Improving the accuracy of cardiac PET with motion-free imaging.

通过无运动成像提高心脏 PET 的准确性。

基本信息

  • 批准号:
    436149-2013
  • 负责人:
  • 金额:
    $ 2.33万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Group
  • 财政年份:
    2017
  • 资助国家:
    加拿大
  • 起止时间:
    2017-01-01 至 2018-12-31
  • 项目状态:
    已结题

项目摘要

Cardiac positron emission tomography (PET) uses a minute amount of radioactive labelled compound, called a tracer, to image the heart. Dynamic PET uses a specialized scanner to image the patient over several minutes, taking a series of snap shots of the injected tracer as it distributes through the patient's body. The dynamic images can then be processed by specialized software to measure the rates at which the tracer interacts with the tissues in the body. These rates can be used to assess physiologic function. In cardiac PET we use these methods to measure functions such as myocardial (heart muscle) blood flow (MBF), which can be used to detect reduced blood supply to the heart. PET MBF measurement is a leading tool in basic research for understanding disease and measuring therapy effectiveness, and is emerging as an important clinical tool. For dynamic PET to be accurate, the subject must remain perfectly still during image acquisition. However, in cardiac PET, patient motion is observed in over 40% of scans due to patient discomfort, coughing, or non-compliance. Even in animal studies, where the animal anaesthetized, motion is common as the animal settles on the bed. Another common and uncontrollable source of motion is "heart creep", settling of the heart in the chest, over the duration of the scan. This program aims to address heart motion, by automatically detecting it, and correcting the images before measuring MBF. The program will expand on existing state-of-the-art imaging technologies and a vast amount of existing data at the University of Ottawa Heart Institute (UOHI) to develop motion detection techniques. These techniques will be integrated into existing commercial software developed at UOHI (FlowQuant©) to correct patient motion during MBF measurement. The program will also explore correction for motion during image reconstruction by the camera, to obtain motion-free images that are also free of other motion related errors, thus resulting in even more accurate MBF measurements.
心脏正电子发射断层扫描(PET)使用微量的放射性标记化合物(称为示踪剂)对心脏进行成像。动态PET使用专门的扫描仪在几分钟内对患者进行成像,在注射示踪剂分布在患者体内时拍摄一系列快照。动态图像然后可以由专门的软件处理,以测量示踪剂与体内组织相互作用的速率。这些速率可用于评估生理功能。在心脏PET中,我们使用这些方法来测量功能,如心肌(心肌)血流量(MBF),可用于检测心脏供血减少。PET MBF测量是基础研究中用于了解疾病和测量治疗有效性的领先工具,并且正在成为重要的临床工具。为了使动态PET准确,受试者在图像采集期间必须保持完全静止。然而,在心脏PET中,由于患者不适、咳嗽或不依从,在超过40%的扫描中观察到患者运动。即使在动物研究中,动物被麻醉,当动物躺在床上时,运动也是常见的。另一个常见的和不可控制的运动源是“心脏蠕动”,在扫描期间心脏在胸部的沉降。该程序旨在通过自动检测心脏运动并在测量MBF之前校正图像来解决心脏运动问题。该计划将扩大现有的最先进的成像技术和大量的现有数据在渥太华大学心脏研究所(UOHI)开发运动检测技术。这些技术将被集成到UOHI开发的现有商业软件(FlowQuant©)中,以校正MBF测量期间的患者运动。该计划还将探索相机图像重建期间的运动校正,以获得无运动图像,也没有其他运动相关误差,从而导致更准确的MBF测量。

项目成果

期刊论文数量(0)
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会议论文数量(0)
专利数量(0)

