Development of Transcranial Ultrasonography System for Diagnosing Brain and Brain function

经颅超声诊断脑及脑功能系统的研制

基本信息

项目摘要

Conventional transcranial sonography system can imago real-time intracranial blood flow and brain tissue non-invasively. However, skull prevents ultrasound and keeps us from disclosing a brain anatomy. The main factor is the acoustical mismatch between soft skin and the skull. The acoustic velocity in the skull is about 2800-3500 m/s whereas about 1600 m/s in soft skin. Additionally, porous layer of the skull prevents ultrasound from penetrating to intracranial tissue. Due to this, conventional sonography system is used only for neonates whose skull is not complete. However, in adults, available window of skull is restricted to the temporal bone. This limited size of the window keeps us from disclosing brain information. Any transcranial sonography system with placement free has not been developed.This research attempts to develop a intracranial tissue visualization system with placement free. By visualizing shape of an intracranial tissue from all angles, it supports to diagnose the d … More isease with high accuracy. First, we confirmed that ultrasonic wave penetrated the human frontal bone (3-6 mm) or artificial bone (12 mm). We describe our developed ultrasonography system. Ultrasound probe acquires data of an intracranial tissue in human head. The ultrasonic pulsar receiver transmits and receives ultrasonic waves via the probe. The data of ultrasonic waveform is acquired by the personal computer. The aim of this study is to divide our wave into echo of skull surface, echo of skull bottom, and the surface of brain. To solve this problem, our experiment is done on the flat region of human skull, i.e., frontal region of head. We make an anatomical model consisting of skull surface, skull bottom, and brain surface by the anatomical knowledge. In our system, after we sequentially compares a triangle fuzzy membership function with full wave of raw echo waves, we extract every target echo with maximal matching score referring to the model. We thus identify every echo by the model and the fuzzy pattern matching. Finally, we visualize the surface and bottom of the skull and the brain surface. As the result of applying it to two human heads, we could identify all echoes of skin, skull surface, skull bottom and brain surface. The shape of skull and the soft tissue in all data was obtained. Average error of the skin thickness was 0.88 mm, and the average error of distance between skin and brain surface was 2.44 mm, these values are obtained by comparing with MRI data. Less
传统的经颅超声成像系统可以对颅内血流和脑组织进行实时无创成像。然而,头骨阻止超声波,使我们无法透露大脑的解剖结构。主要因素是柔软的皮肤和头骨之间的声学不匹配。颅骨中的声速约为2800-3500m/S,而松软皮肤中的声速约为1600m/S。此外,颅骨的多孔层阻止了超声波穿透到颅内组织。正因为如此,传统的超声成像系统仅用于头骨不完整的新生儿。然而,在成年人中,可用的颅骨窗口仅限于颞骨。这个有限的窗口大小使我们无法透露大脑信息。任何一种免放置的经颅超声成像系统都没有被开发出来,本研究试图开发一种免放置的颅内组织可视化系统。通过从各个角度可视化颅内组织的形态,支持诊断d…精度更高,更方便。首先,我们证实了超声波能穿透人额骨(3-6 mm)或人工骨(12 Mm)。我们描述了我们开发的超声成像系统。超声波探头采集人体头部的颅内组织的数据。超声波脉冲星接收器通过探头发射和接收超声波。超声波波形数据由PC机采集。本研究的目的是将我们的脑电波分为颅面回声、颅底回声和脑表面回声。为了解决这一问题,我们在人类头骨的平坦区域,即头部的额部区域上进行了实验。利用解剖学知识,建立了由颅面、颅底和脑表面组成的解剖模型。在我们的系统中,我们将三角形模糊隶属度函数与原始回波的全波进行顺序比较后,参照该模型提取匹配分数最大的目标回波。因此,我们通过模型和模糊模式匹配来识别每个回波。最后,我们将头骨的表面和底部以及大脑表面可视化。将其应用于两个人的头部,可以识别出皮肤、颅骨表面、颅底和脑表面的所有回声。获得所有数据中颅骨和软组织的形状。皮肤厚度的平均误差为0.88 mm,皮肤到脑表面距离的平均误差为2.44 mm,这些值是通过与MRI数据进行比较而得到的。较少

项目成果

期刊论文数量(60)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
T.Shimizu, K.Nagamune, S.Kobashi, K.Kondo, Y.Hata, Y.T.Kitamura, T.Yanagida: "Skull and Brain Visualization by Transcranial Sonography System"Proc.of The 8th Australian and New Zealand Conference on Intelligent Information Systems. 427-432 (2003)
T.Shimizu、K.Nagamune、S.Kobashi、K.Kondo、Y.Hata、Y.T.Kitamura、T.Yanagida:“颅骨和大脑可视化经颅超声系统”Proc.of 第八届澳大利亚和新西兰智能信息会议
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K.Nagamune, S.Kobashi, K.Kondo, Y.Hata, Y.T.Kitamura, T.Yanagida: "Challenge to the Development of a Transcranial Sonography System"Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, KES2002, IOS Press. Part 1. 604-608 (200
K.Nagamune、S.Kobashi、K.Kondo、Y.Hata、Y.T.Kitamura、T.Yanagida:“经颅超声检查系统开发的挑战”基于知识的智能信息工程系统
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Y.Hata, T.Shimizu, S.Kobashi, K.Kondo, Y.T.Kitamura, T.Yanagida: "A Fuzzy Logic Approach to Transcranial Sonography System with Placement Free"Proc. 1st Int. Conf. on Information Technology & Applications. (CDROM). (2002)
Y.Hata、T.Shimizu、S.Kobashi、K.Kondo、Y.T.Kitamura、T.Yanagida:“一种无需放置的经颅超声检查系统的模糊逻辑方法”Proc。
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Tissue Elasticity Estimation from Ultrasonic Wave form Using Fuzzy Inference
使用模糊推理从超声波形式估计组织弹性
畑 豊, 清水孝, 長宗高樹, 小橋昌司, 近藤克哉, 大和一晴, 喜多村祐里, 柳田敏雄: "ファジィ論理を用いた超音波脳診断支援システムの開発"多値論理とその応用研究会技術研究報告. 47-55 (2004)
Yutaka Hata、Takashi Shimizu、Takaki Nagamune、Masashi Kobashi、Katsuya Kondo、Kazuharu Yamato、Yuri Kitamura、Toshio Yanagita:《利用模糊逻辑开发超声脑诊断支持系统》多值逻辑及其应用研究组技术研究报告。 47-55 (2004)
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HATA Yutaka其他文献

HATA Yutaka的其他文献

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{{ truncateString('HATA Yutaka', 18)}}的其他基金

An analysis to prevent human life style diseases in health check up data
健康体检数据中预防人类生活方式疾病的分析
  • 批准号:
    25240038
  • 财政年份:
    2013
  • 资助金额:
    $ 6.53万
  • 项目类别:
    Grant-in-Aid for Scientific Research (A)
Regulatory mechanism of the tumor suppressive Hippo pathway
抑癌Hippo通路的调控机制
  • 批准号:
    22590267
  • 财政年份:
    2010
  • 资助金额:
    $ 6.53万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Ultrasonic Systems for Recognizing Tissue in Bone
用于识别骨组织的超声波系统
  • 批准号:
    20390329
  • 财政年份:
    2008
  • 资助金额:
    $ 6.53万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Roles of scaffolding proteins in the formation of transportsome
支架蛋白在转运体形成中的作用
  • 批准号:
    17081008
  • 财政年份:
    2005
  • 资助金额:
    $ 6.53万
  • 项目类别:
    Grant-in-Aid for Scientific Research on Priority Areas
Studies on the ultrasonic system which can obtain biological information of soft tissues under human skull and hones
获取人体颅骨及骨下软组织生物信息的超声系统研究
  • 批准号:
    17390337
  • 财政年份:
    2005
  • 资助金额:
    $ 6.53万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Study on switching mechanisms of protein-protein interactions underlying the establishment of cell polarity
细胞极性建立背后的蛋白质-蛋白质相互作用的转换机制研究
  • 批准号:
    16390073
  • 财政年份:
    2004
  • 资助金额:
    $ 6.53万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Protein-protein interactions underlying the formation of microdomains on the cell surface
细胞表面微结构域形成的蛋白质-蛋白质相互作用
  • 批准号:
    14370042
  • 财政年份:
    2002
  • 资助金额:
    $ 6.53万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Study on molecular structures of synapses and epithelial junctions
突触和上皮连接的分子结构研究
  • 批准号:
    12470023
  • 财政年份:
    2000
  • 资助金额:
    $ 6.53万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Molecular links between vector transport machinery and cell adhesion machinery
载体运输机械和细胞粘附机械之间的分子联系
  • 批准号:
    12144203
  • 财政年份:
    2000
  • 资助金额:
    $ 6.53万
  • 项目类别:
    Grant-in-Aid for Scientific Research on Priority Areas

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Translating an MR-guided focused ultrasound system for first-in-human precision neuromodulation of pain circuits
将 MR 引导聚焦超声系统用于人体首个疼痛回路精确神经调节
  • 批准号:
    10805159
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    2023
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Vevo 3100 Ultrasound System
Vevo 3100 超声系统
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    10430868
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    2022
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    $ 6.53万
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Novel Ophthalmic Ultrasound System Development
新型眼科超声系统开发
  • 批准号:
    2744528
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    2022
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    Studentship
IMAGE-GUIDED INJECTION WITH A HIGH-RESOLUTION ULTRASOUND SYSTEM ADAPTED FOR RODENT USE
使用适合啮齿动物使用的高分辨率超声系统进行图像引导注射
  • 批准号:
    RTI-2022-00282
  • 财政年份:
    2021
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    $ 6.53万
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    Research Tools and Instruments
Focused High/Low Intensity Ultrasound System for Minimally Invasive Inside Body Bio Printing and Drug Delivery
用于微创体内生物打印和药物输送的聚焦高/低强度超声系统
  • 批准号:
    RTI-2022-00615
  • 财政年份:
    2021
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    $ 6.53万
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Ultrasound System for Transational Research
用于转化研究的超声系统
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    10177501
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    2021
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Bedside ultrasound system for 3D guidance of bone marrow aspiration and biopsy procedures
用于骨髓抽吸和活检程序的 3D 引导的床边超声系统
  • 批准号:
    10153741
  • 财政年份:
    2020
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I-POCUS: An Intelligent Point-of-Care Ultrasound System for Neonatal Intensive Care Units in Canada's Hospitals
I-POCUS:加拿大医院新生儿重症监护病房的智能护理点超声系统
  • 批准号:
    546302-2019
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    $ 6.53万
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用于骨髓抽吸和活检程序的 3D 引导的床边超声系统
  • 批准号:
    10005652
  • 财政年份:
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    $ 6.53万
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SBIR Phase II: Compact, Low-cost, Automated 3D Ultrasound System for Regular and Accessible Breast Imaging
SBIR II 期:紧凑、低成本、自动化 3D 超声系统,用于常规且易于进行的乳腺成像
  • 批准号:
    1927052
  • 财政年份:
    2019
  • 资助金额:
    $ 6.53万
  • 项目类别:
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