MRI-Based Elasticity Imaging

基于 MRI 的弹性成像

基本信息

  • 批准号:
    6616320
  • 负责人:
  • 金额:
    $ 16.87万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2002
  • 资助国家:
    美国
  • 起止时间:
    2002-08-01 至 2003-07-31
  • 项目状态:
    已结题

项目摘要

Breast cancer is the second leading cause of death in women and, despite some questions, it is generally agreed that early detection of malignancies improves the chances of successful treatment. There is mounting evidence to suggests that tissue elasticity might be a means to detect and classify breast lesions because hardness is a property strongly associated with cancer. This rationale is underscore by the prominent place that physical examination has and continues to hold in breast cancer screening. The principle hypotheses which underpins Project I is that breast tissue elastic properties are sensitive and specific predictors of pathology. We will address five specific aims: 1) Advance our data acquisition techniques to (i) induce larger displacements in more mass of tissue, (ii) decrease the image acquisition time through improved pulse sequence designs, and (iii) acquire data using a continuous vibration mode of operation. 2) Advance our model-based image reconstruction methodology in collaboration with the Computational Core to include (i) tissue dampening, (ii) multi-valued property recovery, (iii) transient effects and (iv) overlapping zone optimization, first in two and then in three dimensions. 3) Conduct transient effects and (iv) overlapping zone optimization, first in two and then in three-dimensions. 3) Conduct extensive simulations and phantom imaging experiments under controlled conditions to identify optimal mechanical stimulation, image acquisition and property estimation options from those investigated in Aims #1 and #2. 4) Develop a clinical system to estimate the mechanical properties of both breasts in reasonable times, demonstrate its feasibility and refine procedural protocols on a limited number of volunteers. 5) Recover the mechanical properties of breast tissue on patients with normal and abnormal mammograms, first through a test phase of evaluation followed by a prospective validation study executed in collaboration with the Clinical Core. Project I pursues a synthesis of existing and novel ideas which will address many of the current problems associated with breast elasticity imaging. First, harmonic mechanical stimuli which produce compressional or dilatational displacements will be developed. Phase contrast measurements of harmonic displacement will also serve to reduce patient motion artifacts while the use of multi-spectral vibrational stimuli will afford the opportunity to account for dissipational effects. Second, model-based property reconstruction methods will be deployed to exploit the multi-dimensional displacement field gradients which can be accurately measured in three dimensions. Further, the volumetric subsurface displacement data provided by the proposed MR system provides tissue response observations that are more extensive than those typically available in the model-based image reconstruction context which is likely to translate into improved spatial and contrast resolutions relative to those which have been achieved with elasticity imaging to date.
乳腺癌是女性第二大死亡原因,尽管存在一些问题,但人们普遍认为,早期发现恶性肿瘤可以提高成功治疗的机会。越来越多的证据表明,组织弹性可能是检测和分类乳房病变的一种手段,因为硬度是与癌症密切相关的特性。体格检查在乳腺癌筛查中一直并将继续占据重要地位,强调了这一基本原理。支持项目 I 的原则假设是乳腺组织的弹性特性是病理学的敏感且特异的预测因子。我们将实现五个具体目标:1)改进我们的数据采集技术,以(i)在更多的组织中引起更大的位移,(ii)通过改进的脉冲序列设计减少图像采集时间,以及(iii)使用连续振动操作模式。 2)与计算核心合作推进我们基于模型的图像重建方法,包括(i)组织阻尼,(ii)多值属性恢复,(iii)瞬态效应和(iv)重叠区域优化,首先是两个和然后是三个维度。 3) 进行瞬态效应和 (iv) 重叠区域优化,首先是二维,然后是三维。 3) 在受控条件下进行广泛的模拟和幻像成像实验,以从目标 #1 和 #2 中研究的结果中确定最佳的机械刺激、图像采集和属性估计选项。 4) 开发一个临床系统,在合理的时间内估计两个乳房的机械特性,证明其可行性,并在有限数量的志愿者中完善程序方案。 5) 首先通过评估测试阶段,然后与临床核心合作执行前瞻性验证研究,恢复具有正常和异常乳房 X 光检查的患者乳腺组织的机械特性。项目 I 追求现有和新颖想法的综合,这将解决当前与乳房弹性成像相关的许多问题。首先,将开发产生压缩或扩张位移的谐波机械刺激。谐波位移的相衬测量也将有助于减少患者运动伪影,而多光谱振动刺激的使用将提供解释耗散效应的机会。其次,将部署基于模型的属性重建方法来开发可以在三个维度上精确测量的多维位移场梯度。此外,所提出的 MR 系统提供的体积地下位移数据提供了比基于模型的图像重建环境中通常可用的组织响应观察更广泛的组织响应观察,这可能会转化为相对于那些已被改进的空间和对比度分辨率。迄今为止通过弹性成像实现的。

