IN VIVO ULTRASONIC MICROPROBE FOR TUMOR DIAGNOSIS
IN VIVO ULTRASONIC MICROPROBE FOR TUMOR DIAGNOSIS
批准号:
2710688
负责人:
William D. O'Brien
金额:
$12.59万
依托单位国家:
美国
项目类别:
财政年份:
1998
资助国家:
美国
项目状态:
已结题
起止时间:
1998-07-01 至 2000-06-30
关键词:
biomedical equipment development cell component structure /function clinical biomedical equipment diagnosis design /evaluation histopathology image processing imaging /visualization /scanning interdisciplinary collaboration laboratory mouse laboratory rat neoplasm /cancer diagnosis neoplastic cell noninvasive diagnosis
中文摘要
这一为期两年的倡议的目标是为
用于固体的原位临床诊断的全新技术
期望快速准确地检测和诊断肿瘤
癌症。研究方法是跨学科的(声学和
电气工程师,图像和信号处理器,材料科学家,
委员会认证的兽医病理学家)。考虑到患者的重要性
获得高度准确和及时诊断的保健管理
以及相关的困难、处理时间和风险
通过手术和抽吸活检,
对肿瘤的原位评估在医学上是非常有益的
和成本效益。
这项为期两年的倡议的具体目标是:(1)确定
分化的组织和细胞的超声图像特征
来自选定肿瘤的正常组织的细胞结构特征
使用完善的非侵入性脉冲回波数据采集
方案和高清晰度图像形成技术适用于
侵入性体内超声微探针几何形状,(3)构建和
使用两个单独的超声微探针评估侵入性体内超声微探针
构造方法,以及(4)识别超声图像特征,
组织和细胞分化正常的细胞结构特征,
使用侵入性体内
超声波微探针光镜组织病理学评价
由委员会认证的兽医病理学家将相同的组织
作为黄金标准。
提出了三种类型的超声数据采集,即,不表示
使用商用换能器的侵入式;使用现有的侵入式微探针,
市售材料;和侵入性微探针使用新的
开发材料。常规B型和C型成像技术
将进行调查。此外,还提出了自适应信号
合成孔径雷达(SAR)成像处理技术
技术.此外,图像形成和增强方法将进行测试
并基于成熟的统计模型在刺激数据上进行验证
的超声成像处理,采用增强版的
标准的充分发展的散斑模型。
英文摘要
The objective of this two-year initiative is to develop the basis for a
fundamentally new technology for an in situ clinical diagnosis of solid
tumors with the expectation of rapid and accurate detection and diagnosis
of cancer. The research approach is interdisciplinary (acoustic and
electrical engineers, image and signal processor, material scientists, and
board-certified veterinary pathologist). Given the important in patient
health-care management of obtaining a highly accurate and timely diagnosis
of a tumor and the difficulties, processing time, and risks associated
with surgical and aspirational biopsies, a technique which would permit
the evaluation of tumors in situ would be enormously beneficial medically
and cost effective.
The specific aims of this two-year initiative are: (1) to identify
ultrasonic image features of tissues and cells that differentiate
cytoarchitectural features of normal tissues from selected neoplastic
tissues using well-established non-invasive pulse-echo data acquisition
schemes and high-definition image formation techniques applicable for the
invasive in vivo ultrasonic microprobe geometry, (3) to construct and
evaluate invasive in vivo ultrasonic microprobes using two separate
construction approaches, and (4) to identify ultrasonic image features of
tissues and cells that differentiate cytoarchitectural features of normal
tissues from selected neoplastic tissues using the invasive in vivo
ultrasonic microprobes. Light microscopic histopathologic evaluation of
the identical tissues by a board-certified veterinary pathologist will be
used as the gold standard.
Three categories of ultrasonic data acquisition are proposed, viz., non-
invasive using commercial transducers; invasive microprobe using existing,
commercially available materials; and invasive microprobe using newly
developed materials. Conventional B-mode and C-mode imaging techniques
will be investigated. In addition, it is proposed to adapt signal
processing techniques from synthetic aperture radar (SAR) imaging
techniques. Also, image formation and enhancement methods will be tested
and verified on stimulate data based on a full-fledged statistical model
of the ultrasound imaging processing, adopting an enhanced version of the
standard fully-developed-speckle model.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Tumor Detection and Classification using QUS Technology's Structure Function
-
批准号:10381481
-
项目类别:
-
资助金额:$46.74万
-
财政年份:2019
-
负责人:William D. O'Brien
-
依托单位:
Tumor Detection and Classification using QUS Technology's Structure Function
-
批准号:9912736
-
项目类别:
-
资助金额:$48.06万
-
财政年份:2019
-
负责人:William D. O'Brien
-
依托单位:
Tumor Detection and Classification using QUS Technology's Structure Function
-
批准号:10592340
-
项目类别:
-
资助金额:$44.26万
-
财政年份:2019
-
负责人:William D. O'Brien
-
依托单位:
High-Resolution In Vivo Ultrasound Imaging Using VisualSonics VEVO 2100 System
-
批准号:7793999
-
项目类别:
-
资助金额:$47.95万
-
财政年份:2009
-
负责人:William D. O'Brien
-
依托单位:
Quantitative Ultrasonic Imaging of the Breast
-
批准号:7908556
-
项目类别:
-
资助金额:$39.85万
-
财政年份:2009
-
负责人:William D. O'Brien
-
依托单位:
Quantitative Ultrasonic Imaging of the Breast
-
批准号:7857961
-
项目类别:
-
资助金额:$91.59万
-
财政年份:2007
-
负责人:William D. O'Brien
-
依托单位:
Quantitative Ultrasonic Imaging of the Breast
-
批准号:8097415
-
项目类别:
-
资助金额:$85.46万
-
财政年份:2007
-
负责人:William D. O'Brien
-
依托单位:
Quantitative Ultrasonic Imaging of the Breast
-
批准号:7616790
-
项目类别:
-
资助金额:$92.34万
-
财政年份:2007
-
负责人:William D. O'Brien
-
依托单位:
Quantitative Ultrasonic Imaging of the Breast
-
批准号:7236363
-
项目类别:
-
资助金额:$97.58万
-
财政年份:2007
-
负责人:William D. O'Brien
-
依托单位:
Quantitative Ultrasonic Imaging of the Breast
-
批准号:7450882
-
项目类别:
-
资助金额:$91.34万
-
财政年份:2007
-
负责人:William D. O'Brien
-
依托单位:
IN VIVO ULTRASONIC MICROPROBE FOR TUMOR DIAGNOSIS
-
批准号:2896715
-
项目类别:
-
资助金额:$12.29万
-
财政年份:1998
-
负责人:William D. O'Brien
-
依托单位:
ULTRASOUND INDUCED LUNG DAMAGE ASSESSMENT
-
批准号:2471567
-
项目类别:
-
资助金额:$42.72万
-
财政年份:1997
-
负责人:William D. O'Brien
-
依托单位:
ULTRASOUND-INDUCED LUNG DAMAGE ASSESSMENT
-
批准号:6737501
-
项目类别:
-
资助金额:$74.79万
-
财政年份:1997
-
负责人:William D. O'Brien
-
依托单位:
Ultrasound-induced tissue damage assessment
-
批准号:8238305
-
项目类别:
-
资助金额:$61.06万
-
财政年份:1997
-
负责人:William D. O'Brien
-
依托单位:
Ultrasound-induced tissue damage assessment
-
批准号:7227126
-
项目类别:
-
资助金额:$61.08万
-
财政年份:1997
-
负责人:William D. O'Brien
-
依托单位:
Ultrasound-induced tissue damage assessment
-
批准号:7317783
-
项目类别:
-
资助金额:$5.85万
-
财政年份:1997
-
负责人:William D. O'Brien
-
依托单位:
Ultrasound-induced tissue damage assessment
-
批准号:7379949
-
项目类别:
-
资助金额:$61.14万
-
财政年份:1997
-
负责人:William D. O'Brien
-
依托单位:
ULTRASOUND-INDUCED LUNG DAMAGE ASSESSMENT
-
批准号:6693137
-
项目类别:
-
资助金额:$1.36万
-
财政年份:1997
-
负责人:William D. O'Brien
-
依托单位:
ULTRASOUND INDUCED LUNG DAMAGE ASSESSMENT
-
批准号:2839079
-
项目类别:
-
资助金额:$56.27万
-
财政年份:1997
-
负责人:William D. O'Brien
-
依托单位:
Ultrasound-induced tissue damage assessment
-
批准号:7588887
-
项目类别:
-
资助金额:$54.92万
-
财政年份:1997
-
负责人:William D. O'Brien
-
依托单位: