Multi-excitation magnetoacoustic imaging of tissue conductivities

组织电导率的多激励磁声成像

基本信息

  • 批准号:
    8450442
  • 负责人:
  • 金额:
    $ 20.11万
  • 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:
    2012-09-30 至 2014-08-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Breast cancer is one of the most life-threatening tumors among women in U.S. There is considerable evidence that early diagnosis and treatment of breast cancer can significantly increase chances of survival. While X-ray mammography is the current standard screening technique, it is limited by its poor soft tissue differentiation and radiation exposure. Patients with positive mammographic findings require a biopsy for definitive diagnosis, and it was reported that biopsies of breast lesions identified in mammography screenings are negative for malignancy in a significant portion of the patients. We propose to develop a novel, cost-effective, non-ionizing, high resolution, and high specificity imaging system for imaging electrical conductivity by integrating biomagnetism with ultrasound (magnetoacoustic tomography with magnetic induction: MAT-MI) for screening and early detection of breast cancer. This proposed development is based on the experimental evidence that cancerous tissue shows significantly higher electrical conductivity value than normal and benign tissue. In this R21 project, we propose to explore and develop a 3-dimensional (3D) multi-excitation MAT-MI (meMAT-MI) system and evaluate it in computer simulations, phantom experiments, and breast specimen imaging, for the purpose of achieving high resolution, high specificity electrical impedance imaging throughout the volume with a cost effective system realization for breast cancer detection. In the proposed 3D meMAT-MI, the object is located in a static magnetic field and a time-varying pulsed magnetic field. Multiple pulsed magnetic stimulations will be applied to the object, which induce eddy current distributions in the object. Consequently, the sample will emit acoustic waves by the Lorentz force based on the interplay of induced currents and applied magnetic fields. The acoustic signals are collected around the object during multi-excitation to reconstruct images related with the electrical conductivity distribution in the object. Through multi-excitation using magnetic energy, we propose to reconstruct the complete electrical conductivity profiles throughout the volume of the object. We will develop and optimize the novel 3D meMAT-MI system, and assess its feasibility in computer simulations and phantom experiments. We will also test directly its performance in imaging breast tumors in human breast specimens. High resolution imaging of electrical impedance distribution is of significance for a variety of applications in biomedical research and clinical diagnosis, such as early cancer detection. The successful development of a high-resolution, non-ionizing, cost-effective electrical impedance imaging system will have a significant impact to screening and early detection of breast cancer. PUBLIC HEALTH RELEVANCE: The proposed work aims at developing and evaluating a high-resolution, high specificity bioimpedance imaging technique, which promises to provide a significantly enhanced ability for screening and early detection of breast cancer. The development of such novel imaging technique may greatly increase the specificity and accuracy of early detection of breast cancer, benefitting potentially numerous subjects and healthcare system.
描述(由申请人提供):乳腺癌是美国女性中最危及生命的肿瘤之一,有大量证据表明,乳腺癌的早期诊断和治疗可以显著增加生存机会。虽然x射线乳房x线摄影是目前标准的筛查技术,但由于其软组织分化差和辐射暴露的限制。乳房x光检查阳性的患者需要活检才能确诊,据报道,在乳房x光检查中发现的乳腺病变活检对恶性肿瘤的阴性影响很大一部分患者。我们建议开发一种新型的、具有成本效益的、非电离的、高分辨率和高特异性的成像系统,通过将生物磁学与超声(磁声断层扫描与磁感应:MAT-MI)相结合来成像电导率,用于筛查和早期检测乳腺癌。这一建议的发展是基于实验证据,即癌组织的电导率值明显高于正常和良性组织。在本R21项目中,我们提出探索和开发一种三维(3D)多激励MAT-MI (meMAT-MI)系统,并在计算机模拟、模拟实验和乳腺标本成像中对其进行评估,目的是实现高分辨率、高特异性的全体积电阻抗成像,并实现具有成本效益的乳腺癌检测系统。在所提出的三维meMAT-MI中,目标位于静态磁场和时变脉冲磁场中。对物体施加多次脉冲磁刺激,在物体内部产生涡流分布。因此,在感应电流和外加磁场的相互作用下,样品将通过洛伦兹力发射声波。在多激励过程中采集物体周围的声信号,重建与物体电导率分布相关的图像。通过利用磁能的多重激励,我们建议重建整个物体体积的完整电导率曲线。我们将开发和优化新的3D meMAT-MI系统,并评估其在计算机模拟和模拟实验中的可行性。我们还将直接测试其在人类乳腺标本中乳腺肿瘤成像的性能。电阻抗分布的高分辨率成像在生物医学研究和早期癌症检测等临床诊断中具有重要意义。高分辨率、非电离、高性价比的电阻抗成像系统的成功开发将对乳腺癌的筛查和早期检测产生重大影响。

项目成果

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BIN HE其他文献

BIN HE的其他文献

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{{ truncateString('BIN HE', 18)}}的其他基金

Imaging Epilepsy Sources with Biophysically Constrained Deep Neural Networks
使用生物物理约束的深度神经网络对癫痫源进行成像
  • 批准号:
    10655833
  • 财政年份:
    2023
  • 资助金额:
    $ 20.11万
  • 项目类别:
Electrophysiology-Compatible Wearable Transcranial Focused Ultrasound Neuromodulation Array Probes
电生理学兼容的可穿戴经颅聚焦超声神经调制阵列探头
  • 批准号:
    10616201
  • 财政年份:
    2023
  • 资助金额:
    $ 20.11万
  • 项目类别:
Breast cancer virotherapy
乳腺癌病毒治疗
  • 批准号:
    10197539
  • 财政年份:
    2021
  • 资助金额:
    $ 20.11万
  • 项目类别:
Integrative Training in Neural Interfacing
神经接口综合培训
  • 批准号:
    10470095
  • 财政年份:
    2021
  • 资助金额:
    $ 20.11万
  • 项目类别:
Characterization of in vivo neuronal and inter-neuronal responses to transcranial focused ultrasound
体内神经元和神经元间对经颅聚焦超声反应的表征
  • 批准号:
    10337754
  • 财政年份:
    2021
  • 资助金额:
    $ 20.11万
  • 项目类别:
Integrative Training in Neural Interfacing
神经接口综合培训
  • 批准号:
    10641330
  • 财政年份:
    2021
  • 资助金额:
    $ 20.11万
  • 项目类别:
Breast cancer virotherapy
乳腺癌病毒治疗
  • 批准号:
    10358606
  • 财政年份:
    2021
  • 资助金额:
    $ 20.11万
  • 项目类别:
Integrative Training in Neural Interfacing
神经接口综合培训
  • 批准号:
    10204598
  • 财政年份:
    2021
  • 资助金额:
    $ 20.11万
  • 项目类别:
Viral determinants in HSV virulence
HSV 毒力的病毒决定因素
  • 批准号:
    10045324
  • 财政年份:
    2020
  • 资助金额:
    $ 20.11万
  • 项目类别:
Viral determinants in HSV virulence
HSV 毒力的病毒决定因素
  • 批准号:
    10161720
  • 财政年份:
    2020
  • 资助金额:
    $ 20.11万
  • 项目类别:

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