Automated modeling, quantification, and uncertainty evaluation of branching tubular and sheet structures from 3D medical images

根据 3D 医学图像对分支管状和片状结构进行自动建模、量化和不确定性评估

基本信息

  • 批准号:
    15300059
  • 负责人:
  • 金额:
    $ 9.34万
  • 依托单位:
  • 依托单位国家:
    日本
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
  • 财政年份:
    2003
  • 资助国家:
    日本
  • 起止时间:
    2003 至 2005
  • 项目状态:
    已结题

项目摘要

Accurate quantification incorporating imaging conditions and uncertainty analysisThe measurement error of the sheet width due to limited resolution of the imaging processes and blurring involved in edge detection was theoretically analyzed. Measuring the thickness of sheet-like (or plate-like) anatomical structures, such as articular cartilages and brain cortex, in 3D magnetic resonance (MR) images is often an important diagnostic procedure. The purpose of this paper is to investigate the fundamental limits to the accuracy of thickness determination in MR images. Given imaging and postprocessing parameters, the characteristics of thickness determination accuracy are derived by means of a theoretical simulation method, focusing especially on the effect of sheet structure orientation on accuracy in the case of noncubic (anisotropic) voxels. The theoretical simulation was validated by in vitro experiments.The effects of the PSF were incorporated into the width measurement procedure by for … More mulating it by an inverse problem. A method fully utilizes multiscale line filter responses to estimate the PSF of a scanner and diameters of small tubular structures based on the PSF. The estimation problem is formulated as a least square fitting of a sequence of multiscale responses obtained at each medial axis point to the precomputed multiscale response curve for the ideal line model. The method was validated through phantom experiments and demonstrated to `accurately measure small-diameter structures which are significantly overestimated by conventional methods based on the full width half maximum (FWHM) and zero-crossing edge detection.Extraction of branching tubular structuresWe develop a branch detector using multi-orientation analysis, which is especially effective for peripheral vessels under low contrast conditions. We integrate the proposed branch detector into a hybrid vessel tracking system, which adaptively selects two different mechanisms of branch detectors based on contrast evaluations by analyzing local intensity distribution. The proposed branch detector is used in low contrast case while a conventional method based on region growing in high contrast case. The hybrid tracking system copes with both of the stability in high contrast case and the robustness in low contrast case. The proposed method was shown to be effective through ROC analysis using abdominal CT data sets. We also showed that the proposed method could extract 90% of hepatic arteries observable by a radiologist in the cross-sectional images using 19 abdominal CT data sets. Less
结合成像条件和不确定度分析的精确定量从理论上分析了由于成像过程的分辨率有限和边缘检测中的模糊所导致的片宽测量误差。在三维磁共振(MR)图像中测量片状(或板状)解剖结构(如关节软骨和脑皮层)的厚度通常是一项重要的诊断程序。本文的目的是研究在磁共振图像厚度测定精度的基本限制。在给定成像和后处理参数的情况下,通过理论模拟方法推导了厚度确定精度的特征,重点研究了非立方(各向异性)体素情况下薄片结构方向对厚度确定精度的影响。体外实验验证了理论模拟的正确性。通过反问题的模拟,将脉冲效应的影响纳入宽度测量过程中。一种充分利用多尺度线滤波响应来估计扫描仪的PSF和基于PSF的小管状结构直径的方法。估计问题是将在每个中轴线点处获得的一系列多尺度响应与预先计算的理想直线模型的多尺度响应曲线进行最小二乘拟合。通过仿真实验验证了该方法的有效性,并证明了该方法能够准确测量基于全宽半最大值(FWHM)和过零边缘检测的传统方法明显高估的小直径结构。分支管状结构的提取我们开发了一种采用多向分析的分支检测器,它在低对比度条件下对周围血管特别有效。我们将所提出的分支检测器集成到混合船舶跟踪系统中,该系统通过分析局部强度分布,基于对比评估自适应选择两种不同机制的分支检测器。该方法适用于低对比度情况,而传统的基于区域生长的方法适用于高对比度情况。混合跟踪系统要兼顾高对比度下的稳定性和低对比度下的鲁棒性。通过腹部CT数据集的ROC分析,证明了该方法的有效性。我们还表明,所提出的方法可以在19个腹部CT数据集的横断面图像中提取出放射科医生可观察到的90%的肝动脉。少

项目成果

期刊论文数量(24)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
MR画像における近接した2薄面体の厚み計測精度の解析,
MR图像中相邻二面体厚度测量精度分析,
Quantitative analysis of alveolar structures using high-resol ution 3D-CT data
使用高分辨率 3D-CT 数据定量分析肺泡结构
Accurate quantification of small-diameter tubular structures in isotropic CT volume data based on multiscale line filter responses
基于多尺度线滤波器响应的各向同性 CT 体积数据中小直径管状结构的精确量化
Limits on the accuracy of 3-D thickness measurement in magnetic resonance images - Effects of voxel anisotropy
Hessian-based multiscale enhancement, description, and quantification of second-order 3D local structures from medical volume data
基于 Hessian 的医疗体积数据二阶 3D 局部结构的多尺度增强、描述和量化
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SATO Yoshinobu其他文献

