Retinal image analysis software for neurodegenerative disease research
Retinal image analysis software for neurodegenerative disease research
批准号:
10363757
负责人:
Daniel Russakoff
金额:
$62.68万
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:
2017-02-01 至 2023-02-28
关键词:
AffectAlzheimer&aposs DiseaseAmericanAngiographyArchitectureArchivesAreaAwardBackCaringClinicClinicalClinical DataClinical ResearchClinical TrialsCommunicationComputer softwareCustomDataData PoolingData SetDatabasesDevelopmentDevicesDiabetic RetinopathyDigital Imaging and Communications in MedicineDiseaseDisease ManagementDisease OutcomeGlaucomaGoalsImageImage AnalysisImageryInformation StorageLeadLiquid substanceLocationManufacturer NameModalityNeurodegenerative DisordersNeurologicOcular PathologyOnline SystemsOphthalmologistOphthalmologyOptical Coherence TomographyOptometristParkinson DiseasePatient-Focused OutcomesPatientsPhasePicture Archiving and Communication SystemRadiologic Picture ArchivingRadiology SpecialtyResearchResearch PersonnelRetinaSafetyScanningSecureSecuritySpeedStandardizationSystemSystemic diseaseSystems AnalysisTelemedicineTestingVendorVisualizationWorkbasecloud basedcostdata formatdesigndisease prognosticdrug developmentimage archival systemimprovedinformation processinginnovationinsightinstrumentinterestinteroperabilitylongitudinal analysisnebulanext generationpatient health informationprognosticquality assuranceradiologistresearch and developmentretinal imagingsearch enginesegmentation algorithmsoftware systemsstandard of caretoolweb app
中文摘要
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英文摘要
Ophthalmic imaging is of critical importance to ocular disease management and, increasingly, as a window to
neurodegenerative and systemic diseases. Optical coherence tomography (OCT) is its most important modality, but also
its most problematic in terms of interoperability, storage and unified analyses. Much of this is to do with incompatible
instruments and data formats. Rapid advances in radiology resulted from the DICOM standardization of image data,
facilitating more collaborative work, better data insight, device independence and innovative developments that today
have spawned multiple independent vendors offering processing and archival solutions. For OCT, no such solution exists
and, as a direct result, despite being the standard of care, the clinical data remains under-utilized and the research
fragmented. Open formats reduce overall costs and can ultimately lead to better patient outcomes.
This project will establish the first, commercial grade, cloud-based, truly vendor neutral, DICOM compliant, image and
information storage and processing platform for ophthalmic OCT. The proposed system will bring the functionality,
interoperability, and innovation of radiology to ophthalmology. The project has the following clear and achievable
milestones: 1) Develop Nebula, a cloud-based, DICOM-compliant, image storage and archive platform. This will be built
with security as the primary consideration and will natively support patient management systems. 2) Add a web-based
analysis front-end to Nebula optimized for clinical ophthalmic workflows. 3) Build on our Phase I award, and implement,
validate and release AI-based AMD prognostics, OCT-angiography analytics and retinal fluid quantification software. 4)
Apply for regulatory approval for both Nebula’s picture archiving and communications (PACS) for ophthalmology and the
fluid quantification module. This will allow for clinical use of the system and serve as a platform for a wide variety of
ophthalmic and neurologic research.
We have received significant interest in the proposed work from researchers, ophthalmologists, and optometrists. And,
toward these ends, we have assembled a team of experts to manage, implement, validate, and release this software. That
is, to achieve all the aims presented.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1371/journal.pone.0262111
发表时间:
2022
期刊:
PloS one
影响因子:
3.7
作者:
[Sodhi SK, Pereira A, Oakley JD, Golding J, Trimboli C, Russakoff DB, Choudhry N]
通讯作者:
Choudhry N
Retinal image analysis software for neurodegenerative disease research
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批准号:10255740
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项目类别:
-
资助金额:$98.86万
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财政年份:2017
-
负责人:Daniel Russakoff
-
依托单位:
Retinal image analysis software for neurodegenerative disease research
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批准号:9254634
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项目类别:
-
资助金额:$22.3万
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财政年份:2017
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负责人:Daniel Russakoff
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依托单位: