Development of the multimodal neuronavigation system integrating structural and functional information in combination with intra-operative ultrasound imaging.

开发结合结构和功能信息并结合术中超声成像的多模态神经导航系统。

基本信息

  • 批准号:
    18591573
  • 负责人:
  • 金额:
    $ 2.45万
  • 依托单位:
  • 依托单位国家:
    日本
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
  • 财政年份:
    2006
  • 资助国家:
    日本
  • 起止时间:
    2006 至 2007
  • 项目状态:
    已结题

项目摘要

The aims of this study were: 1) To improve the usefulness of neuronavigation system by integrating not only preoperative MRI but also three-dimensional (3-D) multimodal information of brain metabolism, brain functional mapping, and diffusion tensor imaging (DT1). 2) To develop a correction method for automatic brain shift of preoperative MRI data using intra-operative 3-D ultrasound.In this study, it was a significant result that the magnetoencephalography (MEG) mapping technique of language specific cortical areas had been established by using minimum L1 norm current estimate (MCE). When functional mapping data of MEG was compared with f-MRI, the comparable results were obtained in the determination of Broca area. Moreover, MEG was able to display a sequential activation of language specific areas other than Broca area in animation, and was more useful for an individual language field analysis.Furthermore, the integrating technique of diffusion tensor imaging (DTI) into neuronavigatio … More n system was developed. DTI was obtained using diffusion TENSOR Visualizer (Y Masutani, Tokyo University). For visualizing the pyramidal tracts, activated dusters from motor experiments provided one ROI to be traversed, together with the posterior horn of the internal capsule and the pyramid of the brain stem. The tracts were co-registered and overlaid on the contrast-enhanced T1-weighted images.In addition, the integrating technique of intra-operative ultrasound (US) images into neuronavigation system was developed. Real time evaluation of intra-operative brain shift became possible by overlaying preoperative MRI with US image on the neuronavigation monitor screen.Ten right-handed patients with left frontal brain tumors adjacent to Broca area underwent surgery using these technologies. 3-D information of the language area and the pyramidal tract were displayed on the screen of the neuronavigation system. After the craniotomy, but before opening the dura, one or more 3D ultrasound acquisitions were performed as the control US image. Tumor tissue was then removed, and additional US data were acquired for real time evaluation of brain shift. For resection control, a final US scan was acquired at the end of the operation so that complete removal of the tumor could be verified.From this study, it was shown that the multimodal neuronavigation system integrating structural and functional information in combination with intra-operative 3D US is a powerful tool for accurate, safe and efficient neurosurgical resections. Less
本研究的目的是:1)通过整合术前 MRI 以及脑代谢的三维 (3-D) 多模态信息、脑功能图和扩散张量成像 (DT1) 来提高神经导航系统的实用性。 2)开发一种使用术中3D超声对术前MRI数据进行自动脑移位的校正方法。在本研究中,一个重要的成果是利用最小L1规范电流估计(MCE)建立了语言特定皮层区域的脑磁图(MEG)映射技术。当MEG的功能图数据与f-MRI进行比较时,在确定Broca面积时获得了可比较的结果。此外,MEG能够在动画中显示除布罗卡区以外的语言特定区域的顺序激活,对于个体语言场分析更有用。此外,还开发了将扩散张量成像(DTI)集成到神经导航系统中的技术。 DTI 是使用扩散 TENSOR Visualizer(Y Masutani,东京大学)获得的。为了可视化锥体束,运动实验中激活的除尘器提供了一个要遍历的 ROI,以及内囊后角和脑干金字塔。这些束被共同配准并叠加在对比增强的T1加权图像上。此外,还开发了将术中超声(US)图像集成到神经导航系统中的技术。通过将术前 MRI 与超声图像叠加在神经导航监视器屏幕上,可以对术中脑移位进行实时评估。 10 名左利手患者,患有邻近布罗卡区的左额脑肿瘤,使用这些技术接受了手术。语言区和锥体束的 3D 信息显示在神经导航系统的屏幕上。在开颅手术之后,但在打开硬脑膜之前,进行了一个或多个 3D 超声采集作为对照 US 图像。然后去除肿瘤组织,并获取额外的美国数据以实时评估脑转移。对于切除控制,在手术结束时获得最终的超声扫描,以便验证肿瘤的完全切除。本研究表明,集成结构和功能信息的多模态神经导航系统与术中3D超声相结合是准确、安全和高效的神经外科切除的有力工具。较少的

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)
Magnetoencephalographic determination of hemispheric dominance for language specific areas with minimun L1 norm current estimate.
脑磁图确定语言特定区域的半球优势,并具有最小 L1 范数电流估计。
  • DOI:
  • 发表时间:
    2007
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Shibata;K;et. al.
  • 通讯作者:
    et. al.
Magnetoencephalographic determination of language hemispheric dominance and language specific areas with minimum L1 norm current estimate
脑磁图确定语言半球优势和语言特定区域,具有最小 L1 范数电流估计
  • DOI:
  • 发表时间:
    2007
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Shibata K;et. al.
  • 通讯作者:
    et. al.
脳腫瘍と鑑別困難な脳血管障害の画像診断
与脑肿瘤难以鉴别的脑血管疾病的影像诊断
  • DOI:
  • 发表时间:
    2006
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Sakuma I;et al.;笹島寿郎
  • 通讯作者:
    笹島寿郎
^<99m> Tc-MIBI imaging for assessment of multidrug resistance treated with the second-generation MDR1 inhibitors in malignant brain tumors
^<99m> Tc-MIBI 成像用于评估第二代 MDR1 抑制剂治疗恶性脑肿瘤的多药耐药性
  • DOI:
  • 发表时间:
    2007
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Shimada N;et. al.
  • 通讯作者:
    et. al.
Magnetoencephalographic determination of hemispheric dominance for language specific areas with minimun L1 norm current estimate
脑磁图确定语言特定区域的半球优势,具有最小 L1 范数电流估计
  • DOI:
  • 发表时间:
    2007
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Shibata K;et. al.
  • 通讯作者:
    et. al.
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MIZOI Kazuo其他文献

MIZOI Kazuo的其他文献

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{{ truncateString('MIZOI Kazuo', 18)}}的其他基金

Development of a novel multi-modal surgical navigation system with the integration of three-dimensional cerebrovascular imaging data.
开发集成三维脑血管成像数据的新型多模态手术导航系统。
  • 批准号:
    20591703
  • 财政年份:
    2008
  • 资助金额:
    $ 2.45万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Integrated analysis of language area using MEG, functional MRI and PET. -Clinical application to brain tumor surgery-
使用 MEG、功能 MRI 和 PET 进行语言区综合分析。
  • 批准号:
    14571296
  • 财政年份:
    2002
  • 资助金额:
    $ 2.45万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Experimental studies of antitumor effects ofangiogenesis inhibitor TNP-470 with a chemotherapeutic agent on a malignant brain tumor.
血管生成抑制剂TNP-470联合化疗药物对恶性脑肿瘤抗肿瘤作用的实验研究。
  • 批准号:
    12470285
  • 财政年份:
    2000
  • 资助金额:
    $ 2.45万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Development of the SQUID-CT for Functional Brain Mapping Based on a Helmet-Shaped Whole Head Magnetoencephalography System
基于头盔型全头脑磁图系统的SQUID-CT脑功能测绘开发
  • 批准号:
    06404050
  • 财政年份:
    1994
  • 资助金额:
    $ 2.45万
  • 项目类别:
    Grant-in-Aid for General Scientific Research (A)

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Radiation-free neuronavigation system for spinal tumor surgery: an intraoperative augmented reality guided surgery platform
用于脊柱肿瘤手术的无辐射神经导航系统:术中增强现实引导手术平台
  • 批准号:
    479445
  • 财政年份:
    2023
  • 资助金额:
    $ 2.45万
  • 项目类别:
    Operating Grants
Accurate, low-cost, trackerless neuronavigation for transcranial magnetic stimulation
用于经颅磁刺激的准确、低成本、无跟踪器神经导航
  • 批准号:
    10615765
  • 财政年份:
    2022
  • 资助金额:
    $ 2.45万
  • 项目类别:
Accurate, low-cost, trackerless neuronavigation for transcranial magnetic stimulation
用于经颅磁刺激的准确、低成本、无跟踪器神经导航
  • 批准号:
    10435841
  • 财政年份:
    2022
  • 资助金额:
    $ 2.45万
  • 项目类别:
Monitoring cognitive working load within auditory display systems in neuronavigation
监测神经导航听觉显示系统内的认知工作负荷
  • 批准号:
    564960-2021
  • 财政年份:
    2021
  • 资助金额:
    $ 2.45万
  • 项目类别:
    University Undergraduate Student Research Awards
Development of augmented reality neuronavigation for exoscope
外窥镜增强现实神经导航的开发
  • 批准号:
    19K09515
  • 财政年份:
    2019
  • 资助金额:
    $ 2.45万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Towards better neuronavigation in epilepsy surgery: pre-operative MRI to intra-operative CT registration
癫痫手术中更好的神经导航:术前 MRI 到术中 CT 配准
  • 批准号:
    nhmrc : GNT1162030
  • 财政年份:
    2019
  • 资助金额:
    $ 2.45万
  • 项目类别:
    Project Grants
Development of Augmented Reality based neuronavigation
基于增强现实的神经导航的发展
  • 批准号:
    19K18400
  • 财政年份:
    2019
  • 资助金额:
    $ 2.45万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Advancing Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning
利用静息态 MRI 和机器学习推进神经外科神经导航
  • 批准号:
    10685402
  • 财政年份:
    2017
  • 资助金额:
    $ 2.45万
  • 项目类别:
Funktionelle Nahinfrarotspektroskopie mit Neuronavigation
具有神经导航功能的功能性近红外光谱
  • 批准号:
    396169757
  • 财政年份:
    2017
  • 资助金额:
    $ 2.45万
  • 项目类别:
    Major Research Instrumentation
Développement d'un système de neuronavigation robotisé pour petits animaux
小动物神经导航机器人系统的开发
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    447980-2013
  • 财政年份:
    2013
  • 资助金额:
    $ 2.45万
  • 项目类别:
    Experience Awards (previously Industrial Undergraduate Student Research Awards)
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