NeuroExplorer: Ultra-high Performance Human Brain PET Imager for Highly-resolved In Vivo Imaging of Neurochemistry

NeuroExplorer:超高性能人脑 PET 成像仪,用于神经化学的高分辨率体内成像

基本信息

  • 批准号:
    10005604
  • 负责人:
  • 金额:
    $ 193.9万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-09-12 至 2025-08-31
  • 项目状态:
    未结题

项目摘要

Research applications of brain Positron Emission Tomography (PET) have been in place for over 40 years. The combination of quantitative PET systems with novel radiotracers has led to a numerous imaging para- digms to understand normal brain physiology including neurotransmitter dynamics and receptor pharmacology at rest and during activation. Brain-dedicated PET systems offer important advantages over currently available PET systems in terms of sensitivity and resolution. However, the state-of-the-art for brain PET has not progressed beyond the 20-year-old HRRT. Therefore, there is a compelling need to build the next generation of brain PET systems for human studies. This proposal brings together a highly experienced collaborative team from Yale, UC Davis, and United Imaging Healthcare America (UIHA). to develop the next generation NeuroEXPLORER (NX) PET system with the following Aims. Specific Aim 1: Design and Build the NeuroEXPLORER: In 2 years, we will complete the design and build the NX system. The design includes high performance LYSO-SiPM blocks with small detectors, 4-mm depth-of-interaction, 250 ps time-of-flight resolution, and axial length of ~50 cm, paired with CT for attenuation correction. This design will produce a factor of 10 greater effective sensitivity than the HRRT and practical resolution of 1.5-2 mm in the human brain. The system will include built-in real-time state-of-art motion tracking cameras and will be tested using novel phantom experiments to assess the full-range of operation to validate the dramatic improvement in small- region precision and accuracy. Specific Aim 2: Algorithm Development for Fully-Quantitative Brain PET. We will develop the novel algorithms for this system. Using EXPLORER experience. we will implement reconstruction algorithms to produce dynamic images with uniform ultra-high resolution in space and time, Extending Yale’s HRRT motion correction experience, we will develop camera-based motion detection and correction algorithms to deliver ultra-high resolution human brain images. Using the carotid artery shape and geometry, we will develop methods to accurately measure blood activity to be compared to human arterial data with the goal to permit kinetic modeling without arterial sampling. We will develop noise reduction methods with machine learning to reduce dose for studying health brains and to eliminate the need for the CT scan for attenuation correction. Specific Aim 3: Human Paradigm Demonstration. With human subjects, we will evaluate specific imaging paradigms to demonstrate the effectiveness of the NX system: 1) demonstration of the dramatic sensitivity increase (with a direct comparison to the HRRT) and its impact on detection of pharmacologic effects, 2) leveraging high sensitivity to reliably measure uptake in small nuclei; and 3) opening new frontiers of imaging neurotransmitter dynamics, including dopamine and opioid release. The ultimate goal is a fully functioning and characterized system that dramatically expands the scope of brain PET protocols and applications.
脑正电子发射断层扫描(PET)的研究应用已有40多年的历史。

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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Richard E. Carson其他文献

