globalchange  > 影响、适应和脆弱性
项目编号: 1351992
项目名称:
CAREER: Quantitative Imaging of Tissue Oxygenation
作者: Vikram Kodibagkar
承担单位: Arizona State University
批准年: 2013
开始日期: 2014-04-15
结束日期: 2019-03-31
资助金额: USD440000
资助来源: US-NSF
项目类别: Continuing grant
国家: US
语种: 英语
特色学科分类: Engineering - Chemical, Bioengineering, Environmental, and Transport Systems
英文关键词: tissue oxygenation ; development ; mri-based oxygen imaging probe ; magnetic resonance imaging ; tunable oxygenation ; imaging technology ; theoretical model ; mri-compatible tissue ; capability ; cancer ; tissue function ; medical imaging
英文摘要: PI: Kodibagkar, Vikram
Proposal Number: 1351992

Oxygen is the most important nutrient for life and its deficiency can cause loss of cell viability and organ function. Additionally, oxygen is challenging to deliver in vivo due to its low solubility in water. Therefore, the opportunity to assess hypoxia non-invasively may be significant in understanding mechanisms of tissue function and in clinical prognosis of various diseases, such as cancer and stroke. The overall goal of this proposal is to develop and use quantitative methods employing Magnetic Resonance Imaging (MRI) to measure, non-invasively, oxygen levels in vivo. Besides advancing our fundamental understanding of tissue oxygenation under different physiologic conditions, this capability could also directly impact the development, screening and use of novel therapeutic agents that target hypoxia either for promoting it, as would be desirable with cancer, or for alleviating it, as would be the case in myocardial infarction and stroke. Findings could impact future patients by aiding the design and development of personalized therapy for cancer and by improving how radiotherapy is planned and delivered in the clinic. Educational activities integrate research with education at three different levels (high-school, undergraduate, and graduate), and multiple organizations (ASU, local high schools and foreign universities). A Hands-on Summer Program in Imaging Technology (HoSPIT) will increase awareness in the capabilities and limitations of Medical Imaging and will prepare students for the next steps in their educational paths and towards professional employment.

Two approaches will be investigated. The first is based on the binding of an MRI contrast agent in regions that are deficient in oxygen; and the second relies on the change in the MRI properties of a nanoprobe depending on the surrounding oxygen levels. In both cases, a comprehensive pharmacokinetic framework will be used to describe the delivery and distribution of the reporter probe and to relate the observed MRI parameters to tissue oxygenation. Three specific objectives will be pursued: the development of a theoretical model for systemic delivery of MRI-based oxygen imaging probes for dynamic measurement of tissue oxygenation and related parameters; the design and construction of an MRI-compatible tissue simulating phantom with tunable oxygenation and metabolic status for in vitro testing of the theoretical model; and the application of theoretical model for measurement of tissue oxygenation and related parameters to in vivo data. The proposed work is expected to advance the capability of developing three-dimensional images of tissue oxygenation in high resolution under both physiological and pathological conditions and under various pharmacological interventions.
资源类型: 项目
标识符: http://119.78.100.158/handle/2HF3EXSE/97075
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

Files in This Item:

There are no files associated with this item.


Recommended Citation:
Vikram Kodibagkar. CAREER: Quantitative Imaging of Tissue Oxygenation. 2013-01-01.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Vikram Kodibagkar]'s Articles
百度学术
Similar articles in Baidu Scholar
[Vikram Kodibagkar]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Vikram Kodibagkar]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.