In vivo Amyloid-Beta Imaging in Mouse Brain Using Stochastic Object Models

使用随机对象模型对小鼠大脑进行体内β-淀粉样蛋白成像

• 批准号: 9248782
• 负责人: Sepideh Shokouhi
• 金额: $ 12.18万
• 依托单位: VANDERBILT UNIVERSITY MEDICAL CENTER
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-02-01 至 2018-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9248782
• 关键词: Age; Algorithms; Alzheimer' s Disease; Amyloid beta-Protein; Animal Model; Animals; Brain; Brain region; Characteristics; Classification; Computational algorithm; Computing Methodologies; Data; Detection; Diagnosis; Disease; Evaluation; Goals; Human; Image; In Vitro; Measures; Methods; Modeling; Monitor; Monte Carlo Method; Mus; Nuclear; Pathology; Pattern Recognition; Phase; Positron-Emission Tomography; Procedures; Process; Research; Resolution; Sampling; Scanning; Senile Plaques; Signal Transduction; Structure; Techniques; Therapeutic; Tracer; Training; Transgenic Mice; Transgenic Organisms; Translating; Variant; animal imaging; drug testing; experience; image reconstruction; imaging modality; imaging system; improved; in vivo; in vivo imaging; instrumentation; molecular imaging; novel; pre-clinical; radiotracer; reconstruction; single photon emission computed tomography; skills; tool

The overall goal of the proposed research is-to develop novel in vivo imaging methods for A(3 plaque detection and classification in transgenic mice using positron emission tomography (PET). The reduction of amyloid beta plaques is among the main therapeutic objectives for the treatment of Alzheimer's disease (AD). Ap imaging with PET has now entered the realm of the revised criteria for diagnosis of AD. In vivo imaging of Ap in mouse brain would facilitate the study of the AD pathology and testing of drugs that could stop or decelerate the disease progress. However, the heterogeneous microstructure of the plaques makes an in vivo approach to detecting and quantifying the plaque burden challenging due to insufficient resolution. Also, current image reconstruction techniques are not well adapted to the reconstruction of heterogeneous microstructures. The candidate is proposing a method that takes advantage of a stochastic object model of AP to improve in vivo imaging. The parameters of this model are sampled from distributions that contain information about the size and number of plaques in different brain regions as well as their variations among animals and changes overtime. These parameters are obtained from in vitro data using advanced stereological analysis methods. The stochastic object model will be incorporated into an optimization method, such as simulated annealing. The objective of this process is to search for a random realization of the object model that provides the best fit between the estimated and the measured data from the imaging system by minimizing a target function. The candidate's training in the K99 phase has provided the required skills to establish herself in this interdisciplinary field. It is also a logical extension of her past experience in PET/SPECT instrumentation and image reconstruction. The specific aims of the ROO phase outline studies to explore the feasibility of this technique with animal scans. The candidate's long-term goal is to develop signal detection and pattern recognition tools to overcome the practical limitations of iri vivo imaging systems while maintaining her focus on their implementation in AD research.

拟议研究的总体目标是开发新的A(3)斑块体内成像方法

项目成果

A new data analysis approach for measuring longitudinal changes of metabolism in cognitively normal elderly adults.

一种新的数据分析方法，用于测量认知正常老年人代谢的纵向变化。

• DOI: 10.2147/cia.s150859
• 发表时间: 2017
• 期刊: Clinical interventions in aging
• 影响因子: 3.6
• 作者: Shokouhi,Sepideh;Riddle,WilliamR;Kang,Hakmook
• 通讯作者: Kang,Hakmook

Imaging Brain Metabolism and Pathology in Alzheimer's Disease with Positron Emission Tomography.

使用正电子发射断层扫描对阿尔茨海默病的脑代谢和病理学进行成像。

• DOI: 10.4172/2161-0460.1000143
• 发表时间: 2014
• 期刊: Journal of Alzheimer's disease & Parkinsonism
• 作者: Shokouhi,S;Claassen,D;Riddle,Wr
• 通讯作者: Riddle,Wr

Modeling clustered activity increase in amyloid-beta positron emission tomographic images with statistical descriptors.

使用统计描述符对淀粉样蛋白-β 正电子发射断层扫描图像中的聚集活性增加进行建模。

• DOI: 10.2147/cia.s82128
• 发表时间: 2015
• 期刊: Clinical interventions in aging
• 影响因子: 3.6
• 作者: Shokouhi,Sepideh;Rogers,BaxterP;Kang,Hakmook;Ding,Zhaohua;Claassen,DanielO;Mckay,JohnW;Riddle,WilliamR;Alzheimer'sDiseaseNeuroimagingInitiative
• 通讯作者: Alzheimer'sDiseaseNeuroimagingInitiative