Comparison of Bolus and Infusion Methods for Receptor Quantitation: Application to [18F]Cyclofoxy and Positron Emission Tomography
用于受体定量的推注和输注方法的比较:在 [18F]Cyclofoxy 和正电子发射断层扫描中的应用
  • DOI:
  • 发表时间:
    1993
  • 期刊:
  • 影响因子:
    6.3
  • 作者:
    Richard E. Carson;M. Channing;Ronald G. Blasberg;B. Dunn;Robert M. Cohen;K. Rice;P. Herscovitch
  • 通讯作者:
    P. Herscovitch
Poster Number: EI 39 - Investigating Age Related Associations of Metabotropic Glutamate Receptor 5 Density Using [<sup>18</sup>F]FPEB and PET
  • DOI:
    10.1016/j.jagp.2017.01.110
  • 发表时间:
    2017-03-01
  • 期刊:
  • 影响因子:
  • 作者:
    Adam P. Mecca;Kelly Rogers;Zachary Jacobs;Julia W. McDonald;Hannah R. Michalak;Nicole DellaGioia;Nabeel Nabulsi;David Matuskey;Irina Esterlis;Richard E. Carson;Christopher H. van Dyck
  • 通讯作者:
    Christopher H. van Dyck
Generating synthetic brain PET images of synaptic density based on MR T1 images using deep learning
  • DOI:
    10.1186/s40658-025-00744-5
  • 发表时间:
    2025-03-31
  • 期刊:
  • 影响因子:
    3.200
  • 作者:
    Xinyuan Zheng;Patrick Worhunsky;Qiong Liu;Xueqi Guo;Xiongchao Chen;Heng Sun;Jiazhen Zhang;Takuya Toyonaga;Adam P. Mecca;Ryan S. O’Dell;Christopher H. van Dyck;Gustavo A. Angarita;Kelly Cosgrove;Deepak D’Souza;David Matuskey;Irina Esterlis;Richard E. Carson;Rajiv Radhakrishnan;Chi Liu
  • 通讯作者:
    Chi Liu
Reductions in synaptic marker SV2A in early-course Schizophrenia.
早期精神分裂症中突触标记物 SV2A 的减少。
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    4.8
  • 作者:
    Jong H. Yoon;Zhener Zhang;E. Mormino;G. Davidzon;M. Minzenberg;Jacob S. Ballon;Agnieszka Kalinowski;K. Hardy;M. Naganawa;Richard E. Carson;M. Khalighi;J. H. Park;D. Levinson;F. Chin
  • 通讯作者:
    F. Chin
Diagnostic characteristics and dispositions in suicidal hospitalized medical and surgical patients.
自杀住院内科和外科患者的诊断特征和倾向。
  • DOI:
  • 发表时间:
    1989
  • 期刊:
  • 影响因子:
    7
  • 作者:
    M. Hale;J. Jacobson;Richard E. Carson
  • 通讯作者:
    Richard E. Carson

Richard E. Carson的其他文献

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{{ truncateString('Richard E. Carson', 18)}}的其他基金

Imaging Core
成像核心
  • 批准号:
    10431902
  • 财政年份:
    2020
  • 资助金额:
    $ 193.9万
  • 项目类别:
NeuroExplorer: Ultra-high Performance Human Brain PET Imager for Highly-resolved In Vivo Imaging of Neurochemistry
NeuroExplorer:超高性能人脑 PET 成像仪,用于神经化学的高分辨率体内成像
  • 批准号:
    10261504
  • 财政年份:
    2020
  • 资助金额:
    $ 193.9万
  • 项目类别:
Imaging Core
成像核心
  • 批准号:
    9921661
  • 财政年份:
    2020
  • 资助金额:
    $ 193.9万
  • 项目类别:
Imaging Core
成像核心
  • 批准号:
    10620831
  • 财政年份:
    2020
  • 资助金额:
    $ 193.9万
  • 项目类别:
Imaging Core
成像核心
  • 批准号:
    10180858
  • 财政年份:
    2020
  • 资助金额:
    $ 193.9万
  • 项目类别:
NeuroExplorer: Ultra-high Performance Human Brain PET Imager for Highly-resolved In Vivo Imaging of Neurochemistry
NeuroExplorer:超高性能人脑 PET 成像仪,用于神经化学的高分辨率体内成像
  • 批准号:
    10471435
  • 财政年份:
    2020
  • 资助金额:
    $ 193.9万
  • 项目类别:
Imaging Core
成像核心
  • 批准号:
    10201547
  • 财政年份:
    2019
  • 资助金额:
    $ 193.9万
  • 项目类别:
Imaging Core
成像核心
  • 批准号:
    10449224
  • 财政年份:
    2019
  • 资助金额:
    $ 193.9万
  • 项目类别:
Imaging Core
成像核心
  • 批准号:
    10652566
  • 财政年份:
    2019
  • 资助金额:
    $ 193.9万
  • 项目类别:
A Program for Innovative PET Radioligand Development and Application - atranslational toolbox for treatments for Mental Health
创新 PET 放射性配体开发和应用计划 - 心理健康治疗的转化工具箱
  • 批准号:
    9767859
  • 财政年份:
    2018
  • 资助金额:
    $ 193.9万
  • 项目类别:

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