Multimodal Image Analysis Software for Epilepsy
Multimodal Image Analysis Software for Epilepsy
批准号:
9205272
负责人:
XENOPHON PAPADEMETRIS
金额:
$49.4万
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:
2016-01-01 至 2018-07-31
关键词:
AddressAffectArchivesBrainBrain DiseasesBrain regionCertificationChildClinicalClinical ResearchCodeComplexComputer softwareCustomDataDatabasesDevelopmentDiseaseElectrodesElectroencephalographyEpilepsyExcisionFailureFiberFunctional Magnetic Resonance ImagingFundingGoalsHospitalsImageImage AnalysisImageryImplanted ElectrodesIntractable EpilepsyJointsLifeLocationMagnetic Resonance ImagingMapsMeasurementMedicalMethodologyMethodsModalityMultimodal ImagingNational Institute of Biomedical Imaging and BioengineeringNavigation SystemOperative Surgical ProceduresPatientsPharmaceutical PreparationsPhasePopulationPositron-Emission TomographyPostoperative PeriodProceduresProcessResearchResearch InfrastructureSeizuresSiteSmall Business Innovation Research GrantSoftware ToolsSourceStandardizationSurfaceTechniquesTestingTissuesTranslationsUnited States National Institutes of HealthWorkX-Ray Computed Tomographyanatomic imagingbasebioimagingbrain abnormalitiesbrain surgeryclinical research sitecostdata sharingdesignexperienceimage guidedimage processingimage registrationimaging modalityimplantationinnovationlife time costmultimodalityneuroimagingneurosurgeryopen sourceprogramspublic health relevanceresearch clinical testingresearch studysingle photon emission computed tomographytool
中文摘要
描述(申请人提供):癫痫是一种衰弱的大脑疾病,手术是那些癫痫发作无法通过医学控制的患者的主要治疗方式。癫痫手术是复杂的,需要多模式成像数据来规划和执行,而图像分析软件对于这一过程是必不可少的。该应用程序的总体目标是开发一个强大的商业软件平台,用于癫痫手术的多模式图像分析,该平台可以获得监管部门的批准,用于学术和非学术医院的临床使用。这些软件工具部分是为了满足我们过去10年在NIH/NIBIB资助下在耶鲁大学进行的癫痫研究的需要,部分是在电气测地公司内部开发的,用于即将推出的GeoSource3.0软件包的大脑分割、来源分析和显示部分。这项建议的创新之处在于(I)开发创新的图像分析方法,以满足癫痫图像分析的具体需求,以及(Ii)将经过测试的研究软件转换为新的设计,使其能够通过监管批准成功过渡到临床使用。这项提议的意义在于
它旨在为临床上可用的癫痫手术计划软件提供明确的支持
用于多模式图像集成和颅内电极定位,可与用于神经外科的图像引导导航系统集成。这一工具将对手术计划和影像引导癫痫神经外科手术产生重大影响。
英文摘要
DESCRIPTION (provided by applicant): Epilepsy is a debilitating brain disorder and surgery is the key treatment modality for those patients whose seizures cannot be controlled medically. Epilepsy surgery is complex, requiring multimodal imaging data for planning and execution, and image analysis software is essential for this process. The overall goal of this application is to develop a robust commercial software platform for multimodal image analysis for epilepsy surgery that can obtain regulatory approval for clinical use in both academic and non- academic hospitals. These software tools were developed in part for the needs of our epilepsy research at Yale over the last 10 years under NIH/NIBIB funding and in part internally at Electrical Geodesics Inc. for the brain segmentation, source analysis, and display parts of the forthcoming GeoSource 3.0 software package. The innovation in this proposal lies (i) the development of innovative image analysis methodology that addresses specific needs in epilepsy image analysis and (ii) the translation of tested research software to a new design that will enable its successful transition via regulatory approval to clinical use. The significance of this proposal is
that it aims to provide clinically usable epilepsy surgical planning software with explicit support
for multimodal image integration and intracranial electrode localization that can be integrated with the image-guided navigation systems used for neurosurgery. This tool would have a major impact on both surgical planning and image-guided epilepsy neurosurgery.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
Segmenting the Brain Surface From CT Images With Artifacts Using Locally Oriented Appearance and Dictionary Learning.
使用局部面向外观和词典学习将大脑表面从CT图像分割。
DOI:
10.1109/tmi.2018.2868045
发表时间:
2019-03
期刊:
IEEE transactions on medical imaging
影响因子:
10.6
作者:
[Onofrey JA, Staib LH, Papademetris X]
通讯作者:
Papademetris X
Segmenting the Brain Surface from CT Images with Artifacts Using Dictionary Learning for Non-rigid MR-CT Registration.
使用字典学习从具有伪影的 CT 图像中分割大脑表面以进行非刚性 MR-CT 配准。
DOI:
10.1007/978-3-319-19992-4_52
发表时间:
2015
期刊:
Information processing in medical imaging : proceedings of the ... conference
影响因子:
--
作者:
[Onofrey,JohnA, Staib,LawrenceH, Papademetris,Xenophon]
通讯作者:
Papademetris,Xenophon
Integration of 3D Slicer and BioImage Suite
-
批准号:8073718
-
项目类别:
-
资助金额:$16.55万
-
财政年份:2011
-
负责人:XENOPHON PAPADEMETRIS
-
依托单位:
Image-Guided Deep Brain Microscopy for Neurosurgical Intervention
-
批准号:7665033
-
项目类别:
-
资助金额:$35.49万
-
财政年份:2007
-
负责人:XENOPHON PAPADEMETRIS
-
依托单位:
Image-Guided Deep Brain Microscopy for Neurosurgical Intervention
-
批准号:7478575
-
项目类别:
-
资助金额:$35.51万
-
财政年份:2007
-
负责人:XENOPHON PAPADEMETRIS
-
依托单位:
Image-Guided Deep Brain Microscopy for Neurosurgical Intervention
-
批准号:7304774
-
项目类别:
-
资助金额:$36.36万
-
财政年份:2007
-
负责人:XENOPHON PAPADEMETRIS
-
依托单位:
Bioimage Suite: A structural, functional and metabolic image analysis platform
-
批准号:7350192
-
项目类别:
-
资助金额:$35.55万
-
财政年份:2006
-
负责人:XENOPHON PAPADEMETRIS
-
依托单位:
Bioimage Suite: A structural, functional and metabolic image analysis platform
-
批准号:7193439
-
项目类别:
-
资助金额:$35.72万
-
财政年份:2006
-
负责人:XENOPHON PAPADEMETRIS
-
依托单位:
Bioimage Suite: A structural, functional and metabolic image analysis platform
-
批准号:7564696
-
项目类别:
-
资助金额:$35.55万
-
财政年份:2006
-
负责人:XENOPHON PAPADEMETRIS
-
依托单位:
Bioimage Suite: A structural, functional and metabolic image analysis platform
-
批准号:7068751
-
项目类别:
-
资助金额:$36.27万
-
财政年份:2006
-
负责人:XENOPHON PAPADEMETRIS
-
依托单位:
Bioimage Suite: A structural, functional and metabolic image analysis platform
-
批准号:7844697
-
项目类别:
-
资助金额:$1.88万
-
财政年份:2006
-
负责人:XENOPHON PAPADEMETRIS
-
依托单位:
Bioimage Suite: A structural, functional and metabolic image analysis platform
-
批准号:7495404
-
项目类别:
-
资助金额:$8.25万
-
财政年份:2006
-
负责人:XENOPHON PAPADEMETRIS
-
依托单位:
海外基金