MRI OF MURINE CARDIAC FUNCTION
MRI OF MURINE CARDIAC FUNCTION
批准号:
7601209
负责人:
BENNETT B CHIN
金额:
$0.5万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-07-01 至 2008-06-30
关键词:
3-DimensionalAlgorithmsApplications GrantsCardiacComputer Retrieval of Information on Scientific Projects DatabaseDataEchocardiographyFunctional disorderFundingGeneticGrantHeart failureImageInstitutionInvestigationLeft Ventricular Ejection FractionMagnetic Resonance ImagingMeasurementMusPilot ProjectsResearchResearch PersonnelResolutionResourcesScreening procedureSourceTimeTransgenic MiceTransgenic ModelUnited States National Institutes of HealthVentricular Functionbasesingle photon emission computed tomographytechnique development
中文摘要
这个子项目是众多研究子项目之一
英文摘要
This subproject is one of many research subprojects utilizing the
resources provided by a Center grant funded by NIH/NCRR. The subproject and
investigator (PI) may have received primary funding from another NIH source,
and thus could be represented in other CRISP entries. The institution listed is
for the Center, which is not necessarily the institution for the investigator.
Investigations of the genetic basis of cardiac dysfunction, using transgenic mice, require accurate characterization of ventricular function. High spatial resolution MRI of greater than 16 time frames per cardiac cycle is difficult to achieve in a short MRI imaging session. Our hypothesis is that rapid acquisition, high temporal resolution SPECT has sufficient spatial resolution to accurately characterize 3 dimensional measurements of cardiac function. The aim of this pilot study is to correlate rapid, high temporal resolution SPECT measurements of ventricular function (LVEF and RVEF from end-diastolic and end-systolic volumes) with those obtained by MRI. If rapid SPECT can accurately characterize cardiac function, an algorithm for echocardiography primary screening, SPECT for secondary functional characterization, and MRI for high spatial resolution measurements will be proposed to fully characterize cardiac dysfunction in transgenic models of heart failure. This preliminary data would be used in a grant proposal to support further development of these techniques.
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会议论文
Geles: A Novel Imaging Informatics System for Generalizable Lesion Identification in Neuroendocrine Tumors
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批准号:10740578
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项目类别:
-
资助金额:$38.85万
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财政年份:2023
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负责人:BENNETT B CHIN
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依托单位:
Small Animal PET/SPECT/CT Molecular Imaging
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批准号:8053517
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项目类别:
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资助金额:$60.0万
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财政年份:2011
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负责人:BENNETT B CHIN
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依托单位:
海外基金