MRI-Based Elasticity Imaging
基于 MRI 的弹性成像
基本信息
- 批准号:7053020
- 负责人:
- 金额:$ 15.53万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2005
- 资助国家:美国
- 起止时间:2005-12-01 至 2010-11-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Tissue elasticity is widely held as being strongly associated with disease, especially breast malignancy given
the prominent place that physical examination holds in breast cancer screening. As a result, a sizeable
technology effort has emerged to develop and evaluate new concepts for measuring and imaging
parameters related to the mechanical characteristics of breast tissue. Project I, Magnetic Resonance
Elastography (MRE), exploits phase contrast techniques to encode induced harmonic mechanical wave
motion into phase accumulations during customized gradients to map the full displacement field in three
dimensions from which mechanical property estimates are derived at or near the MR acquisition resolution.
During the current funding period, Project I has successfully realized a robust MRE technique which has
been deployed on a limited basis during clinical breast exams to demonstrate feasibility, provide preliminary
estimates of the mechanical properties of normal breast, and highlight opportunities for extracting more
complex mechanical behaviors. The existing MRE method is ready for systematic clinical deployment and
will be used in a research plan consisting of (a) clinical evaluation, (b) continued technical advancement and
(c) histopathological correlation to begin to identify the biological signatures of mechanical property contrast.
The specific aims for continuation of Project I include (1) development of MRE driving and reconstruction
techniques to estimate viscoelastic mechanical behavior in breast tissue, (2) Optimization of image
acquisition sequences and methods to reduce exam time (3) exploration of shear modulus and viscoelastic
property correlations with histopathological analyses in mastectomy specimens where adequate tissue is
available to spatially sample and orient the imaged volume, and (4) participation in the clinical study designs
executed by the Clinical Core targeting screening abnormalities recommended for biopsy, palpable masses
on clinical breast exams and pilot exams of locally-advanced disease receiving neoadjuvant therapy. If
successful, these aims are expected to generate evidence sufficient to estimate convincingly the potential of
MRE to contribute to differential diagnosis, and pilot data in support of a role in treatment prognosis and
therapy monitoring which will inform decisions on the initiation of larger clinical trials with MRE in the future.
组织弹性被广泛认为与疾病密切相关,特别是乳腺癌,
体检在乳腺癌筛查中占有突出地位。因此,一个相当大的
已经出现了开发和评估用于测量和成像的新概念的技术努力
与乳房组织的机械特性相关的参数。项目I,磁共振
弹性成像(MRE),利用相位对比技术对诱导的谐波机械波进行编码
在定制梯度期间将运动转换为相位累积,以在三个
在MR采集分辨率或接近MR采集分辨率处从其导出机械特性估计的尺寸。
在本供资期内,项目一成功地实现了一种可靠的地雷危险教育技术,
在临床乳腺检查期间有限地部署,以证明可行性,提供初步的
正常乳房的机械性能的估计,并强调提取更多的机会
复杂的力学行为现有的MRE方法已准备好进行系统的临床部署,
将用于研究计划,包括(a)临床评价,(B)持续技术进步,
(c)组织病理学相关性开始,以确定力学性能对比的生物学特征。
继续开展项目一的具体目标包括:(1)发展地雷危险教育驱动和重建
技术来估计乳腺组织中的粘弹性力学行为,(2)图像的优化
采集序列和方法,以减少检查时间(3)探索剪切模量和粘弹性
在乳房切除术标本中,
可用于空间采样和定向成像体积,以及(4)参与临床研究设计
由临床中心执行,针对建议活检的筛查异常、可触及肿块
临床乳腺检查和接受新辅助治疗的局部晚期疾病的初步检查。如果
如果这些目标取得成功,预计将产生足够的证据,令人信服地估计
磁共振教育有助于鉴别诊断,并提供试验数据支持治疗预后,
治疗监测,这将为未来启动更大规模的MRE临床试验提供信息。
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)
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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:
$ 15.53万 - 项目类别:
Novel Techology for Early Indentification of Surgical Infections
早期识别手术感染的新技术
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9194914 - 财政年份:2016
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Spectroscopic Quantification of Ligand Binding in Vivo
体内配体结合的光谱定量
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7982603 - 财政年份:2010
- 资助金额:
$ 15.53万 - 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:
$ 15.53万 - 项目类别:
Mapping the Mechanical Properties of the Diabetic Foot
绘制糖尿病足的机械特性图
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7009235 - 财政年份:2004
- 资助金额:
$ 15.53万 - 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:
$ 15.53万 - 项目类别:
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