Multi-Contrast X-ray Breast Imaging
多对比 X 射线乳腺成像
基本信息
- 批准号:9029087
- 负责人:
- 金额:$ 39.76万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-01-01 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAmerican College of Obstetricians and GynecologistsBreastBreast Cancer DetectionBreast Cancer Early DetectionBreast MicrocalcificationCadaverCalcifiedCancer DetectionCharacteristicsClinicalClinical ResearchClinical TrialsConsensusData SetDetectionDigital Breast TomosynthesisDigital MammographyDiseaseDoseEvaluationFDA approvedGoldHealth Care CostsImageImageryImaging technologyMalignant NeoplasmsMammary Gland ParenchymaMammographyMethodsNatureNeoplasm MetastasisNormal tissue morphologyOutcomePerformancePhasePhotonsPhysical PerformancePhysiciansProcessPropertyProtocols documentationRadiationRandomized Controlled TrialsReadingResearchResolutionRiskRoentgen RaysScreening ResultSensitivity and SpecificityStagingSystemTechniquesWomanabsorptionbasebreast cancer diagnosisbreast imagingcancer diagnosiscone-beam computed tomographycontrast imagingdata acquisitiondesigndigitalimage reconstructionimaging modalityimaging systemimprovedmalignant breast neoplasmnovelprototypepublic health relevancequantitative imagingscreeningsoft tissuetwo-dimensional
项目摘要
DESCRIPTION (provided by applicant): Breast cancer is the most common cancer among women today. The best current strategy is to detect and treat breast cancer early, before the cancer has a chance to metastasize. Conventional x-ray mammography remains the most commonly used imaging method for early breast cancer detection. However, the sensitivity and specificity are limited in x-ray mammography largely due to its two-dimensional (2D) nature and the consequent structural overlapping. This limitation is exacerbated for radiologically dense breasts in which normal tissue may obscure a cancer. Despite the fact that tremendous progress has been made to improve the detection of cancer masses and of microcalcifications by the introduction of digital breast tomosynthesis and dedicated breast cone- beam CT, one common limitation remains in all current x-ray methods: both breast cancer detection tasks depend on a single x-ray absorption contrast mechanism. The optimal detection performances of these two detection tasks often have competing requirements on spatial resolution and radiation dose. As a result, the performance of both detection tasks is somewhat compromised. The overall objective of this proposal is to develop a multi-contrast x-ray digital mammography and digital breast tomosynthesis imaging system to improve breast cancer detection for women with dense breasts. In this new imaging system, the current absorption-based digital mammography and DBT imaging capability will be maintained with the addition of two supplemental contrast mechanisms: the first utilizes a contrast mechanism based on the x-ray refraction property in soft tissue and permits improved visualization of low contrast masses. The detection of microcalcifications can be accomplished by another concomitant novel x-ray dark field contrast mechanism. Note that all three types of images, viz., absorption image, phase contrast image, and dark field image, are generated from a single data acquisition. Given the fact that the current clinical DBT imaging system enables one to acquire both digital mammography and DBT images, the proposed multi-contrast breast imaging system will be constructed by incorporating an x-ray Talbot-Lau grating interferometer into one of these systems. Novel image reconstruction, processing, and display methods will be developed to help physicians extract the most valuable information from the multi-contrast mammography and DBT images. There are four primary specific aims in this proposal: (1) Optimize and fabricate grating interferometer for the multi-contrast breast imaging system; (2) Integrate gratings into the current clinical DBT systems and perform an experimental characterization of physical performance; (3) Perform quantitative imaging performance assessment and optimize imaging protocols; (4) Perform initial clinical performance evaluation of the multi-contrast imaging system. Upon the completion of this project, the first clinical prototype multi-contrast system will have been constructed for clinical studies. The disease signatures in the acquired multi-contrast DBT images will be understood, and the system will be ready for clinical trial studies in the next stage of the project.
描述(申请人提供):乳腺癌是当今女性最常见的癌症。目前最好的策略是及早发现和治疗乳腺癌,在癌症有机会转移之前。传统的X光乳房X光照相仍然是早期乳腺癌最常用的成像方法。然而,由于其二维(2D)性质和由此产生的结构重叠,其敏感性和特异性在很大程度上受到X光乳房摄影的限制。这一限制对于放射致密的乳房来说更是雪上加霜,在这些乳房中,正常组织可能会掩盖癌症。尽管随着数字化乳腺断层扫描和专用乳腺锥束CT的引入,在改善癌症肿块和微钙化的检测方面已经取得了巨大的进步,但目前所有的X射线方法仍然存在一个共同的局限性:这两种乳腺癌检测任务都依赖于单一的X射线吸收对比剂机制。这两种探测任务的最佳探测性能往往对空间分辨率和辐射剂量有相互竞争的要求。结果,这两个检测任务的性能在某种程度上受到影响。这项提案的总体目标是开发一种多对比X射线数字乳房X光摄影和数字乳房断层合成成像系统,以提高对乳房致密的女性的乳腺癌检测。在这个新的成像系统中,通过增加两个补充的对比度机制,将保持当前基于吸收的数字乳房X光摄影和DBT成像能力:第一个利用基于软组织中的X射线折射特性的对比度机制,并允许改善低对比度肿块的可视化。微钙化的检测可以通过另一种伴随的新的X射线暗场对比机制来完成。注意,所有三种类型的图像,即吸收图像、相位对比度图像和暗场图像,都是从单个数据采集中产生的。鉴于目前的临床DBT成像系统能够同时获取数字乳房X光摄影和DBT图像,建议的多对比度乳腺成像系统将通过在其中一个系统中集成X射线Talbot-Lau光栅干涉仪来构建。将开发新的图像重建、处理和显示方法,以帮助医生从多对比乳房X光摄影和DBT图像中提取最有价值的信息。该方案有四个主要的具体目标:(1)优化和制作适用于多对比度乳腺成像系统的光栅干涉仪;(2)将光栅集成到现有的临床DBT系统中,并进行物理性能的实验表征;(3)进行定量成像性能评估和成像方案优化;(4)对多对比度成像系统进行初步的临床性能评估。该项目完成后,将建造第一个临床原型多对比系统,用于临床研究。获得的多对比DBT图像中的疾病特征将被理解,该系统将为该项目下一阶段的临床试验研究做好准备。
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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Guang-Hong Chen其他文献
Guang-Hong Chen的其他文献
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{{ truncateString('Guang-Hong Chen', 18)}}的其他基金
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10660754 - 财政年份:2023
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Clinical Translation of a One-Stop-Shop Imaging Method for Abdominal CT
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10522078 - 财政年份:2022
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$ 39.76万 - 项目类别:
Clinical Translation of a One-Stop-Shop Imaging Method for Abdominal CT
腹部 CT 一站式成像方法的临床转化
- 批准号:
10686103 - 财政年份:2022
- 资助金额:
$ 39.76万 - 项目类别:
Functional Lung Imaging Using a Single kV CT Acquisition
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Functional Lung Imaging Using a Single kV CT Acquisition
使用单 kV CT 采集进行功能性肺部成像
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10212057 - 财政年份:2021
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$ 39.76万 - 项目类别:
Functional Lung Imaging Using a Single kV CT Acquisition
使用单 kV CT 采集进行功能性肺部成像
- 批准号:
10667565 - 财政年份:2021
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$ 39.76万 - 项目类别:
Multi-Contrast Chest Radiography (MC-CXR) for COVID-19 Diagnosis and Screening
用于 COVID-19 诊断和筛查的多重对比胸部 X 光检查 (MC-CXR)
- 批准号:
10160566 - 财政年份:2020
- 资助金额:
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One Stop Shop Imaging for Acute Ischemic StrokeTreatment
急性缺血性中风治疗的一站式成像
- 批准号:
9150568 - 财政年份:2015
- 资助金额:
$ 39.76万 - 项目类别:
One Stop Shop Imaging for Acute Ischemic StrokeTreatment
急性缺血性中风治疗的一站式成像
- 批准号:
8998333 - 财政年份:2015
- 资助金额:
$ 39.76万 - 项目类别:
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