Multifrequency ultrasound imaging for improved breast tissue characterization

多频超声成像可改善乳腺组织特征

基本信息

批准号：
10530983
负责人：
Kenneth Hoyt
金额：
$ 60.36万
依托单位：
UNIVERSITY OF TEXAS DALLAS
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-08-15 至 2023-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10530983
关键词：
Acoustics Animal Model Animals Antineoplastic Agents Apoptosis Apoptotic Biological Process Breast Cancer Model Breast Cancer Treatment Bypass Cell Death Cell Nucleus Cell Size Cell Survival Cells Characteristics Classification Clinic Clinical Clinical Research Color Custom Data Dependence Diffusion Magnetic Resonance Imaging Discrimination Disease Management Dose Drug resistance Early treatment Environment Exhibits Frequencies Goals Health Histologic Hormones Image Imaging Techniques Imaging technology In complete remission Induction of Apoptosis Knowledge Localized Malignant Neoplasm Magnetic Resonance Imaging Malignant Neoplasms Mammary Gland Parenchyma Mammary Neoplasms Measurement Measures Methods Modality Monitor Neoadjuvant Therapy Nuclear Operative Surgical Procedures Output Pathologic Pathology Patients Pattern Pharmaceutical Preparations Physiologic pulse Play Pre-Clinical Model Property Recurrence Research Research Project Grants Resolution Role Scanning Series Signal Transduction Structure System Techniques Technology Testing Time Tissue Sample Tissues Transducers Transgenic Animals Treatment Failure Treatment Protocols Ultrasonic Transducer Ultrasonic wave Ultrasonography attenuation base breast imaging cancer cell cancer therapy chemotherapy clinical imaging deep learning algorithm design human disease human study imaging approach imaging system improved in vivo innovation irradiation malignant breast neoplasm neoplastic cell next generation non-invasive imaging pre-clinical prevent programs quantitative ultrasound real-time images response routine imaging soft tissue standard of care success targeted imaging technology diffusion theories treatment response tumor ultrasound

项目摘要

PROJECT SUMMARY The use of noninvasive ultrasound for quantitative tissue characterization has been an exciting research prospect for several decades now. Herein the challenge is to find hidden patterns in the ultrasound data to reveal more information about tissue function and pathology that cannot be seen in the more conventional ultrasound images. Bypassing some of the limitations associated with traditional tissue characterization approaches, a new modality has emerged for the ultrasound classification of acoustic scatterers like cancer cells. Termed H-scan ultrasound (where the ‘H’ stands for Hermite or hue), this innovative real-time imaging technique reveals the local frequency dependence of different-sized scatterer aggregates found in soft tissue. Our preliminary preclinical findings using in vivo H-scan ultrasound have indicated that this new imaging technique is useful for detecting apoptotic activity and an early response to chemotherapy. Here changes in H-scan ultrasound image intensity were shown to have a strong correlation to local cancer cell nuclear size. Guided by knowledge gained from these previous studies, the purpose of the current research project is to develop a next-generation in vivo H-scan ultrasound imaging system and tumor characterization method. Our first goal is to implement a multifrequency H-scan ultrasound imaging functionality on programmable scanner equipped with a wideband capacitive micromachined ultrasonic transducer (CMUT). This new ultrasound imaging technology will be tested and optimized using a series of phantom materials embedded with scatterers of known size. Next, we will quantify success of H-scan ultrasound imaging for monitoring an early response to chemotherapy using a preclinical model of breast cancer that recapitulates human disease. We will then compare H-scan ultrasound findings to physical measurements of cancer cell size and results obtained by competing imaging technologies. Lastly, we will conduct the first human study of multifrequency H-scan ultrasound imaging of breast cancer and evaluate the potential for helping with disease management.

项目概要使用无创超声进行定量组织表征一直是一个令人兴奋的研究前景几十年来，这里的挑战是找到超声数据中的隐藏模式以揭示更多信息。有关组织功能和病理学的信息在更传统的超声图像中无法看到。一种新的模式绕过了与传统组织表征方法相关的一些限制已出现用于对癌细胞等声散射体进行超声分类的技术，称为 H 扫描超声。（其中“H”代表 Hermite 或色调），这种创新的实时成像技术揭示了局部频率我们使用软组织中发现的不同大小的散射体聚集体的初步临床前发现。体内 H 扫描超声表明这种新的成像技术可用于检测细胞凋亡活性这里显示了 H 扫描超声图像强度的变化。与局部癌细胞核大小有很强的相关性。研究，当前研究项目的目的是开发下一代体内 H 扫描超声我们的首要目标是实现多频 H 扫描。配备宽带电容微机械的可编程扫描仪的超声成像功能这种新的超声成像技术将使用超声换能器（CMUT）进行测试和优化。接下来，我们将量化 H 扫描的成功。使用乳腺癌临床前模型监测化疗的早期反应的超声成像然后我们将 H 扫描超声结果与物理测量结果进行比较。最后，我们将进行第一次癌症细胞大小和通过竞争成像技术获得的结果。乳腺癌多频 H 扫描超声成像的人体研究并评估其帮助的潜力与疾病管理。