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Klein, Ran其他文献

Development and validation of the Lesion Synthesis Toolbox and the Perception Study Tool for quantifying observer limits of detection of lesions in positron emission tomography
  • DOI:
    10.1117/1.jmi.7.2.022412
  • 发表时间:
    2020-03-01
  • 期刊:
  • 影响因子:
    2.4
  • 作者:
    Gabrani-Juma, Hanif;Al Bimani, Zamzam;Klein, Ran
  • 通讯作者:
    Klein, Ran
Clinical comparison of the positron emission tracking (PeTrack) algorithm with the real-time position management system for respiratory gating in cardiac positron emission tomography
  • DOI:
    10.1002/mp.14052
  • 发表时间:
    2020-02-19
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Manwell, Spencer;Klein, Ran;deKemp, Robert A.
  • 通讯作者:
    deKemp, Robert A.
Patient body motion correction for dynamic cardiac PET-CT by attenuation-emission alignment according to projection consistency conditions
  • DOI:
    10.1002/mp.13419
  • 发表时间:
    2019-04-01
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Hunter, Chad R. R. N.;Klein, Ran;deKemp, Robert A.
  • 通讯作者:
    deKemp, Robert A.
Absolute myocardial flow quantification with (82)Rb PET/CT: comparison of different software packages and methods.
  • DOI:
    10.1007/s00259-013-2537-1
  • 发表时间:
    2014-01
  • 期刊:
  • 影响因子:
    9.1
  • 作者:
    Tahari, Abdel K.;Lee, Andy;Rajaram, Mahadevan;Fukushima, Kenji;Lodge, Martin A.;Lee, Benjamin C.;Ficaro, Edward P.;Nekolla, Stephan;Klein, Ran;deKemp, Robert A.;Wahl, Richard L.;Bengel, Frank M.;Bravo, Paco E.
  • 通讯作者:
    Bravo, Paco E.
Feasibility and operator variability of myocardial blood flow and reserve measurements with 99mTc-sestamibi quantitative dynamic SPECT/CT imaging
  • DOI:
    10.1007/s12350-014-9971-8
  • 发表时间:
    2014-12-01
  • 期刊:
  • 影响因子:
    2.4
  • 作者:
    Klein, Ran;Hung, Guang-Uei;Hsu, Bailing
  • 通讯作者:
    Hsu, Bailing

Klein, Ran的其他文献

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{{ truncateString('Klein, Ran', 18)}}的其他基金

Pushing the limits of detection with PET
突破 PET 检测极限
  • 批准号:
    RGPIN-2020-04741
  • 财政年份:
    2022
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Discovery Grants Program - Individual
Pushing the limits of detection with PET
突破 PET 检测极限
  • 批准号:
    RGPAS-2020-00107
  • 财政年份:
    2022
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
Pushing the limits of detection with PET
突破 PET 检测极限
  • 批准号:
    RGPIN-2020-04741
  • 财政年份:
    2021
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Discovery Grants Program - Individual
Pushing the limits of detection with PET
突破 PET 检测极限
  • 批准号:
    RGPAS-2020-00107
  • 财政年份:
    2021
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
Pushing the limits of detection with PET
突破 PET 检测极限
  • 批准号:
    RGPIN-2020-04741
  • 财政年份:
    2020
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Discovery Grants Program - Individual
Pushing the limits of detection with PET
突破 PET 检测极限
  • 批准号:
    RGPAS-2020-00107
  • 财政年份:
    2020
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
Integration of Human and Machine Observers for the Interpretation of Medical Images
整合人类和机器观察者来解读医学图像
  • 批准号:
    516276-2017
  • 财政年份:
    2017
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Engage Grants Program
Improving the accuracy of cardiac PET with motion-free imaging.
通过无运动成像提高心脏 PET 的准确性。
  • 批准号:
    436149-2013
  • 财政年份:
    2016
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Discovery Grants Program - Group
Improving the accuracy of cardiac PET with motion-free imaging.
通过无运动成像提高心脏 PET 的准确性。
  • 批准号:
    436149-2013
  • 财政年份:
    2015
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Discovery Grants Program - Group
Image data de-identification for biomedical research
用于生物医学研究的图像数据去识别化
  • 批准号:
    463191-2014
  • 财政年份:
    2014
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Engage Grants Program

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