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Open-source Software Development Supplement for 3D quantitative analysisof mouse models of structural birth defects through computational anatomy

Open-source Software Development Supplement for 3D quantitative analysisof mouse models of structural birth defects through computational anatomy
通过计算解剖学对结构性出生缺陷小鼠模型进行 3D 定量分析的开源软件开发补充
批准号：
10839199
负责人：
DAVID R. BEIER
金额：
$38.7万
依托单位：
SEATTLE CHILDREN'S HOSPITAL
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
项目状态：
未结题
起止时间：
2023-09-08 至 2025-12-31
来源：
https://reporter.nih.gov/project-details/10839199
关键词：
3-DimensionalAddressAdoptionAnatomyAtlasesAutomationBiomedical ResearchChargeCloud ComputingCommunitiesComplexComputer HardwareComputer Vision SystemsComputer softwareCongenital AbnormalityContractsData ScienceData SetDetectionDevelopmentDocumentationEngineeringEnvironmentFetal DevelopmentFetusFoundationsFrustrationFundingGenerationsGeneticGoalsHigh Performance ComputingHumanImage AnalysisInternationalKnockout MiceKnowledgeLibrariesLinuxManualsMeasurementMeasuresMethodologyMicroscopeMorphologyMusOperating SystemOrganPaperPharmaceutical PreparationsPhenotypePopulationPreparationPythonsResearchResearch PersonnelResourcesSamplingScienceShapesSoftware EngineeringSoftware ToolsStandardizationStructural Congenital AnomaliesStructural defectStructureTechniquesThree-Dimensional ImageThree-Dimensional ImagingToxinUnited States National Institutes of HealthVariantVisualizationWorkbiomedical imagingcluster computingcomputational anatomycomputer sciencedata toolsdeep learningexperiencefetalgenetic manipulationgraphical user interfaceimage registrationinsightinterestlearning strategymachine learning modelmicroCTmodel organismmouse modelnovelopen sourceparent grantprogramsresponsesoftware developmenttooluser-friendly

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英文摘要
The primary goal of this supplement is to develop user-friendly, UI driven modules as part of the open-source 3D biomedical imaging suite 3D Slicer to facilitate easier discovery of novel phenotypes in quantitative screens of model organisms that have been experimentally manipulated. We will convert our analytical pipelines based on deformable image registration and deep-learning methods, which are developed for our parent grant, into re- usable, general-purpose modules. The end-users of these tools need minimal experience with specifics of biomedical image analysis and/or computer vision concepts, thereby will be able to apply the tools directly to their specific question.
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Project I - Transcriptomic Analysis of Structural Birth Defects in Mouse Developmental Mutants
  • 批准号：
    10154928
  • 项目类别：
  • 资助金额：
    $81.43万
  • 财政年份：
    2021
  • 负责人：
    DAVID R. BEIER
  • 依托单位：
    SEATTLE CHILDREN'S HOSPITAL
Utilization of Advanced Technologies for the Understanding of Human Structural Birth Defects
  • 批准号：
    10327735
  • 项目类别：
  • 资助金额：
    $160.4万
  • 财政年份：
    2021
  • 负责人：
    DAVID R. BEIER
  • 依托单位：
    SEATTLE CHILDREN'S HOSPITAL
Utilization of Advanced Technologies for the Understanding of Human Structural Birth Defects
  • 批准号：
    10541184
  • 项目类别：
  • 资助金额：
    $160.4万
  • 财政年份：
    2021
  • 负责人：
    DAVID R. BEIER
  • 依托单位：
    SEATTLE CHILDREN'S HOSPITAL
Project I - Transcriptomic Analysis of Structural Birth Defects in Mouse Developmental Mutants
  • 批准号：
    10327737
  • 项目类别：
  • 资助金额：
    $81.43万
  • 财政年份：
    2021
  • 负责人：
    DAVID R. BEIER
  • 依托单位：
    SEATTLE CHILDREN'S HOSPITAL
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