Pressure-enhanced near-infrared breast cancer imaging
压力增强近红外乳腺癌成像
基本信息
- 批准号:7189039
- 负责人:
- 金额:$ 9.62万
- 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:2005-02-23 至 2009-01-31
- 项目状态:已结题
- 来源:
- 关键词:BiochemistryBiometryBlood VesselsBreastBreast Cancer DetectionClinical TrialsConditionCountryDataDiagnosticEngineeringEnvironmentEventFemale breastFiberGlassGoalsGraduate EducationGroup MeetingsHemoglobinHumanImageKnowledgeMammary Gland ParenchymaMeasurementMeasuresMedicalMedical centerModalityNatureNorris Cotton Cancer CenterOptical TomographyOpticsOxygenPlasticsProceduresPropertyProtocols documentationResearchResearch PersonnelResearch Project GrantsResolutionResourcesSystemTechniquesTestingTissue EngineeringTissuesTumor TissueWaterWorkbreast cancer diagnosiscancer imagingcareercollegeexperiencefield studyimprovedin vivolecturesmalignant breast neoplasmpressureresearch clinical testingresponsesymposiumtissue oxygenationtomographytooltumor
项目摘要
DESCRIPTION (provided by applicant): The candidate has worked in the optoelectronics field before changing her field of study to breast cancer optical tomography. The long-term career goal of the candidate is to be an independent researcher who has a unique set of knowledge and breadth of experience in both the Optoelectronics and biomedical fields, and can work to develop new tools for diagnostic medical applications. The immediate goal of the candidate is to develop a Near-Infrared (NIR) tomography system to have capabilities of rapidly imaging both long-term and short-term changes within the breast of total hemoglobin (HbT), oxygen saturation (StO2), water concentration, scattering power (SP) and scattering amplitude (SA). Furthermore, to establish a procedure of dynamic pressure-enhanced near-infrared breast cancer imaging by such a system. Dartmouth College has significant resources in the field of medical and engineering graduate education. Norris Cotton Cancer Center at the Dartmouth-Hitchcock Medical Center has been ranked as one of the 50 best treatment and research centers in the country. In this excellent environment, the candidate's research career will be developed by (i) taking courses in medical engineering, tissue biochemistry and biostatistics, (ii) taking part in related events, lectures, (iii) attending group meetings at the Norris Cotton Cancer Center, (iv) presenting research results at the most pertinent academic medical conferences, and (v) attending clinical evaluation and planning meetings. The research project of the candidate is to develop a dynamic pressure-enhanced NIR breast cancer imaging system with an optimized human protocol. NIR multi-spectral imaging is a unique tool for characterization of tissue composition changes in the female breast by providing images of HbT, StO2, water concentration, SP and SA. Measurement of the differences between long term and short term responses of breast tissue under different applied pressures has the capability of enhancing the contrast and resolution of breast cancer detection. This will provide a unique system for optical-elastic imaging of tissue. The overall goal of this proposal is to establish a vivo optical-elastic enhanced breast cancer detection technique to improve the contrast and resolution of breast cancer characterization. We hypothesize that normal breast tissue will deform and have strong dynamic and plastic deformation responses, whereas tumor tissue will have a lower dynamic and plastic response in comparison. The research will be carried out by 1) improving the current NIR multi-spectral system to have capabilities of imaging both long-term and short-term changes within the breast of HbT, StO2 ,water concentration, SP and SA; 2) using the improved NIR system to understand vivo long-term and short-term pressure responses of HbT, StO2, water concentration, SP and SA with respect to the breast tissue composition; and 3) to establish procedures and obtain initial data as to the optimal conditions for maximal contrast and resolution in this dynamic approach to breast cancer imaging.
描述(由申请人提供):候选人曾在光电子学领域工作,之后将研究领域改为乳腺癌光学断层扫描。候选人的长期职业目标是成为一名独立的研究人员,在光电和生物医学领域拥有独特的知识和广泛的经验,并可以开发用于诊断医学应用的新工具。该候选人的直接目标是开发一种近红外(NIR)断层扫描系统,能够快速成像乳腺内总血红蛋白(HbT)、氧饱和度(StO2)、水浓度、散射功率(SP)和散射振幅(SA)的长期和短期变化。进一步,建立该系统的动态压力增强近红外乳腺癌成像流程。达特茅斯学院在医学和工程研究生教育领域拥有重要的资源。达特茅斯-希区柯克医疗中心的诺里斯·科顿癌症中心被评为全国50个最好的治疗和研究中心之一。在这个良好的环境中,候选人的研究生涯将通过(i)学习医学工程,组织生物化学和生物统计学课程,(ii)参加相关活动,讲座,(iii)参加诺里斯棉花癌症中心的小组会议,(iv)在最相关的学术医学会议上展示研究成果,(v)参加临床评估和规划会议来发展。该候选人的研究项目是开发一种具有优化人体方案的动态压力增强近红外乳腺癌成像系统。近红外多光谱成像是表征女性乳房组织成分变化的独特工具,可提供HbT、StO2、水浓度、SP和SA的图像。测量乳腺组织在不同施加压力下的长期和短期反应的差异,能够提高乳腺癌检测的对比度和分辨率。这将为组织的光学弹性成像提供一个独特的系统。本提案的总体目标是建立一种体内光弹性增强乳腺癌检测技术,以提高乳腺癌特征的对比度和分辨率。我们假设正常乳腺组织会变形,具有较强的动态和塑性变形响应,而肿瘤组织的动态和塑性响应相对较低。研究将通过1)改进现有的近红外多光谱系统,使其具备对乳腺内HbT、StO2、水浓度、SP和SA的长期和短期变化进行成像的能力;2)利用改进的近红外系统了解HbT、StO2、水浓度、SP和SA对乳腺组织组成的体内长期和短期压力响应;3)建立程序并获得最佳条件的初始数据,以便在这种动态方法中获得最大对比度和分辨率的乳腺癌成像。
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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SHUDONG JIANG其他文献
SHUDONG JIANG的其他文献
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{{ truncateString('SHUDONG JIANG', 18)}}的其他基金
Concurrent Optical Spectroscopy and Breast MRI to Improve Diagnosis without Contrast Injection
同步光学光谱和乳腺 MRI 无需注射造影剂即可改善诊断
- 批准号:
10402775 - 财政年份:2019
- 资助金额:
$ 9.62万 - 项目类别:
Concurrent Optical Spectroscopy and Breast MRI to Improve Diagnosis without Contrast Injection
同步光学光谱和乳腺 MRI 无需注射造影剂即可改善诊断
- 批准号:
9816241 - 财政年份:2019
- 资助金额:
$ 9.62万 - 项目类别:
Monitoring Neoadjuvant Chemotherapy Responses with NIR Tomography
使用近红外断层扫描监测新辅助化疗反应
- 批准号:
9235258 - 财政年份:2014
- 资助金额:
$ 9.62万 - 项目类别:
Monitoring Neoadjuvant Chemotherapy Responses with NIR Tomography
使用近红外断层扫描监测新辅助化疗反应
- 批准号:
8696209 - 财政年份:2014
- 资助金额:
$ 9.62万 - 项目类别:
NIR Hypoxia Imaging of Breast Tumor Response to Neoadjuvant Chemotherapy in Vivo
乳腺肿瘤体内新辅助化疗反应的近红外缺氧成像
- 批准号:
7739550 - 财政年份:2009
- 资助金额:
$ 9.62万 - 项目类别:
Pressure-enhanced near-infrared breast cancer imaging
压力增强近红外乳腺癌成像
- 批准号:
6870028 - 财政年份:2005
- 资助金额:
$ 9.62万 - 项目类别:
Pressure-enhanced near-infrared breast cancer imaging
压力增强近红外乳腺癌成像
- 批准号:
7344778 - 财政年份:2005
- 资助金额:
$ 9.62万 - 项目类别:
Pressure-enhanced near-infrared breast cancer imaging
压力增强近红外乳腺癌成像
- 批准号:
7020651 - 财政年份:2005
- 资助金额:
$ 9.62万 - 项目类别:
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