Analyzer-based Phase-Contrast Orthopedic Imaging
Analyzer-based Phase-Contrast Orthopedic Imaging
批准号:
10269477
负责人:
Jovan G Brankov
金额:
$14.15万
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-07-15 至 2022-03-31
关键词:
Accident and Emergency departmentAcuteAdministrative SupplementAmericanArthralgiaBone InjuryBusinessesCaringClinicalContrast MediaCrystallizationDevelopmentDiagnostic radiologic examinationElementsEvaluationFutureGoalsGrantIllinoisImageImaging DeviceImaging technologyIndustry StandardInjuryInstitutesInstitutional Review BoardsJointsJournalsLaboratoriesLegal patentLigamentsMagnetic Resonance ImagingMammographic screeningMediationMethodsModalityMotivationMuscleMusculoskeletal DiseasesOffice VisitsOperative Surgical ProceduresOrthopedic SurgeryOrthopedicsOutpatientsOutputPatientsPerformancePhasePhysiciansPhysicsPrimary Health CareProcessPublicationsRadiation Dose UnitReaderReportingRoentgen RaysScanningScheduleSoft Tissue InjuriesSpecimenStructureSurgeonSynchrotronsSystemTechnologyTendon structureTestingThumb structureTimeTissue imagingUltrasonographyVisitVisualizationWorkX-Ray Computed Tomographybasebreast imagingclinical decision-makingclinical developmentclinical imagingclinically significantcontrast imagingcostdesigndetectorexperimental studyfollow-upfootimaging modalityimaging studyimaging systemimprovedin vivoparent grantprogramsprototyperadiologistrapid diagnosissoft tissueurgent care
中文摘要
建议的项目涉及基于分析器的相位对比的评价
影像学(ABI),用于骨科影像学。ABI是一种使用X射线折射的模式,
在软组织的成像方面产生显著的改进。ABI一直很好
在同步加速器设备上产生非凡的图像。我们有
我们开发了一种突破性的方法,现在已经包含在我们的全尺寸原型中,
在10秒内传送图像。该原型设计用于乳房成像。的目标
拟议的项目补编将在一项专家读者研究中评价其产出,
矫形成像应用,并评估系统成本是否可以降低。ABI
成像提供了许多重要的潜在益处:1)ABI具有非常高的固有软,
组织图像对比度由于X射线折射和强散射抑制的物理特性,
有望提供骨结构以及软组织的清晰可视化,
包括肌肉、韧带和肌腱; 2)目前ABI是一种平面成像方法
类似于放射摄影,但也可用于计算机断层扫描(CT)模式; 3)ABI具有
无需注射造影剂; 4)ABI有可能降低辐射剂量; 5)
在ABI中看到的图像细节可能最终消除对CT或MRI成像的需要。
本补编的主要内容将确定项目的具体目标如下:1.
使用expert使用离体足和拇指标本评估现有成像系统
整形外科医生和放射科医生。2)通过评估系统成本是否较小,
(因此更便宜的)检测器和晶体可以被使用而不降低性能。
英文摘要
The proposed project concerns with evaluation of an analyzer-based phase contrast
imaging (ABI), for orthopedic imaging. ABI is a modality that uses x-ray refraction to
produce dramatic improvements in imaging of the soft tissues. ABI has been well
documented to produce extraordinary images at synchrotron facilities. We have
developed a breakthrough approach, now included into our full scale prototype that can
deliver images under 10sec. This prototype is design for breast imaging. The goal of the
proposed project supplement will be to evaluate its output in an expert reader study for
orthopedic imaging application and also assess if the system cost can be reduced. ABI
imaging offers many important potential benefits: 1) ABI has very high inherent soft-
tissue image contrast due to the physics of x-ray refraction and strong scatter rejection,
promising to provide clear visualization of bonnie structure as well as soft tissue which
includes muscles, ligament and tendons; 2) currently ABI is a planar-imaging method
like radiography, but can also be used in computed tomography (CT) modes; 3) ABI has
no need for injected contrast agent; 4) ABI has potential to reduce radiation dose; 5) the
image detail seen in ABI may ultimately eliminate the need follow CT or MRI imaging.
The main elements in this supplement will define the project's specific aims as follows: 1.
Evaluate existing imaging system using ex vivo foot and thumb specimens using expert
orthopedic surgeons and radiologist. 2) Optimize system cost by evaluating if a smaller
(therefore cheaper) detector and crystals can be used without performance reduction.
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DOI:
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发表时间:
2019
期刊:
Journal of biomedical optics
影响因子:
3.5
作者:
[Torres,VeronicaC, Li,Chengyue, He,Yusheng, Sinha,Lagnojita, Papavasiliou,Georgia, Sattar,HusainA, Brankov,JovanG, Tichauer,KennethM]
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Tichauer,KennethM
DOI:
10.1109/tbme.2020.3020741
发表时间:
2021-06
期刊:
IEEE transactions on bio-medical engineering
影响因子:
--
作者:
[Sidky EY, Lorente I, Brankov JG, Pan X]
通讯作者:
Pan X
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DOI:
10.1364/ol.41.003225
发表时间:
2016
期刊:
Optics letters
影响因子:
3.6
作者:
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通讯作者:
Tichauer,KennethM
Deep Learning Based Model Observer by U-Net.
U-Net 基于深度学习的模型观察器。
DOI:
10.1117/12.2549687
发表时间:
2020
期刊:
Proceedings of SPIE--the International Society for Optical Engineering
影响因子:
--
作者:
[Lorente,Iris, Abbey,CraigK, Brankov,JovanG]
通讯作者:
Brankov,JovanG
Analyzer-based Phase Contrast Imaging System Development and Evaluation
-
批准号:9906224
-
项目类别:
-
资助金额:$49.89万
-
财政年份:2018
-
负责人:Jovan G Brankov
-
依托单位:
New Class of Numerical Observers for Nuclear Cardiology
-
批准号:7837005
-
项目类别:
-
资助金额:$22.95万
-
财政年份:2009
-
负责人:Jovan G Brankov
-
依托单位:
New Class of Numerical Observers for Nuclear Cardiology
-
批准号:8037095
-
项目类别:
-
资助金额:$41.72万
-
财政年份:2008
-
负责人:Jovan G Brankov
-
依托单位:
New Class of Numerical Observers for Nuclear Cardiology
-
批准号:8234040
-
项目类别:
-
资助金额:$42.44万
-
财政年份:2008
-
负责人:Jovan G Brankov
-
依托单位:
New Class of Numerical Observers for Nuclear Cardiology
-
批准号:7769507
-
项目类别:
-
资助金额:$42.03万
-
财政年份:2008
-
负责人:Jovan G Brankov
-
依托单位:
New Class of Numerical Observers for Nuclear Cardiology
-
批准号:7585774
-
项目类别:
-
资助金额:$41.1万
-
财政年份:2008
-
负责人:Jovan G Brankov
-
依托单位:
海外基金