Development of an ultrasound-optical hybrid modality preclinical imaging tool

超声光学混合模态临床前成像工具的开发

基本信息

  • 批准号:
    8832323
  • 负责人:
  • 金额:
    $ 21.75万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-04-15 至 2016-09-30
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Preclinical animal models are used extensively in cancer research to evaluate drug efficacy and toxicity and to better understand the disease's complex fundamental underlying processes. In vivo imaging studies enable researchers to longitudinally assess tumor presence, functional status, and response the therapy without the need to sacrifice animals for each read point. Anatomical imaging modalities (MRI, CT, and Ultrasound) enable the visualization and assessment of tissue structures, which are necessary to localize the signals acquired via the molecular imaging modalities (PET, SPECT, and Optical), which assess the functional status of tissues (tumor metabolic demand, molecular signal expression, drug biodistribution, etc.). Ultrasound is the least expensive of the anatomical modalities with the fastest acquisition time, but there is no ultrasound product on the market for whole body imaging, thus researchers often resort to MR or CT based anatomical imaging for their dual modality studies. MR and CT imaging studies are slow, expensive, and reduce study throughput. We propose to build a high throughput and low cost ultrasound-optical hybrid modality system which could speed up preclinical drug research, as well as drive down costs. Our company, SonoVol, is the result of several years of strong collaborative academic-industry research between Dr. Paul Dayton's ultrasound imaging lab at UNC and Dr. Stephen Aylward's image analysis lab at Kitware. Unlike MR or CT, our SonoVol device is an inexpensive and benchtop imaging system which can capture a whole body mouse image in less than 5 minutes. We are proposing to build the after- market hardware and software components necessary to transfer a mouse between existing commercially available imaging systems to create a fusion between a whole-body anatomical ultrasound image, and a bioluminescence image. We will test this system in both a controlled in vitro environment, as well as a pilot small animal study implementing SonoVol's proprietary hardware. This SonoVol device allows any ultrasound probe to be manipulated around an animal to build up a cohesive whole-body 3D volume, as well as leverage several powerful image processing and analysis tools to align the two modalities, allowing one-to-one mapping between the anatomical and functional images. Furthermore, it will be possible to target ultrasound images, on-the-fly, to regions in the mouse's body which have strong bioluminescence signal expression. The next phase of commercialization of this product will be to build a dedicated system which does not require a physical transfer of the animal between systems, thereby further increasing throughput.
描述(由申请人提供):临床前动物模型广泛用于癌症研究,以评估药物疗效和毒性,并更好地了解疾病复杂的基本潜在过程。体内成像研究使研究人员能够纵向评估肿瘤的存在、功能状态和对治疗的反应,而不需要在每个读取点处死动物。解剖成像模式(MRI、CT和超声)能够实现组织结构的可视化和评估,这对于定位通过分子成像模式(PET、SPECT和光学)获取的信号是必要的,分子成像模式评估组织的功能状态(肿瘤代谢需求、分子信号表达、药物生物分布等)。超声波是最便宜的解剖 虽然MRI是采集时间最快的成像方式,但市场上没有用于全身成像的超声产品,因此研究人员经常采用基于MR或CT的解剖成像进行双模态研究。MR和CT成像研究是缓慢的,昂贵的,并降低研究吞吐量。我们建议建立一个高通量和低成本的超声-光学混合模式系统,可以加快临床前药物研究,以及降低成本。我们的公司Sonoport是Paul代顿博士在斯坦福大学的超声成像实验室和Stephen Aylward博士在Kitware的图像分析实验室之间多年强大的学术-工业合作研究的结果。与MR或CT不同,我们的Sonopoly设备是一种廉价的台式成像系统,可以在不到5分钟的时间内捕获全身小鼠图像。我们建议构建在现有市售成像系统之间转移小鼠所需的售后硬件和软件组件,以创建全身解剖超声图像和生物发光图像之间的融合。我们将在受控的体外环境中测试该系统,以及实施Sonopolitan专有硬件的试点小动物研究。该Sonopoly设备允许在动物周围操纵任何超声探头,以建立一个有凝聚力的全身3D体积,并利用几个强大的图像处理和分析工具来对齐两种模式,允许解剖和功能图像之间的一对一映射。此外,它将有可能在飞行中将超声图像瞄准到小鼠大脑中的区域。 具有强烈生物发光信号表达的体。该产品商业化的下一阶段将是建立一个专用系统,该系统不需要在系统之间物理转移动物,从而进一步提高产量。

项目成果

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Ryan Gessner其他文献

Ryan Gessner的其他文献

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{{ truncateString('Ryan Gessner', 18)}}的其他基金

A turnkey research platform to accelerate clinical translation of focused-ultrasound (FUS) oncology therapies
加速聚焦超声 (FUS) 肿瘤疗法临床转化的交钥匙研究平台
  • 批准号:
    9908739
  • 财政年份:
    2019
  • 资助金额:
    $ 21.75万
  • 项目类别:
Development of a mobile and automated platform for multiplexed multi-modality imaging
开发用于多重多模态成像的移动自动化平台
  • 批准号:
    9347144
  • 财政年份:
    2015
  • 资助金额:
    $ 21.75万
  • 项目类别:

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