Multimode laser optoacoustic tomography system for breast cancer care

用于乳腺癌护理的多模激光光声断层扫描系统

基本信息

  • 批准号:
    8637017
  • 负责人:
  • 金额:
    $ 47.76万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-05-01 至 2017-03-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): "Multimode Laser Optoacoustic Tomography System for Breast Cancer Care" The broad objective of the proposed project is to overcome the limitations of current breast imaging methods by developing a novel multimode three-dimensional (3D) breast imager that generates 5 different images based on optoacoustic tomography (OAT) and laser ultrasound tomography (UST). The rationale for combining OAT and laser UST into a multimode breast imaging method is clear and compelling, since both, OAT and UST are individually receiving significant attention as promising breast cancer imaging methods. OAT can provide two types of images: (1) image of the total hemoglobin associated with density of tumor angiogenesis and (2) image of blood oxygen saturation. This functional (molecular) information related to breast tissue blood content can help to detect early but aggressively growing breast tumors that are hard to detect with (x-ray) mammography, especially in radiologically dense breasts of younger women. On the other hand, UST can provide high-resolution anatomical images of breast lesions based on three complementary acoustic properties (1) speed-of-sound (SOS), (2) acoustic attenuation, and (3) ultrasound reflectivity. By combining OAT and laser UST we will establish an imaging system that can provide comprehensive co- registered functional and anatomical information without the need for breast compression, ionizing radiation, or contrast agents. Furthermore, using laser generation of ultrasound we will significantly improve performance (sensitivity and resolution) of the ultrasound tomography. Our hypothesis is that coregistration and correlation of 5 different images, the proposed imaging technology will provide ultimate sensitivity and specificity. When clinically validated, the new multimode 3D imaging technology will transform breast cancer care by providing not only a better screening (detection) method, but also will serve as a highly effective tool for differentiation and characterization of breast tumors, a feature critical for diagnostics and monitoring the immediate effects of various anticancer therapies. In this project, we will develop technology (system hardware and software algorithms) and test this multi-modality imager in clinical studies on patients present with small size non- palpable breast tumors suspicious for malignancy. The Specific Aims of the project are: (1) Develop, fabricate and implement an optoacoustic plus laser ultrasonic 3D tomography imager based on rotating arc-shaped array of ultrawide-band ultrasonic transducers, (2) Develop and evaluate robust OAT image reconstruction methods for use with the developed imager, (3) Develop 3D ultrasound and multimode (OAT+UST) image reconstruction methods for use with the developed imager, and (4) experimentally validate the imaging system using breast mimicking phantoms and 96 human subjects. The successful completion of the project will produce conclusive data to motivate a systematic multicenter appropriately statistically powered FDA-guided study to evaluate the effectiveness of the developed system and determine the full range of clinical indications.
描述(由申请人提供):“用于乳腺癌护理的多模激光光声断层扫描系统”该拟议项目的广泛目标是通过开发一种新型的多模层(3D)乳腺成像器来克服当前乳房成像方法的局限性,该方法基于光量播(OAT)和Laser Ultrasosils(ust)。将燕麦和激光UST结合到多模乳房成像方法中的基本原理是清晰而引人入胜的,因为燕麦和UST都单独地将其作为有希望的乳腺癌成像方法。燕麦可以提供两种类型的图像:(1)与肿瘤血管生成密度和(2)血氧饱和度图像相关的总血红蛋白图像。与乳腺组织血液含量有关的功能性(分子)信息可以帮助早期但积极地生长的乳腺肿瘤,这些乳腺肿瘤难以检测到(X射线乳房X线摄影),尤其是在年轻女性的放射性密集的乳房中。另一方面,UST可以基于三种互补的声学特性(1)回答速度(SOS),(2)声学衰减和(3)超声反射率提供乳房病变的高分辨率解剖图像。通过组合燕麦和激光UST,我们将建立一个成像系统,该系统可以提供全面的共同注册功能和解剖信息,而无需乳房压缩,电离辐射或对比剂。此外,使用激光生成超声,我们将显着提高超声断层扫描的性能(敏感性和分辨率)。我们的假设是5个不同图像的核心分配和相关性,所提出的成像技术将提供最终的灵敏度和特异性。在经过临床验证的情况下,新的多模3D成像技术将不仅提供更好的筛查(检测)方法来改变乳腺癌的护理,而且还将成为乳腺肿瘤分化和表征的高效工具,这是诊断和监测各种抗癌疗法的直接影响的特征。在该项目中,我们将开发技术(系统硬件和软件算法),并在临床研究中测试此多模式成像仪,对出现小尺寸不明显的乳腺肿瘤的患者可疑。该项目的具体目的是:(1)开发,制造和实施一个基于旋转的超级波段超声超声传感器的旋转弧形阵列的激光超声3D层析成像仪(2)开发和评估可靠的OAT oat图像重建方法,用于与开发的Imalters(3DD)进行3DDDERTERIONS(3DDDERTYTRY)(3DDDDERTYTRY)(图3D)开发成像仪,(4)使用模仿幻影和96名人类受试者的乳房对成像系统进行实验验证。该项目的成功完成将产生结论性的数据,以激励系统的多中心适当统计的FDA指导研究,以评估开发系统的有效性并确定临床适应症的全部范围。

