外化学物质的图像传感器系统,用于机械生物学
- 批准号:
23H00182 - 财政年份:2023
- 资助金额:
$ 2.26万 - 项目类别:
Grant-in-Aid for Scientific Research (A)
Enhanced tumour localization, visualization, resection and radiotherapy in computer-aided surgery: Assisting surgeons via robotics and augmented-reality image-overlay technologies
增强计算机辅助手术中的肿瘤定位、可视化、切除和放射治疗:通过机器人和增强现实图像叠加技术协助外科医生
- 批准号:
571022-2021 - 财政年份:2022
- 资助金额:
$ 2.26万 - 项目类别:
Alliance Grants
Echocardiography image processing and visualization for heart valve interventions
心脏瓣膜干预的超声心动图图像处理和可视化
- 批准号:
559943-2021 - 财政年份:2022
- 资助金额:
$ 2.26万 - 项目类别:
Postgraduate Scholarships - Doctoral
Excellence in Research: PathoRadi ‒ an interactive web server for AI-assisted radiologic-pathologic image analysis, correlation and visualization
卓越研究:PathoRadi — 用于人工智能辅助放射病理图像分析、关联和可视化的交互式网络服务器
- 批准号:
2200585 - 财政年份:2022
- 资助金额:
$ 2.26万 - 项目类别:
Standard Grant
Echocardiography image processing and visualization for heart valve interventions
心脏瓣膜干预的超声心动图图像处理和可视化
- 批准号:
559943-2021 - 财政年份:2021
- 资助金额:
$ 2.26万 - 项目类别:
Postgraduate Scholarships - Doctoral
Enhanced tumour localization, visualization, resection and radiotherapy in computer-aided surgery: Assisting surgeons via robotics and augmented-reality image-overlay technologies
增强计算机辅助手术中的肿瘤定位、可视化、切除和放射治疗:通过机器人和增强现实图像叠加技术协助外科医生
- 批准号:
571022-2021 - 财政年份:2021
- 资助金额:
$ 2.26万 - 项目类别:
Alliance Grants
Visualization of mental template as a high-quality natural image using deep learning and reverse correlation method
使用深度学习和逆相关方法将心理模板可视化为高质量自然图像
- 批准号:
20K12025 - 财政年份:2020
- 资助金额:
$ 2.26万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Developing and assessing the effect of a pelvic floor muscle training video featuring visualization enabled by image engineering techniques
开发和评估通过图像工程技术实现可视化的盆底肌肉训练视频的效果
- 批准号:
20K12735 - 财政年份:2020
- 资助金额:
$ 2.26万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
IOPSxV: Novel Visualization for Non-Fluoroscopic 3D Image Guidance for Peripheral Vascular Interventions.
IOPSxV:用于外周血管干预的非透视 3D 图像指导的新型可视化。
- 批准号:
9908555 - 财政年份:2020
- 资助金额:
$ 2.26万 - 项目类别:
Effective Visualization for Image-guided Interventions
图像引导干预的有效可视化
- 批准号:
RGPIN-2014-04504 - 财政年份:2018
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual