An MRI-Based Method for Measuring Bone Mineral and Matrix Densities in Humans
基于 MRI 的人体骨矿物质和基质密度测量方法
基本信息
- 批准号:8536574
- 负责人:
- 金额:$ 4.22万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-08-01 至 2014-07-31
- 项目状态:已结题
- 来源:
- 关键词:AdultAlgorithmsAnimalsApatitesBindingBiopsyBone DensityBone DiseasesBone MatrixCalibrationCell NucleusClinicClinicalCollagenCompetenceDiagnosticDiagnostic ProcedureDiagnostic testsDiseaseEdetic AcidElderlyEquilibriumEquipmentFractureGoldHumanHydrogenImageIonizing radiationLabelLeftMagnetic Resonance ImagingMeasurementMeasuresMechanicsMethodsMetricMineralsOsteomalaciaOsteoporosisPatientsPhosphorusPhysiologic calcificationPhysiologic pulsePilot ProjectsProceduresProtonsRelaxationReproducibilityResearchResolutionRiskSamplingScanningSignal TransductionSpecimenTechniquesTetracyclinesTimeTranslatingUnited StatesWaterWorkX-Ray Computed Tomographyabsorptionbasebonedensitydesignhealthy volunteerimaging modalityimprovedin vivomagnetic fieldmineralizationresponseskeletal disordersolid state
项目摘要
DESCRIPTION (provided by applicant): Osteoporosis and bone-demineralizing disorders (e.g. osteomalacia) are skeletal diseases that cause decreased bone mineral density and reduce the mechanical competence of bone, predisposing to fractures. Whereas osteoporosis is a structural bone disease where both bone mineral and matrix are lost, bone- demineralizing disorders involve a deficit in bone mineral only. Therefore, the ratio of bone constituent densitie (RBCD), given as the ratio of bone mineral density to bone matrix density, would be a suitable metric by which to distinguish these two groups of diseases. The RBCD is closely related to the degree of mineralization of bone (DMB), which is expressed as mass of mineral per volume of matrix. Current diagnostic methods, such as dual-energy x-ray absorptiometry (DXA), measure only bone mineral density and, thus, are unable to distinguish between these two groups of diseases. Secondary diagnostic methods, such as bone biopsy, can sometimes discriminate between these diseases, but this procedure is invasive. Because these two disorders often co-occur in the elderly, such patients are often misdiagnosed as having only osteoporosis, leaving their bone-demineralizing disorder untreated. The proposed work builds on recent research conducted in the applicant's lab. This project seeks to adapt MRI-based methods for bone matrix and mineral density measurements, proven on animal specimens in specialized hardware, into a single quantitative examination that can be performed on humans. The hypothesis is that the proposed examination will be able to distinguish between osteoporosis and disorders of impaired mineralization using clinical MRI equipment and without the risks associated with ionizing radiation, as in DXA or quantitative computed tomography (QCT), or invasive bone biopsy. The proposed work will include determining the optimal magnetic field strength for this procedure, the method for isolation of bone matrix-associated proton signal from the total bone proton pool, the adjustment of the MRI pulse sequence to balance image resolution with scan time, the design of image intensity reference samples, and the improvement of algorithms used to calculate densities from image intensities. The resulting examination will then be applied to normal and chemically demineralized bone specimens in order to confirm the method's accuracy and reproducibility. The true densities of these specimens will be measured by gravimetry. The final step will be to translate this method to the clinic in a small pilot study involving healthy volunteers and subjects with these two different classes of disorders in order to demonstrate the method's feasibility to distinguish between disease states.
描述(由申请人提供):骨质疏松症和骨脱矿物质疾病(例如骨软化症)是导致骨矿物质密度降低和骨机械能力降低的骨骼疾病,易诱发骨折。而骨质疏松症是一种结构性骨疾病,其中骨矿物质和基质都丢失,骨脱矿物质障碍仅涉及骨矿物质的不足。因此,骨成分密度比(RBCD),即骨矿物质密度与骨基质密度的比值,是区分这两组疾病的合适指标。RBCD与骨矿化度(DMB)密切相关,DMB表示为每体积基质的矿物质质量。目前的诊断方法,如双能X射线吸收法(DXA),只能测量骨密度,因此无法区分这两组疾病。二级诊断方法,如骨活检,有时可以区分这些疾病,但这种程序是侵入性的。由于这两种疾病经常在老年人中同时发生,这些患者经常被误诊为只有骨质疏松症,使他们的骨脱矿物质紊乱得不到治疗。拟议的工作建立在申请人实验室最近进行的研究基础上。该项目旨在将基于MRI的骨基质和矿物质密度测量方法(在专用硬件中的动物标本上得到证明)调整为可以在人类身上进行的单一定量检查。假设是,拟议的检查将能够区分骨质疏松症和矿化受损的疾病,使用临床MRI设备,没有电离辐射相关的风险,如DXA或定量计算机断层扫描(QCT),或侵入性骨活检。拟议的工作将包括确定最佳的磁场强度为这一进程,从总骨质子池的骨基质相关的质子信号的隔离方法,调整MRI脉冲序列,以平衡图像分辨率与扫描时间,图像强度参考样本的设计,和用于计算密度从图像强度的算法的改进。然后将所得检查应用于正常和化学脱矿骨标本,以确认该方法的准确性和重现性。将通过重量分析法测量这些样本的真密度。最后一步将是在一项小型试点研究中将这种方法转化为临床,该研究涉及健康志愿者和患有这两种不同类型疾病的受试者,以证明该方法区分疾病状态的可行性。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Alan C Seifert其他文献
Alan C Seifert的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Alan C Seifert', 18)}}的其他基金
An MRI-Based Method for Measuring Bone Mineral and Matrix Densities in Humans
基于 MRI 的人体骨矿物质和基质密度测量方法
- 批准号:
8316605 - 财政年份:2012
- 资助金额:
$ 4.22万 - 项目类别:
相似海外基金
Reconstruction algorithms for time-domain diffuse optical tomography imaging of small animals
小动物时域漫射光学断层成像重建算法
- 批准号:
RGPIN-2015-05926 - 财政年份:2019
- 资助金额:
$ 4.22万 - 项目类别:
Discovery Grants Program - Individual
Reconstruction algorithms for time-domain diffuse optical tomography imaging of small animals
小动物时域漫射光学断层成像重建算法
- 批准号:
RGPIN-2015-05926 - 财政年份:2018
- 资助金额:
$ 4.22万 - 项目类别:
Discovery Grants Program - Individual
Reconstruction algorithms for time-domain diffuse optical tomography imaging of small animals
小动物时域漫射光学断层成像重建算法
- 批准号:
RGPIN-2015-05926 - 财政年份:2017
- 资助金额:
$ 4.22万 - 项目类别:
Discovery Grants Program - Individual
Reconstruction algorithms for time-domain diffuse optical tomography imaging of small animals
小动物时域漫射光学断层成像重建算法
- 批准号:
RGPIN-2015-05926 - 财政年份:2016
- 资助金额:
$ 4.22万 - 项目类别:
Discovery Grants Program - Individual
Event detection algorithms in decision support for animals health surveillance
动物健康监测决策支持中的事件检测算法
- 批准号:
385453-2009 - 财政年份:2015
- 资助金额:
$ 4.22万 - 项目类别:
Collaborative Research and Development Grants
Algorithms to generate designs of potency experiments that use far fewer animals
生成使用更少动物的效力实验设计的算法
- 批准号:
8810865 - 财政年份:2015
- 资助金额:
$ 4.22万 - 项目类别:
Reconstruction algorithms for time-domain diffuse optical tomography imaging of small animals
小动物时域漫射光学断层成像重建算法
- 批准号:
RGPIN-2015-05926 - 财政年份:2015
- 资助金额:
$ 4.22万 - 项目类别:
Discovery Grants Program - Individual
Event detection algorithms in decision support for animals health surveillance
动物健康监测决策支持中的事件检测算法
- 批准号:
385453-2009 - 财政年份:2013
- 资助金额:
$ 4.22万 - 项目类别:
Collaborative Research and Development Grants
Development of population-level algorithms for modelling genomic variation and its impact on cellular function in animals and plants
开发群体水平算法来建模基因组变异及其对动植物细胞功能的影响
- 批准号:
FT110100972 - 财政年份:2012
- 资助金额:
$ 4.22万 - 项目类别:
ARC Future Fellowships
Advanced computational algorithms for brain imaging studies of freely moving animals
用于自由活动动物脑成像研究的先进计算算法
- 批准号:
DP120103813 - 财政年份:2012
- 资助金额:
$ 4.22万 - 项目类别:
Discovery Projects














{{item.name}}会员