项目成果

期刊论文数量(0)
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ALEXANDER A ORAEVSKY其他文献

ALEXANDER A ORAEVSKY的其他文献

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{{ truncateString('ALEXANDER A ORAEVSKY', 18)}}的其他基金

Multimode laser optoacoustic tomography system for breast cancer care
用于乳腺癌护理的多模激光光声断层扫描系统
  • 批准号:
    8464035
  • 财政年份:
    2012
  • 资助金额:
    $ 47.76万
  • 项目类别:
Laser Ultrasound and Optoacoustic Endoscopy of Esophagus
食管激光超声和光声内窥镜检查
  • 批准号:
    8315046
  • 财政年份:
    2012
  • 资助金额:
    $ 47.76万
  • 项目类别:
Multimode laser optoacoustic tomography system for breast cancer care
用于乳腺癌护理的多模激光光声断层扫描系统
  • 批准号:
    8274917
  • 财政年份:
    2012
  • 资助金额:
    $ 47.76万
  • 项目类别:
Optoacoustic system for monitoring biodistribution of nanoparticles in vivo.
用于监测体内纳米颗粒生物分布的光声系统。
  • 批准号:
    8203540
  • 财政年份:
    2011
  • 资助金额:
    $ 47.76万
  • 项目类别:
Optoacoustic imaging enhanced by gold nanorods
金纳米棒增强光声成像
  • 批准号:
    7940027
  • 财政年份:
    2009
  • 资助金额:
    $ 47.76万
  • 项目类别:
Optoacoustic imaging enhanced by gold nanorods
金纳米棒增强光声成像
  • 批准号:
    8487856
  • 财政年份:
    2009
  • 资助金额:
    $ 47.76万
  • 项目类别:
3D Hybrid Optoacoustic-Ultrasonic System for Diagnostic Imaging of Breast Cancer
用于乳腺癌诊断成像的 3D 混合光声超声系统
  • 批准号:
    8495494
  • 财政年份:
    2007
  • 资助金额:
    $ 47.76万
  • 项目类别:
3D Hybrid Optoacoustic-Ultrasonic System for Diagnostic Imaging of Breast Cancer
用于乳腺癌诊断成像的 3D 混合光声超声系统
  • 批准号:
    7688775
  • 财政年份:
    2007
  • 资助金额:
    $ 47.76万
  • 项目类别:
3D Hybrid Optoacoustic-Ultrasonic System for Diagnostic Imaging of Breast Cancer
用于乳腺癌诊断成像的 3D 混合光声超声系统
  • 批准号:
    7695560
  • 财政年份:
    2007
  • 资助金额:
    $ 47.76万
  • 项目类别:
3D Hybrid Optoacoustic-Ultrasonic System for Diagnostic Imaging of Breast Cancer
用于乳腺癌诊断成像的 3D 混合光声超声系统
  • 批准号:
    7272931
  • 财政年份:
    2007
  • 资助金额:
    $ 47.76万
  • 项目类别:

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