Continued Development and Maintenance of MriStudio
MriStudio的持续开发和维护
基本信息
- 批准号:9896853
- 负责人:
- 金额:$ 36.44万
- 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:2013-09-01 至 2023-02-28
- 项目状态:已结题
- 来源:
- 关键词:AdoptedAgeAlgorithmsAnatomyArchitectureArchivesAtlasesBedside TestingsBrainBrain MappingChargeClinicalClinical DataCollectionCommunitiesComputer softwareComputersDataData AnalysesDevelopmentDiffusion Magnetic Resonance ImagingDigital Imaging and Communications in MedicineDiseaseEducationEnvironmentFacultyFamilyFunctional Magnetic Resonance ImagingGrantHospitalsImageImage AnalysisInstitutional Review BoardsLanguageLesionLibrariesMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMaintenanceManualsMemoryMethodsPatientsPhysiologicalPredispositionProcessPublicationsQuality ControlReportingResourcesRestRunningScientistServicesSpin LabelsStatistical Data InterpretationStructureSupercomputingSystemTechnologyTestingTranslational ResearchTransplantationUniversitiesUpdateWorkanalysis pipelineapplication programming interfacebasecloud platformcomputerized data processingdata exchangedata qualityfile formatfirewallimage processingimaging Segmentationimprovedinterestlarge scale datamultimodalityonline resourceportabilityprogramssegmentation algorithmsoftware as a servicestatisticstooltractographyweb interfacewhite matter
项目摘要
The purpose of this grant is to support the continued development and maintenance of DtiStudio/MriStudio/
MriCloud software family, which was developed at the PIs’ lab in Johns Hopkins University. DtiStudio was
introduced in 2001 and remains one of the most widely used programs to process diffusion tensor imaging
(DTI) data. MriStudio, which consists of DiffeoMap and RoiEditor, was introduced in 2007 and provide a unique
environment in which to perform a cutting-edge brain mapping and atlas-based image analysis. In 2014, we
introduced an entirely new software platform, MriCloud, which is fully based on cloud architecture with a web-
interface (www.mricloud.org). This platform not only integrated all the analysis offered by Dti/MriStudio in a fully
automated manner but also provides new types of services that was made possible by the cloud architecture.
Within two years, it has more than 1,200 registered users and the monthly processed data reached over 8,000
in April, 2017. There are currently four Software-as-a-Service (SaaS) provided in this platform. In this
application, we propose to extend this service to the community through the following aims;
Aim 1: Continued user support through update, education, and dissemination
Dissemination: Currently, two major channels of dissemination are web-based resources (manuals and videos)
and hands-on monthly three-day tutorials. Each tutorial accepts 12 applicants with 5 faculties and two
programmers helping the attendees. As the functionalities of DtiStudio/MriStudio/MriCloud expand, the
continued and most updated user supports is of the highest importance.
Resource update: We continue to update them by incorporating state-of-the-art technologies and new atlas
resources. The update of data I/O with ever-changing file formats (DICOM and proprietary) by the four major
MRI manufactures remains essential.
Aim 2: Extension of the functionality
Addition of new services: We continue to work with our collaborators to incorporate further processing pipelines
including structure-based lesion-load analysis using FLAIR images, MR spectroscopy, and quantitative
susceptibility mapping data.
QC report: We will develop and incorporate three levels of check points for quantitative data quality control.
Aim 3: Integrative analysis platform: The co-existence of an array of MR image analysis pipelines within the
same cloud platform provides a unique opportunity to perform multi-modal integrative analysis. We will develop
tools to combine anatomical and physiological features from multiple MR contrasts and characterize unique
features of a disease of interest.
Aim 4: Bring to bedside: This is an exploratory aim to develop and test our cloud system as a platform for
translational research.
这笔拨款的目的是支持DtiStudio/MriStudio/的持续发展和维护
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(0)
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MICHAEL I MILLER其他文献
MICHAEL I MILLER的其他文献
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{{ truncateString('MICHAEL I MILLER', 18)}}的其他基金
Tracing Spread of Pathology Within The HD Brain via Automated Neuroimaging
通过自动神经影像追踪 HD 大脑内病理学的传播
- 批准号:
10155594 - 财政年份:2018
- 资助金额:
$ 36.44万 - 项目类别:
Tracing Spread of Pathology Within The HD Brain via Automated Neuroimaging
通过自动神经影像追踪 HD 大脑内病理学的传播
- 批准号:
9924675 - 财政年份:2018
- 资助金额:
$ 36.44万 - 项目类别:
Neurodegenerative and Neurodevelopmental Subcortical Shape Diffeomorphometry
神经退行性和神经发育皮层下形状微形态测量
- 批准号:
9769057 - 财政年份:2016
- 资助金额:
$ 36.44万 - 项目类别:
Neurodegenerative and Neurodevelopmental Subcortical Shape Diffeomorphometry
神经退行性和神经发育皮层下形状微形态测量
- 批准号:
9355187 - 财政年份:2016
- 资助金额:
$ 36.44万 - 项目类别:
Continued Development and Maintenance of MriStudio
MriStudio的持续开发和维护
- 批准号:
8610697 - 财政年份:2013
- 资助金额:
$ 36.44万 - 项目类别:
Continued Development and Maintenance of MriStudio
MriStudio的持续开发和维护
- 批准号:
9118340 - 财政年份:2013
- 资助金额:
$ 36.44万 - 项目类别:
Continued Development and Maintenance of MriStudio
MriStudio的持续开发和维护
- 批准号:
10159312 - 财政年份:2013
- 资助金额:
$ 36.44万 - 项目类别:
BIGDATA Small Project Structurization and Direct Search of Medical Image Data
BIGDATA小项目结构化和医学图像数据直接搜索
- 批准号:
8599843 - 财政年份:2013
- 资助金额:
$ 36.44万 - 项目类别:
BIGDATA Small Project Structurization and Direct Search of Medical Image Data
BIGDATA小项目结构化和医学图像数据直接搜索
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8852613 - 财政年份:2013
- 资助金额:
$ 36.44万 - 项目类别:
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