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:
    2015
  • 资助国家:
    加拿大
  • 起止时间:
    2015-01-01 至 2016-12-31
  • 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,来对心脏进行成像。动态PET使用一种专门的扫描仪在几分钟内对患者进行成像,在注射的示踪剂在患者体内分布时拍摄一系列快照。然后,动态图像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度。这些比率可以用来评估生理功能。在心脏PET中,我们使用这些方法来测量心肌(心肌)血流量(MBF)等功能,这可以用来检测心脏供血减少。PET MBF测量是了解疾病和衡量治疗效果的基础研究的主要工具,并正在成为一种重要的临床工具。 为了使动态正电子发射计算机成像准确,在图像采集过程中,被摄体必须保持完全静止。然而,在心脏正电子发射计算机断层扫描中,由于患者不适、咳嗽或不顺从,超过40%的扫描可观察到患者运动。即使在动物研究中,动物被麻醉,当动物在床上坐下来时,运动也是常见的。另一种常见且无法控制的运动来源是“心脏蠕动”,即在扫描过程中心脏在胸腔内停留。 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。该计划将扩展现有的最先进的成像技术和渥太华大学心脏研究所(UOHI)的大量现有数据,以开发运动检测技术。这些技术将被集成到UOHI(FlowQuant)开发的现有商业软件中,以纠正MBF测量过程中患者的运动。该程序还将探索在相机重建图像期间对运动进行校正,以获得也没有其他运动相关错误的无运动图像,从而产生更准确的MBF测量。

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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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.
Cardiac CT assessment of left ventricular mass in mid-diastasis and its prognostic value

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
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:
    2017
  • 资助金额:
    $ 2.33万
  • 项目类别:
    Discovery Grants Program - Group
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
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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