Multiparametric Tissue Characterization for Breast Cancer Screening Using Transmission and Reflection Ultrasound Tomography
使用透射和反射超声断层扫描进行乳腺癌筛查的多参数组织表征
基本信息
- 批准号:10675896
- 负责人:
- 金额:$ 6.91万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-03-01 至 2025-02-28
- 项目状态:未结题
- 来源:
- 关键词:3-DimensionalAcousticsAlgorithmsBreastBreast Cancer DetectionBreast Cancer Early DetectionBreast cancer metastasisCallbackCancer DetectionDetectionDiseaseEarly DiagnosisEquationExposure toFDA approvedGoalsHealth Care CostsHealthcare SystemsImageIonizing radiationKnowledgeMalignant NeoplasmsMammary Gland ParenchymaMammary UltrasonographyMammographyMeasuresMethodsModelingMorphologic artifactsNonionizing RadiationPatient CarePatientsPerformancePhysiologic pulsePropertyRadiationResearchResolutionRoentgen RaysScreening for cancerScreening procedureSensitivity and SpecificitySignal TransductionSpeedSystemTechniquesTechnologyTestingTissue ExpansionTissue ModelTissue imagingTissuesTranslatingUltrasonic waveUltrasonographyUnited StatesWaterWomanWorkWorld Health OrganizationX-Ray Tomographyacoustic imagingattenuationbonebreast imagingcancer biomarkerscancer diagnosiscostdensitydiagnostic valueearly detection biomarkersimaging capabilitiesimaging modalityimprovedmalignant breast neoplasmmigrationreconstructionscreeningsoundthree-dimensional modelingtomographytransmission processultrasound
项目摘要
PROJECT SUMMARY/ABSTRACT
Breast cancer is the most diagnosed cancer in women in the United States and the most commonly
occurring cancer worldwide according to the World Health Organization. The primary screening method for
non-palpable breast cancers is X-ray mammography, which uses ionizing radiation and often has low
sensitivity and specificity in dense breasts. Ultrasound tomography offers a low-cost alternative to X-ray
mammography that can image the breast based on its acoustic properties and enable early cancer detection
and diagnosis, while avoiding the potentially harmful effects of ionizing radiation. Currently, ultrasound
tomography of the breast generally relies primarily on the transmission of ultrasound through the tissue to
reconstruct underlying tissue properties such as sound speed and attenuation. However, a significant gap in
our knowledge is the simultaneous modeling of signals transmitted through the tissue and signals reflected
from the tissue to estimate these tissue properties. Combining transmission and reflection information from an
ultrasound tomography system will enable accurate estimation of difficult-to-measure tissue properties such as
the mass density. Furthermore, the addition of reflection information may enable tissue characterization in
acoustically challenging cases where transmission information is less reliable (e.g., transmission through bone,
partial angle tomography). I propose to improve the robustness of ultrasound transmission tomography
by incorporating reflection information and enable the estimation of mass density.
In order to expand the capabilities of the ultrasound tomography system I aim to: extend transmission
tomography to three dimension in order account for out-of-plane scattering (Aim 1); develop algorithms to
simultaneously reconstruct the sound speed, acoustic attenuation, and mass density of tissue using the
complete transmission and reflection information acquired by an ultrasound tomography system (Aim 2); and
develop sound speed reconstruction algorithms solely based on the reflected ultrasound signal, which will also
benefit the applications of handheld pulse-echo ultrasound (Aim 3). These aims will improve our understanding
of acoustic models applicable to ultrasound signals in both transmission and reflection as well as how these
models may be inverted to reconstruct accurate and spatially resolved images of tissue properties. Expanding
the tissue characterization capabilities of ultrasound tomography will enable a multi-parametric approach for
the detection and characterization of breast cancer using a non-ionizing radiation imaging modality. Improving
the robustness of ultrasound tomography in acoustically challenging cases will also enable cancer detection
outside of the breast and may further enable detection of breast cancer metastasis. The proposed work will
broadly benefit the ultrasound imaging field by improving our tissue modeling and characterization capabilities
and enabling the early detection of disease based on acoustic tissue properties.
