Improved Image Quality of Focal Liver Lesions Using the Coherence of Ultrasound
利用超声相干性提高局灶性肝脏病变的图像质量
基本信息
- 批准号:8503533
- 负责人:
- 金额:$ 31.51万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-06-15 至 2017-05-31
- 项目状态:已结题
- 来源:
- 关键词:AbdomenAnatomyBiopsyCharacteristicsClinical ResearchComputer softwareDataDetectionDevelopmentDiagnosisFaceHepatic MassHumanHybridsImageImageryImaging DeviceImaging TechniquesIndividualIonizing radiationLesionLiverMalignant neoplasm of liverMeasuresMethodsModelingNamesNeedle biopsy procedureNoiseObesityOverweightPatientsPerformancePhasePilot ProjectsPrimary carcinoma of the liver cellsProceduresProcessPropertyResolutionSourceSumSystemSystems AnalysisTechniquesTestingTheoretical modelTimeTissuesTransducersUltrasonicsUltrasonographyWeightbasecostimaging modalityimprovedin vivoliver biopsynovelpublic health relevancesimulationsoundsuccesstooltwo-dimensional
项目摘要
DESCRIPTION (provided by applicant): Poor ultrasonic image quality is a significant problem for overweight and obese individuals. Often, these individuals receive poor quality and indeterminate diagnoses, which delay treatment. In addition, these individual may be referred to other imaging procedures that may increase costs and expose the patient to invasive procedures or ionizing radiation. We have developed a new ultrasonic imaging method, called Short-Lag Spatial Coherence (SLSC) imaging that has the ability to reduce acoustical noise and greatly improve the quality of ultrasonic images. We present preliminary data that demonstrates the success of this technique in human livers. In this application, we propose to build a real-time
SLSC imaging system and analyze its characteristics with tissue-mimicking phantoms. In addition, we will build a harmonic version of this imaging technique, called Harmonic Spatial Coherence Imaging (HSCI) that improves clutter suppression and resolution of the imaging system. We also propose to develop the theoretical principles that describe this imaging technique, and will use these theoretical models to aid our development of more sophisticated versions of the proposed technique. We propose clinical studies in high BMI individuals undergoing ultrasound-guided percutaneous biopsies of focal liver lesions to evaluate the potential of this technique in improving the detection and characterization of those lesions.
描述(申请人提供):超声图像质量差是超重和肥胖者的一个重要问题。通常,这些患者得到的诊断质量很差,而且诊断不明确,从而延误了治疗。此外,这些人可能会被转介到其他可能增加成本并使患者暴露于侵入性程序或电离辐射中的成像程序。我们开发了一种新的超声成像方法,称为短滞后空间相干成像(SLSC),它具有降低声学噪声的能力,大大提高了超声图像的质量。我们提供了初步数据,证明了这项技术在人体肝脏上的成功。在此应用程序中,我们建议构建一个实时
SLSC成像系统,并用模拟组织体模分析其特性。此外,我们将构建这种成像技术的谐和版本,称为谐波空间相干成像(HSCI),它可以提高成像系统的杂波抑制和分辨率。我们还建议开发描述这种成像技术的理论原理,并将使用这些理论模型来帮助我们开发更复杂的拟议技术版本。我们建议对接受超声引导下经皮肝脏局灶性病变活检的高BMI个体进行临床研究,以评估该技术在改善这些病变的检测和特征方面的潜力。
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(3)
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Jeremy Dahl其他文献
Jeremy Dahl的其他文献
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{{ truncateString('Jeremy Dahl', 18)}}的其他基金
B7-H3 Targeted Ultrasound Molecular Imaging System for Early Breast Cancer and Metastatic Detection
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Serial Ultrasound to Detect Early Response to Immunotherapy in Metastatic RCC
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Serial Ultrasound to Detect Early Response to Immunotherapy in Metastatic RCC
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- 批准号:
10589070 - 财政年份:2022
- 资助金额:
$ 31.51万 - 项目类别:
Improving Liver Ultrasound Image Quality in Difficult-to-Image Patients
提高难以成像患者的肝脏超声图像质量
- 批准号:
10410471 - 财政年份:2020
- 资助金额:
$ 31.51万 - 项目类别:
Improving Liver Ultrasound Image Quality in Difficult-to-Image Patients
提高难以成像患者的肝脏超声图像质量
- 批准号:
9885175 - 财政年份:2020
- 资助金额:
$ 31.51万 - 项目类别:
Early therapeutic monitoring of response to therapy with serial ultrasound in metastatic RCC
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- 批准号:
10046819 - 财政年份:2020
- 资助金额:
$ 31.51万 - 项目类别:
Improving Liver Ultrasound Image Quality in Difficult-to-Image Patients
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10634660 - 财政年份:2020
- 资助金额:
$ 31.51万 - 项目类别:
Therapeutic miRNA Modulation of Hepatocellular Carcinoma Using Ultrasound Guided Drug Delivery
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- 批准号:
9299022 - 财政年份:2017
- 资助金额:
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Therapeutic miRNA Modulation of Hepatocellular Carcinoma Using Ultrasound Guided Drug Delivery
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9893823 - 财政年份:2017
- 资助金额:
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High Sensitivity Molecular Ultrasound Imaging in Pancreatic Cancer
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- 批准号:
9302759 - 财政年份:2016
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$ 31.51万 - 项目类别:
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