Ultrasound clutter and noise improvements applied to echocardiographic left atrial appendage visualization
Ultrasound clutter and noise improvements applied to echocardiographic left atrial appendage visualization
批准号:
10687839
负责人:
Brett C Byram
金额:
$56.51万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-09-01 至 2025-08-31
关键词:
AcousticsAddressAlgorithmsAmericanAtrial FibrillationChestChronicClinicalClutteringsCodeConsumptionDataDevelopmentDevicesDiagnosisDiagnosticEchocardiographyElectric CountershockEnsureEsophagusExclusionFailureGoalsHealthcare SystemsHeartHeart AtriumHeart DiseasesImageIncidenceLeftLeft atrial structureLengthLinkMagnetic Resonance ImagingMeasuresMethodsModalityModelingMonitorNatureNoisePatientsPenetrationPerformancePhysiciansPlayProceduresRoleSafetySchemeSensitivity and SpecificitySignal TransductionSinusSound LocalizationSourceSpeedTestingThrombusTimeTrainingTransesophageal EchocardiographyUltrasonicsUltrasonographyUnited StatesVariantVisualizationWorkappendageauricular appendageclinical translationclinically relevantcostdeep neural networkflexibilityimaging modalityimaging studyimplantable deviceimprovedin silicoin vivoinnovationinsightmonitoring deviceradiological imagingreconstructionscreeningsecond harmonicskillsstandard of caresuccesstooltransmission processultrasound
中文摘要
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英文摘要
Summary
Ultrasonic imaging is the most widely used advanced imaging modality in the United States, and excluding
planar radiography, it represents 44% of all imaging studies. Unfortunately, ultrasound images are often subopti-
mal, and some echocardiography studies show degradation in up to 98% of patients. This rate of degradation and
the freehand nature of clinical ultrasound means that image quality is more dependent on operator skill than other
advanced modalities, but even with the most skilled practitioners, ultrasound completely fails in 11-64% of clinical
tasks. Our overall goal for this application is to fundamentally decrease ultrasound failure rates. Low-quality
ultrasound is particularly problematic in echocardiography because of its role as a first-line tool for diagnosing
and monitoring cardiac disease. When transthoracic echo is inadequate more costly and time-consuming exams
like transesophageal echo or MRI are required. To (1) facilitate the high volumes of transthoracic echo, (2) im-
prove patient comfort and safety (i.e. reduce transesophageal echo), (3) reduce cost and procedure time, and (4)
maximize physician efficiency, it is crucial to have consistently high quality transthoracic echo. To provide this, we
introduce new acquisition and reconstruction solutions for ultrasound imaging.
Echocardiographic imaging of the left atrial appendage is growing in importance in lockstep with the rising
incidence of atrial fibrillation, which currently effects as many as 2-6 million Americans and is expected to grow
to 6-12 million by 2050. In patients with atrial fibrillation, thrombus may appear in as many as 12-26% of left
atria with most appearing in the appendage. Therefore, in patients with current atrial fibrillation the left atrial
appendage must be screened with echocardiography for thrombus before cardioversion can be performed to
return the heart to sinus rhythm. Further, patients receiving a left atrial appendage closure device due to chronic
atrial fibrillation require annual transesophageal echo follow ups to monitor the device. For both cases, the gold-
standard and standard-of-care is transesophageal echocardiography, and while the left atrial appendage can be
visualized transthoracically, is is rarely used because the image quality is considered too unreliable.
Ultrasound image quality is degraded by both clutter and thermal noise, so to make clinically transforma-
tional improvements to ultrasound–and echocardiography specifically–it is necessary to address both the clutter
problem and the noise problem. Addressing both of these issues is becoming increasingly important because
recent developments in beamforming have focused on non-linear algorithms (including deep networks), and the
performance of these methods are more strongly linked to the noise level compared to conventional beamforming
methods. To this end, we introduce both a solution enhancing signal-to-noise ratio using coded excitation and a
comprehensive solution for clutter reduction using deep network beamforming.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1109/tuffc.2023.3289157
发表时间:
2023
期刊:
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
影响因子:
--
作者:
[Schlunk,Siegfried, Byram,BrettC]
通讯作者:
Byram,BrettC
DOI:
10.1016/j.ultras.2023.106952
发表时间:
2023-02-14
期刊:
ULTRASONICS
影响因子:
4.2
作者:
[Schlunk,Siegfried, Hsi,Ryan, Byram,Brett]
通讯作者:
Byram,Brett
Ultrasound clutter and noise improvements applied to echocardiographic left atrial appendage visualization
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批准号:10299361
-
项目类别:
-
资助金额:$64.92万
-
财政年份:2021
-
负责人:Brett C Byram
-
依托单位:
Suppression and Analysis of Ultrasonic Clutter During Liver Focal Lesion Biopsy
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批准号:9030863
-
项目类别:
-
资助金额:$32.67万
-
财政年份:2016
-
负责人:Brett C Byram
-
依托单位:
海外基金