Quantitative MRI/PET bimodal pharmacokinetic modeling to improve diagnostic accuracy in medical imaging

定量 MRI/PET 双峰药代动力学模型可提高医学成像的诊断准确性

基本信息

  • 批准号:
    RGPIN-2014-05386
  • 负责人:
  • 金额:
    $ 3.79万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2016
  • 资助国家:
    加拿大
  • 起止时间:
    2016-01-01 至 2017-12-31
  • 项目状态:
    已结题

项目摘要

In the clinic, various imaging technologies are used to look inside patients and find out “what’s wrong”. PET/MRI is a newly available technology which combines two established imaging technologies, Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET). PET/MRI scanners are making an entry into Canadian hospitals, and several studies have presented some of the advantages of PET/MRI over separate PET and MRI scanners. However, PET/MRI scanners are very expensive, and to make sure Canadians get a high return from this investment, we must explore the full potential of this technology. Our research focuses on molecular imaging, a specific branch of imaging that quantifies physiological processes and characterizes tissues in very fine detail. To do this, we inject molecular “probes” that can be monitored during imaging. For example, PET can be used to detect the sugar consumption of cells using a traceable sugar, and MRI can be used to detect blood flow to a tumor using a contrast generating probe. This kind of information can be used in the clinic to plan and monitor anti-cancer therapy, and diagnose pathologies. However, molecular imaging is not easy. A difficulty is that distribution of an injected probe inside the body depends on both its intended target (what we are looking for) and any other interaction it has with the body. Imagine a building with many rooms where patients require treatment. Injecting a probe is like sending nurses and physicians inside whose goal is to attend to these patients. Imaging is like watching through the windows. How can an observer know whether a physician is inside a room because he/she has found a patient, or because he/she is looking for one? If a physician stops moving, he/she might simply be stuck in a room because the room is very busy. He/She might also be discussing with someone healthy. Molecular imaging is similar: We inject a probe to detect a tumor, and we detect the probe somewhere in the body. Yet, we can never be certain if the probe has indeed found its intended target, or if it is there simply because it is exploring the body “searching” for its target. The solution to this problem is fairly simple: We send another team, whose only goal is to walk inside the building and explore the rooms without stopping to attend to patients. At the end, we compare the location of both teams, and the difference indicates where the patients are. This is where PET/MRI comes in handy: we have two observers (imaging technologies) capable of detecting one probe each. The first probe is targeted (e.g., toward a tumor), and the second one is untargeted, and indicates where the first probe would be if it was just “exploring” the body. The difference between the two indicates where the target is located. As of now, the field of molecular imaging in the clinic is limited because of the problem described here. Our work will remove this limitation. Using PET/MRI, we will develop methods to monitor two probes. We will, among other things, be able to make the difference between untargeted (unspecific) and targeted (specific) signal in images, which will enable us to characterize tissues more accurately, and provide real, solid and quantitative information at the molecular level that clinicians can use to diagnose and monitor diseases.
在诊所里,各种成像技术被用来观察病人的身体,找出“哪里出了问题”。PET/MRI是一种结合了磁共振成像(MRI)和正电子发射断层扫描(PET)两种已有成像技术的新技术。PET/MRI扫描仪正在进入加拿大的医院,一些研究表明PET/MRI比单独的PET和MRI扫描仪有一些优势。然而,PET/MRI扫描仪非常昂贵,为了确保加拿大人从这项投资中获得高回报,我们必须探索这项技术的全部潜力。

项目成果

期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Lepage, Martin其他文献

Cortical thickness is associated with poor insight in first-episode psychosis
  • DOI:
    10.1016/j.jpsychires.2010.10.016
  • 发表时间:
    2011-06-01
  • 期刊:
  • 影响因子:
    4.8
  • 作者:
    Buchy, Lisa;Ad-Dab'bagh, Yasser;Lepage, Martin
  • 通讯作者:
    Lepage, Martin
Selective abnormal modulation of hippocampal activity during memory formation in first-episode psychosis
  • DOI:
    10.1001/archpsyc.64.9.999
  • 发表时间:
    2007-09-01
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Achim, Amelie M.;Bertrand, Marie-Claude;Lepage, Martin
  • 通讯作者:
    Lepage, Martin
Neural markers of remission in first-episode schizophrenia: A volumetric neuroimaging study of the hippocampus and amygdala
  • DOI:
    10.1016/j.schres.2010.06.013
  • 发表时间:
    2010-09-01
  • 期刊:
  • 影响因子:
    4.5
  • 作者:
    Bodnar, Michael;Malla, Ashok K.;Lepage, Martin
  • 通讯作者:
    Lepage, Martin
Source retrieval is not properly differentiated from object retrieval in early schizophrenia: An fMRI study using virtual reality
  • DOI:
    10.1016/j.nicl.2014.08.006
  • 发表时间:
    2015-01-01
  • 期刊:
  • 影响因子:
    4.2
  • 作者:
    Hawco, Colin;Buchy, Lisa;Lepage, Martin
  • 通讯作者:
    Lepage, Martin
Functional magnetic resonance imaging study of external source memory and its relation to cognitive insight in non-clinical subjects
  • DOI:
    10.1111/pcn.12177
  • 发表时间:
    2014-09-01
  • 期刊:
  • 影响因子:
    11.9
  • 作者:
    Buchy, Lisa;Hawco, Colin;Lepage, Martin
  • 通讯作者:
    Lepage, Martin