项目成果

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JOHN B WEAVER其他文献

JOHN B WEAVER的其他文献

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{{ truncateString('JOHN B WEAVER', 18)}}的其他基金

Improving Treatment of Stroke: Guiding Endovascular Mechanical Thrombectomy
改善中风治疗:指导血管内机械血栓切除术
  • 批准号:
    10546005
  • 财政年份:
    2022
  • 资助金额:
    $ 16.87万
  • 项目类别:
Novel Techology for Early Indentification of Surgical Infections
早期识别手术感染的新技术
  • 批准号:
    9194914
  • 财政年份:
    2016
  • 资助金额:
    $ 16.87万
  • 项目类别:
Spectroscopic Quantification of Ligand Binding in Vivo
体内配体结合的光谱定量
  • 批准号:
    7982603
  • 财政年份:
    2010
  • 资助金额:
    $ 16.87万
  • 项目类别:
MRI-Based Elasticity Imaging
基于 MRI 的弹性成像
  • 批准号:
    7053020
  • 财政年份:
    2005
  • 资助金额:
    $ 16.87万
  • 项目类别:
Mapping the Mechanical Properties of the Diabetic Foot
绘制糖尿病足的机械特性图
  • 批准号:
    6775408
  • 财政年份:
    2004
  • 资助金额:
    $ 16.87万
  • 项目类别:
Mapping the Mechanical Properties of the Diabetic Foot
绘制糖尿病足的机械特性图
  • 批准号:
    7009235
  • 财政年份:
    2004
  • 资助金额:
    $ 16.87万
  • 项目类别:
Mapping the Mechanical Properties of the Diabetic Foot
绘制糖尿病足的机械特性图
  • 批准号:
    6873622
  • 财政年份:
    2004
  • 资助金额:
    $ 16.87万
  • 项目类别:
MRI-Based Elasticity Imaging
基于 MRI 的弹性成像
  • 批准号:
    6493956
  • 财政年份:
    2001
  • 资助金额:
    $ 16.87万
  • 项目类别:
MRI-Based Elasticity Imaging
基于 MRI 的弹性成像
  • 批准号:
    6336447
  • 财政年份:
    2000
  • 资助金额:
    $ 16.87万
  • 项目类别:
MRI-Based Elasticity Imaging
基于 MRI 的弹性成像
  • 批准号:
    6232659
  • 财政年份:
    1999
  • 资助金额:
    $ 16.87万
  • 项目类别:

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  • 批准号:
    6990304
  • 财政年份:
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  • 资助金额:
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  • 项目类别:
MRI-Based Elasticity Imaging
基于 MRI 的弹性成像
  • 批准号:
    6493956
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    $ 16.87万
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偏光显微镜的 3D 图像恢复
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    6400765
  • 财政年份:
    2001
  • 资助金额:
    $ 16.87万
  • 项目类别:
3-D Image Restoration for Polarized Light Microscopy
偏光显微镜的 3D 图像恢复
  • 批准号:
    6656953
  • 财政年份:
    2001
  • 资助金额:
    $ 16.87万
  • 项目类别:
3-D Image Restoration for Polarized Light Microscopy
偏光显微镜的 3D 图像恢复
  • 批准号:
    6526004
  • 财政年份:
    2001
  • 资助金额:
    $ 16.87万
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