项目摘要/摘要
乳腺癌是美国女性中诊断最多的癌症,也是最常见的
根据世界卫生组织的数据,癌症在全球范围内发生。猪瘟初筛方法的研究
不可触及的乳腺癌是X光乳房X光检查,它使用电离辐射,通常低
对致密乳房的敏感性和特异性。超声断层扫描为X射线提供了一种低成本的替代方法
乳房X光检查,可以根据乳房的声学特性对其进行成像,并能够早期发现癌症
和诊断,同时避免电离辐射的潜在有害影响。目前,超声波
乳房的断层扫描通常主要依赖于超声波通过组织传输到
重建基本的组织属性,如声速和衰减。然而,一个显著的差距是,
我们的知识是同时对通过组织传输的信号和反射的信号进行建模
从组织中估计这些组织属性。组合来自
超声断层成像系统将能够准确地估计难以测量的组织特性,如
质量密度。此外,添加反射信息可以使组织表征在
在传输信息不太可靠的情况下具有声学挑战性的情况(例如,通过骨传输,
部分角度层析成像)。我建议提高超声透射层析成像的稳健性。
通过结合反射信息并能够估计质量密度。
为了扩展超声断层成像系统的能力,我的目标是:扩展传输
三维层析成像以解决平面外散射(目标1);开发算法以
同时重建组织的声速、声衰减和质量密度
超声层析成像系统获得的完整传输和反射信息(目标2);以及
开发仅基于反射超声信号的声速重建算法,这也将
有利于手持式脉冲回波超声的应用(目标3)。这些目标将提高我们的理解
适用于超声信号的传输和反射的声学模型以及这些模型如何
可以对模型进行倒置,以重建精确的和空间分辨率的组织属性图像。正在扩张
超声断层成像的组织表征能力将使多参数方法能够
使用非电离辐射成像方式的乳腺癌的检测和特征。改进
超声波断层扫描在具有声学挑战性的情况下的健壮性也将使癌症检测成为可能
并可进一步检测乳腺癌的转移情况。拟议的工作将
通过改进我们的组织建模和表征能力,使超声成像领域受益匪浅
并且使得能够基于声学组织特性来早期检测疾病。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Rehman Ali其他文献
Rehman Ali的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
相似海外基金
Nonlinear Acoustics for the conditioning monitoring of Aerospace structures (NACMAS)
用于航空航天结构调节监测的非线性声学 (NACMAS)
- 批准号:
10078324 - 财政年份:2023
- 资助金额:
$ 6.91万 - 项目类别:
BEIS-Funded Programmes
ORCC: Marine predator and prey response to climate change: Synthesis of Acoustics, Physiology, Prey, and Habitat In a Rapidly changing Environment (SAPPHIRE)
ORCC:海洋捕食者和猎物对气候变化的反应:快速变化环境中声学、生理学、猎物和栖息地的综合(蓝宝石)
- 批准号:
2308300 - 财政年份:2023
- 资助金额:
$ 6.91万 - 项目类别:
Continuing Grant
University of Salford (The) and KP Acoustics Group Limited KTP 22_23 R1
索尔福德大学 (The) 和 KP Acoustics Group Limited KTP 22_23 R1
- 批准号:
10033989 - 财政年份:2023
- 资助金额:
$ 6.91万 - 项目类别:
Knowledge Transfer Partnership
User-controllable and Physics-informed Neural Acoustics Fields for Multichannel Audio Rendering and Analysis in Mixed Reality Application
用于混合现实应用中多通道音频渲染和分析的用户可控且基于物理的神经声学场
- 批准号:
23K16913 - 财政年份:2023
- 资助金额:
$ 6.91万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Combined radiation acoustics and ultrasound imaging for real-time guidance in radiotherapy
结合辐射声学和超声成像,用于放射治疗的实时指导
- 批准号:
10582051 - 财政年份:2023
- 资助金额:
$ 6.91万 - 项目类别:
Comprehensive assessment of speech physiology and acoustics in Parkinson's disease progression
帕金森病进展中言语生理学和声学的综合评估
- 批准号:
10602958 - 财政年份:2023
- 资助金额:
$ 6.91万 - 项目类别:
The acoustics of climate change - long-term observations in the arctic oceans
气候变化的声学——北冰洋的长期观测
- 批准号:
2889921 - 财政年份:2023
- 资助金额:
$ 6.91万 - 项目类别:
Studentship
Collaborative Research: Estimating Articulatory Constriction Place and Timing from Speech Acoustics
合作研究:从语音声学估计发音收缩位置和时间
- 批准号:
2343847 - 财政年份:2023
- 资助金额:
$ 6.91万 - 项目类别:
Standard Grant
Flow Physics and Vortex-Induced Acoustics in Bio-Inspired Collective Locomotion
仿生集体运动中的流动物理学和涡激声学
- 批准号:
DGECR-2022-00019 - 财政年份:2022
- 资助金额:
$ 6.91万 - 项目类别:
Discovery Launch Supplement
Collaborative Research: Estimating Articulatory Constriction Place and Timing from Speech Acoustics
合作研究:从语音声学估计发音收缩位置和时间
- 批准号:
2141275 - 财政年份:2022
- 资助金额:
$ 6.91万 - 项目类别:
Standard Grant