Lepage, Martin的其他文献

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{{ truncateString('Lepage, Martin', 18)}}的其他基金

Methods for ultrasensitive and quantitative multimodal molecular imaging of vascular inflammation
血管炎症超灵敏定量多模态分子成像方法
  • 批准号:
    RGPIN-2021-04046
  • 财政年份:
    2022
  • 资助金额:
    $ 3.79万
  • 项目类别:
    Discovery Grants Program - Individual
Methods for ultrasensitive and quantitative multimodal molecular imaging of vascular inflammation
血管炎症超灵敏定量多模态分子成像方法
  • 批准号:
    RGPIN-2021-04046
  • 财政年份:
    2021
  • 资助金额:
    $ 3.79万
  • 项目类别:
    Discovery Grants Program - Individual
A trait oriented approach to the cognitive neuroscience of memory
记忆认知神经科学的面向特征的方法
  • 批准号:
    RGPIN-2015-04913
  • 财政年份:
    2021
  • 资助金额:
    $ 3.79万
  • 项目类别:
    Discovery Grants Program - Individual
Can deep-learning algorithms identify genetic mutations or aberrant cellular signalling pathways from medical images?
深度学习算法能否从医学图像中识别基因突变或异常细胞信号通路?
  • 批准号:
    531111-2018
  • 财政年份:
    2020
  • 资助金额:
    $ 3.79万
  • 项目类别:
    Collaborative Research and Development Grants
A trait oriented approach to the cognitive neuroscience of memory
记忆认知神经科学的面向特征的方法
  • 批准号:
    RGPIN-2015-04913
  • 财政年份:
    2020
  • 资助金额:
    $ 3.79万
  • 项目类别:
    Discovery Grants Program - Individual
A trait oriented approach to the cognitive neuroscience of memory
记忆认知神经科学的面向特质的方法
  • 批准号:
    RGPIN-2015-04913
  • 财政年份:
    2019
  • 资助金额:
    $ 3.79万
  • 项目类别:
    Discovery Grants Program - Individual
Can deep-learning algorithms identify genetic mutations or aberrant cellular signalling pathways from medical images?
深度学习算法能否从医学图像中识别基因突变或异常细胞信号通路?
  • 批准号:
    531111-2018
  • 财政年份:
    2019
  • 资助金额:
    $ 3.79万
  • 项目类别:
    Collaborative Research and Development Grants
Quantitative MRI/PET bimodal pharmacokinetic modeling to improve diagnostic accuracy in medical imaging
定量 MRI/PET 双峰药代动力学模型可提高医学成像的诊断准确性
  • 批准号:
    RGPIN-2014-05386
  • 财政年份:
    2018
  • 资助金额:
    $ 3.79万
  • 项目类别:
    Discovery Grants Program - Individual
Can deep-learning algorithms identify genetic mutations or aberrant cellular signalling pathways from medical images?
深度学习算法能否从医学图像中识别基因突变或异常细胞信号通路?
  • 批准号:
    531111-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 3.79万
  • 项目类别:
    Collaborative Research and Development Grants
A trait oriented approach to the cognitive neuroscience of memory
记忆认知神经科学的面向特质的方法
  • 批准号:
    RGPIN-2015-04913
  • 财政年份:
    2018
  • 资助金额:
    $ 3.79万
  • 项目类别:
    Discovery Grants Program - Individual

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Unraveling Silent Progression in MS Using Advanced Quantitative MRI, PET Molecular Imaging and Computational Neuroanatomy
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集成定量正电子发射断层扫描 (PET) 和磁共振成像 (MRI) 来测量神经炎症
  • 批准号:
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