Large aperture and wideband modular ultrasound arrays for the diagnosis of liver cancer
Large aperture and wideband modular ultrasound arrays for the diagnosis of liver cancer
批准号:
9670434
负责人:
Katherine W Ferrara
金额:
$55.11万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-03-08 至 2022-02-28
关键词:
AbdomenAcousticsAddressAmericanAreaBuffersCirrhosisClinicalCommunitiesComputer softwareCrystallizationDataDetectionDevelopmentDiagnosisDimensionsElectronicsElementsFrequenciesFutureGeneral PopulationGeometryGoalsHeightHome environmentImageImage EnhancementImageryIndividualIndustryLateralLeadLesionLiverLiver diseasesLiver neoplasmsMalignant NeoplasmsMalignant neoplasm of liverManufacturer NameMethodsMonitorObesityOverweightPatientsPhasePopulationPrimary Malignant Neoplasm of LiverProcessResearchResolutionScreening for Hepatocellular CancerScreening procedureSignal TransductionStructureSurvival RateSystemTechniquesTechnologyTemperatureThickTissuesTransducersUltrasonic TransducerUltrasonicsUltrasonographyUniversitiesVirus DiseasesWidthWorkabdominal wallbasecancer riskcontrast imagingdata accessdesignexperienceflexible electronicshuman studyimprovedin vivointerestnovelopen sourcepreventprogramsprototypescreeningsignal processingtransmission processvoltage
中文摘要
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英文摘要
Our project has two fundamental goals: 1) develop modular large aperture, high channel count arrays with
associated electronics and make these modules widely available to the academic community, and 2) use these
arrays to improve abdominal ultrasound (US) for the diagnosis of liver cancer, particularly for difficult to image
patients. The overall 5-year relative survival rate for patients with primary liver cancer is 16%. In many cases,
imaging is used to monitor liver disease resulting from viral infections or cirrhosis and to detect a transition to
malignancy, and ultrasound is the only recommended method for screening such patients at risk for cancer.
Yet, in patients with an abdominal wall thickness greater than 2.5 cm, only 33% of lesions were detected. More
than 2/3 of Americans are now overweight or obese and larger channel count arrays and larger array footprints
will improve imaging within this population as well as improving the detection of small lesions in the general
population. Our approach addresses improved resolution (large aperture and bandwidth), sensitivity (single
crystal transducers), high frame rate for super-resolution imaging (hundreds of frame/sec feasible), yield (array
is composed of high yield modules), and image contrast (new switching capabilities enable new beamformation
methods). Lateral US resolution is inversely proportional to the transducer aperture and consequently,
improved resolution requires an increased number of transducer elements and electronic channels as well as
advanced beam formation methods. Even in the presence of aberrating tissues we show that the contrast
achieved from an extended aperture facilitates the visualization of small structures. We propose to create PIN-
PMN-PT array modules of dimension 16 elements (azimuth) by 32 elements (elevation) which will be combined
to form large arrays. The user selectable ASIC matrices provide the opportunity to select: 512 elements from
within a single module, to combine mirrored elements in elevation or to combine neighboring elements in
azimuth or elevation. As a result, 4096 elements within the large aperture array can simultaneously be
addressed from a programmable scanner. Our specific aims span the development of the large area array
technology, the integration of that technology to create large area concave arrays adapted for abdominal
imaging and the use of the resulting technology to detect liver cancer. Preliminary work has resulted in the
fabrication of prototype array and ASIC modules. The UC Davis team has been one of the first to produce
multi-frequency arrays; USC has pioneered high frequency arrays and is currently home to Wodnicki (20 years
of experience in ultrasound ASIC development at GE) and will collaborate with us on the development of high
channel count arrays; Duke University has pioneered the development of strategies to use large apertures;
Verasonics is the leading manufacturer of programmable ultrasound systems and will work with us to develop
the technology and to distribute it to the ultrasound community. This unique team will develop the technology,
evaluate its use in a human study and will disseminate the technology.
期刊论文(0)
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会议论文
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批准号:10739411
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资助金额:$55.83万
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财政年份:2023
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Imaging Modulation of Immune Phenotype
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批准号:10113064
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资助金额:$66.95万
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Quantitative volumetric ultrasonic and photoacoustic tomography
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批准号:10374704
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资助金额:$61.98万
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财政年份:2021
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依托单位:
Imaging Modulation of Immune Phenotype
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批准号:10334545
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资助金额:$64.14万
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财政年份:2021
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依托单位:
Quantitative volumetric ultrasonic and photoacoustic tomography
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批准号:10541211
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项目类别:
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资助金额:$60.91万
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财政年份:2021
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依托单位:
HIFU-immunotherapy in pancreatic cancer
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批准号:10654577
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项目类别:
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资助金额:$60.8万
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财政年份:2020
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依托单位:
HIFU-immunotherapy in pancreatic cancer
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批准号:10425306
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项目类别:
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资助金额:$61.71万
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财政年份:2020
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负责人:Katherine W Ferrara
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依托单位:
HIFU-immunotherapy in pancreatic cancer
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批准号:10054764
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项目类别:
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资助金额:$64.81万
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财政年份:2020
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依托单位:
HIFU-immunotherapy in pancreatic cancer
-
批准号:10202535
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项目类别:
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资助金额:$64.28万
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财政年份:2020
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依托单位:
In vivo PET imaging of novel engineered AAVs informs capsid design
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项目类别:
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资助金额:$68.54万
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财政年份:2019
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依托单位:
In vivo PET imaging of novel engineered AAVs informs capsid design
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项目类别:
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资助金额:$67.84万
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财政年份:2019
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负责人:Katherine W Ferrara
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依托单位:
Large aperture and wideband modular ultrasound arrays for the diagnosis of liver cancer
-
批准号:9332693
-
项目类别:
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资助金额:$66.74万
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财政年份:2017
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负责人:Katherine W Ferrara
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依托单位:
Large aperture and wideband modular ultrasound arrays for the diagnosis of liver cancer
-
批准号:10091308
-
项目类别:
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资助金额:$64.96万
-
财政年份:2017
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负责人:Katherine W Ferrara
-
依托单位:
Image-guided ultrasound therapy and drug delivery in pancreatic cancer
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批准号:9195593
-
项目类别:
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资助金额:$63.65万
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财政年份:2016
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负责人:Katherine W Ferrara
-
依托单位:
Optimized ultrasound-enhanced immunotherapy
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批准号:9086294
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项目类别:
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资助金额:$49.98万
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财政年份:2015
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负责人:Katherine W Ferrara
-
依托单位:
Optimized ultrasound-enhanced immunotherapy
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批准号:8971556
-
项目类别:
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资助金额:$49.83万
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财政年份:2015
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负责人:Katherine W Ferrara
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依托单位:
Image-based analysis of miRNA delivery
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批准号:8782295
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项目类别:
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资助金额:$79.25万
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财政年份:2014
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负责人:Katherine W Ferrara
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依托单位:
海外基金