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:10904411
- 负责人:
- 金额:$ 55.54万
- 依托单位:
- 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 2027-07-31
- 项目状态:未结题
- 来源:
- 关键词:AcousticsAnimal ModelAnimalsAntineoplastic AgentsApoptosisApoptoticBiological ProcessBreast Cancer ModelBreast Cancer TreatmentBypassCell AggregationCell DeathCell NucleusCell SizeCell SurvivalCellsCharacteristicsClassificationClinicClinicalClinical ResearchColorCustomDataDependenceDiffusion Magnetic Resonance ImagingDiscriminationDisease ManagementDoseDrug resistanceEarly DiagnosisEarly treatmentEnvironmentExhibitsFrequenciesGoalsHealthHistologicHormonesImageImaging TechniquesImaging technologyIn complete remissionInduction of ApoptosisKnowledgeLocalized Malignant NeoplasmMagnetic Resonance ImagingMalignant NeoplasmsMammary Gland ParenchymaMammary NeoplasmsMeasurementMeasuresMethodsModalityMonitorNeoadjuvant TherapyNuclearOperative Surgical ProceduresOutputPathologicPathologyPatientsPatternPharmaceutical PreparationsPhysiologic pulsePlayPre-Clinical ModelPropertyRecurrenceResearchResearch Project GrantsResolutionRoleScanningSeriesSignal TransductionStructureSystemTechniquesTechnologyTestingTherapeuticTimeTissue SampleTissuesTransducersTransgenic AnimalsTreatment FailureTreatment ProtocolsUltrasonic TransducerUltrasonic waveUltrasonographyattenuationbreast imagingcancer cellcancer therapychemotherapyclinical imagingdeep learning algorithmdesignhuman diseasehuman studyimaging approachimaging systemimprovedin vivoinnovationirradiationmalignant breast neoplasmneoplastic cellnext generationnon-invasive imagingpre-clinicalpreventquantitative ultrasoundreal-time imagesresponseroutine imagingsoft tissuestandard of caresuccesstargeted imagingtheoriestransmission processtreatment responsetumorultrasound
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.
项目摘要
使用非侵入性超声来定量组织表征一直是令人兴奋的研究前景
几十年来。在此,挑战是在超声数据中找到隐藏的模式以揭示更多
有关组织功能和病理学的信息,这些信息在更传统的超声图像中无法看到。
绕过与传统组织表征方法相关的一些限制,这是一种新的模式
出现了用于癌细胞(例如癌细胞)的超声分类。称为H-SCAN超声
(“ H”代表Hermite或Hue),这种创新的实时成像技术揭示了本地频率
在软组织中发现的不同尺寸散点子聚集体的依赖性。我们使用的初步临床前发现
体内H-SCAN超声表明这种新成像技术可用于检测凋亡活动
以及对化学疗法的早期反应。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。以这些以前的知识为指导
研究,当前研究项目的目的是开发体内H-SCAN超声的下一代
成像系统和肿瘤表征方法。我们的第一个目标是实施多频H-scan
配备宽带电容微机械的可编程扫描仪上的超声成像功能
超声传感器(CMUT)。这种新的超声成像技术将通过
一系列的幻影材料嵌入了已知大小的散射器。接下来,我们将量化H-Scan的成功
超声成像,用于使用乳腺癌的临床前模型监测对化学疗法的早期反应
这概括了人类疾病。然后,我们将H-SCAN超声检查结果与物理测量结果进行比较
通过竞争成像技术获得的癌细胞大小和结果。最后,我们将进行第一个
人类对乳腺癌的多频H-SCAN超声成像的研究,并评估了帮助的潜力
与疾病管理。
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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Kenneth Hoyt其他文献
Kenneth Hoyt的其他文献
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{{ truncateString('Kenneth Hoyt', 18)}}的其他基金
Remote Intravascular Pressure Sensing using Ultrasound
使用超声波进行远程血管内压力传感
- 批准号:
10648240 - 财政年份:2023
- 资助金额:
$ 55.54万 - 项目类别:
Multifrequency ultrasound imaging for improved breast tissue characterization
多频超声成像可改善乳腺组织特征
- 批准号:
10530983 - 财政年份:2022
- 资助金额:
$ 55.54万 - 项目类别:
Multiparametric ultrasound imaging for early detection of nonalcoholic fatty liver disease
多参数超声成像用于早期检测非酒精性脂肪肝
- 批准号:
10320337 - 财政年份:2020
- 资助金额:
$ 55.54万 - 项目类别:
Multiparametric ultrasound imaging for early detection of nonalcoholic fatty liver disease
多参数超声成像用于早期检测非酒精性脂肪肝
- 批准号:
10532168 - 财政年份:2020
- 资助金额:
$ 55.54万 - 项目类别:
Multiparametric ultrasound imaging for early detection of nonalcoholic fatty liver disease
多参数超声成像用于早期检测非酒精性脂肪肝
- 批准号:
10094699 - 财政年份:2020
- 资助金额:
$ 55.54万 - 项目类别:
3D Super-Resolution Ultrasound Imaging for Cancer Detection and Treatment Monitoring
用于癌症检测和治疗监测的 3D 超分辨率超声成像
- 批准号:
10318580 - 财政年份:2019
- 资助金额:
$ 55.54万 - 项目类别:
Noninvasive Pressure Estimation in Breast Cancer using Ultrasound
使用超声波对乳腺癌进行无创压力估计
- 批准号:
9225468 - 财政年份:2017
- 资助金额:
$ 55.54万 - 项目类别:
Molecular Ultrasound Imaging of Cancer Response to Antiangiogenic Therapy
癌症抗血管生成治疗反应的分子超声成像
- 批准号:
8698828 - 财政年份:2014
- 资助金额:
$ 55.54万 - 项目类别:
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