「地域の共同力が支える農林水産業」第11章 21世紀の農学:持続可能性への挑戦
《地方协同力量支持的农林渔业》第11章21世纪的农业:可持续发展的挑战
  • DOI:
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    NOHARA Daisuke;SATO Yoshinobu;SUMI Tetsuya;松田展也,森丈久;荘林幹太郎;生源寺奨一編
  • 通讯作者:
    生源寺奨一編
気候変動が森林内の積雪・融雪、および、扇状地の地下水に及ぼす影響
气候变化对森林积雪和融雪以及冲积扇地下水的影响
農業用水路用シーリング材の水中耐久性評価
农业水道密封材料水下耐久性评价
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    NOHARA Daisuke;SATO Yoshinobu;SUMI Tetsuya;松田展也,森丈久
  • 通讯作者:
    松田展也,森丈久
A FUNDAMENTAL STUDY ON CLIMATE CHANGE IMPACT ON SEASONAL RESERVOIR OPERATION IN HEAVY SNOWFALL AREA USING 150-YEAR CONTINUOUS CLIMATE EXPERIMENT
基于150年连续气候实验的气候变化对大雪区季节性水库运行影响的基础研究
農業と地域活性化:地域から活性化を考える(学習院女子大編「地域活性化とSDGsへの道標」4章)
农业与地区振兴:从地区角度思考振兴(学习院女子大学主编《地区振兴与SDGs指南》第4章)
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    NOHARA Daisuke;SATO Yoshinobu;SUMI Tetsuya;松田展也,森丈久;荘林幹太郎
  • 通讯作者:
    荘林幹太郎

SATO Yoshinobu的其他文献

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{{ truncateString('SATO Yoshinobu', 18)}}的其他基金

Decision support for total hip arthroplasty surgery by integration of deep learning, simulations, and statistical models
通过集成深度学习、模拟和统计模型为全髋关节置换手术提供决策支持
  • 批准号:
    19H01176
  • 财政年份:
    2019
  • 资助金额:
    $ 9.34万
  • 项目类别:
    Grant-in-Aid for Scientific Research (A)
A Study on Omotenashi from the Standpoint of Value Co-creation: Clarifying the Process from the Origin to the Modern Phenomena
价值共创视角下的待客之道研究:厘清从起源到现代现象的过程
  • 批准号:
    16K03968
  • 财政年份:
    2016
  • 资助金额:
    $ 9.34万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
The research of mechanisms between shear stress and caveola in the liver regeneration and liver injury
剪切应力和小凹在肝再生和肝损伤中的机制研究
  • 批准号:
    24659601
  • 财政年份:
    2012
  • 资助金额:
    $ 9.34万
  • 项目类别:
    Grant-in-Aid for Challenging Exploratory Research
Atlas-based automated segmentation and anatomical identification of tubular and sheet structures from 3D medical images
基于图集的 3D 医学图像管状和片状结构的自动分割和解剖识别
  • 批准号:
    21300068
  • 财政年份:
    2009
  • 资助金额:
    $ 9.34万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Developing an Education Program for Becoming an Effective Action Researcher
制定成为一名有效的行动研究员的教育计划
  • 批准号:
    21530428
  • 财政年份:
    2009
  • 资助金额:
    $ 9.34万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Development of New Strategy of Immunological Tolerance Inductionby Intraportal administration of donor specific Mesenchymal hepatic stem cell in OrganTransplantation
器官移植中供体特异性间充质肝干细胞门静脉注射诱导免疫耐受新策略的开发
  • 批准号:
    21390356
  • 财政年份:
    2009
  • 资助金额:
    $ 9.34万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Accurate recovery of line and sheet structures in 3D medical images based on multiscale local structure analysis and its advanced applications
基于多尺度局部结构分析的3D医学图像中线片结构的精确恢复及其高级应用
  • 批准号:
    18300059
  • 财政年份:
    2006
  • 资助金额:
    $ 9.34万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Development of new immunosuppression by intra-portal administration of donor specific miss-match antigen in pancreas transplantation
在胰腺移植中通过门静脉内施用供者特异性错配抗原开发新的免疫抑制
  • 批准号:
    17390346
  • 财政年份:
    2005
  • 资助金额:
    $ 9.34万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
The new strategy of treatment for unresectable hepatocellular carcinoma in living related donor liver transplantation
活体肝移植治疗不可切除性肝癌的新策略
  • 批准号:
    13557099
  • 财政年份:
    2001
  • 资助金额:
    $ 9.34万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Complete Withdraw from Immunosuppressants by Intraportal Administration of Donor Blood in Living-Related Liver Transplantation
活体相关肝移植中通过门静脉注射供血完全停用免疫抑制剂
  • 批准号:
    12671147
  • 财政年份:
    2000
  • 资助金额:
    $ 9.34万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
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