Shape Analysis Toolbox: From medical images to quantitative insights of anatomy
Shape Analysis Toolbox: From medical images to quantitative insights of anatomy
批准号:
10426508
负责人:
Beatriz Paniagua
金额:
$43.63万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-19 至 2022-06-30
关键词:
3-DimensionalAccountingAddressAlgorithmsAnatomyArchitectureAutomobile DrivingBiologicalBiological MarkersBiomedical ResearchBrainClassificationClinical ResearchCommunitiesComplexComputer softwareConsultationsDataDevelopmentDiseaseDocumentationEducational workshopEnsureEventFosteringFundingGeometryGoalsImage AnalysisInfrastructureLongitudinal StudiesMeasuresMedicalMedical ImagingMethodologyMethodsModelingModernizationNatureOnline SystemsPediatric cardiologyPhasePopulationProcessPublicationsResearchResearch DesignResearch PersonnelShapesSoftware ToolsStatistical MethodsStructureSurveysTechniquesTestingThree-Dimensional ImageTimeTrainingUltrasonographyUse EffectivenessVariantVisualizationbasebioimagingbiomedical scientistclinical applicationcomplex datacomputer sciencedeep learningdesigndigitalefficacy evaluationfetalgeometric structureimaging studyimprovedinnovationinsightlarge scale datalongitudinal analysisnew technologynovelopen sourceoutreachshape analysisstatisticssuccesstoolusabilityweb site
中文摘要
点击翻译按钮获取中文摘要
英文摘要
PROJECT SUMMARY
Three-dimensional shape lies at the core of understanding the physical objects that surround us. The Shape
AnaLysis Toolbox (SALT) was created to be a dissemination vehicle for advanced shape modeling and
analysis methodology as an open-source, comprehensive and freely distributed software. Over the past four
years, we have been successful in increasing the ease of use and effectiveness of state-of-the-art shape
analysis methodology for biomedical researchers in need of such techniques.
We now propose necessary and novel enhancements to our methods and our dissemination model in order to
continue maximizing the success of SALT. We will also modify the architecture of SALT to better integrate
biomedical imaging research workflows by improving the efficiency and scripting capabilities so SlicerSALT
can be deployed in batch mode for large-scale sequential computations. We will also shift our focus from
shape modeling into state-of-the-art statistical shape analysis methodologies, necessary to serve clinical
applications and to increase the interpretability of shape biomarkers. We will continue to disseminate novel
example applications that best demonstrate how to use our tools to perform impactful research and will provide
fully digital documentation for user support.
The ultimate goal of SlicerSALT is to maximize the potential benefits of the geometric information contained in
medical data and to expand its use beyond simple visualization to support clinical research.
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会议论文
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依托单位:
海外基金