A Lower Extremity Neuromusculoskeletal Human Simulator: Addressing Multiscale Challenges
A Lower Extremity Neuromusculoskeletal Human Simulator: Addressing Multiscale Challenges
批准号:
10231075
负责人:
KEVIN B SHELBURNE
金额:
$43.65万
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-07 至 2024-05-31
关键词:
3-DimensionalAddressAdipose tissueAffectAlzheimer&aposs DiseaseAnatomyBehaviorBiomechanicsCadaverCardiovascular DiseasesCartilageCommunitiesDataData SetDegenerative polyarthritisDementiaDevelopmentDiagnostic radiologic examinationDiseaseElderlyElementsEngineeringEquilibriumEtiologyFinancial compensationFinite Element AnalysisGeometryGoalsHealthHumanHuman ActivitiesHuman bodyImplantIndividualInjuryInvestigationJointsKneeKnee OsteoarthritisLigamentsLimb structureLinkLower ExtremityMagnetic Resonance ImagingManufacturer NameMeasurementMeasuresMechanicsMental DepressionModelingMotionMovementMuscleMusculoskeletalMusculoskeletal DiseasesMusculoskeletal SystemObesityOperative Surgical ProceduresPainPathologyPatientsPropertyQuality of lifeReplacement ArthroplastyReportingResearchResolutionSpeedStructureSurgeonSystemTendon structureTestingThigh structureTissuesValidationVisionX-Ray Computed Tomographyboneclinical practicecohortdesigndisabilityeffective therapyhuman modelimplant designimprovedin vivokinematicsknee replacement arthroplastymodels and simulationmulti-scale modelingneuromuscularneuromusculoskeletalnovelobese patientssimulationtreatment optimization
中文摘要
项目摘要/摘要
我们的愿景是通过创建数据和模型来表示人类肌肉骨骼系统,
现实主义需要理解病理学并改进治疗。人体天生就是多尺度的。
疾病和损伤往往在微观结构范围内影响组织;小规模的病理影响
更大规模的生物力学,导致全身运动补偿,这通常会促进
进一步伤害或加速退化。最终,一种多尺度的方法,描述了
个体组织和整个身体的生物力学是阐明疾病病因所必需的,
适应机制和最佳治疗。这项提案的总体目标是创建一个全面的
包含无缝连接的人体下肢多尺度神经肌肉骨骼模型
在动态人类活动期间组织和全身功能之间的关系,并使现实的研究成为可能
肌肉骨骼疾病和治疗。虽然我们将创建和共享具有广泛适用性的模型
生物力学,我们的目标是了解膝骨性关节炎(OA)对患者功能和
通过全膝关节置换(TKA)优化治疗。骨性关节炎是一种严重的退行性关节疾病,
老年人残疾的主要原因。此外,骨质疏松症与许多紧迫的健康问题密切相关,
包括肥胖、心血管疾病、阿尔茨海默病、痴呆症和抑郁症。接合
替代疗法仍然是治疗晚期骨性关节炎的唯一有效方法。不幸的是,多达20%-30%的
关节置换患者报告疼痛,需要额外的手术,并忍受与运动相关的不良反应。
生活质量。我们研究的一个宗旨是使用人体建模和模拟来研究多尺度
OA对患者的影响,并改进关节置换手术的设计和实践。
英文摘要
PROJECT SUMMARY / ABSTRACT
Our vision is to represent the human musculoskeletal system, through the creation of data and models, with
the realism needed to understand pathology and improve treatment. The human body is inherently multiscale.
Diseases and injuries often affect tissues at the microstructural scale; small-scale pathology impacts
biomechanics at larger scales, leading to whole-body movement compensations that oftentimes promote
further injury or accelerate degeneration. Ultimately, a multiscale approach, describing the behavior of
individual tissues, and the biomechanics of the whole body, is needed to elucidate the etiology of diseases,
mechanisms of adaptation and best treatments. The overall goal of this proposal is to create a comprehensive
multiscale neuromusculoskeletal model of the human lower extremity, which includes seamless connection
between tissue and whole-body function during dynamic human activities and enables realistic investigations
of musculoskeletal disease and treatment. While we will create and share models with broad applicability in
biomechanics, our target is understanding the effects of knee osteoarthritis (OA) on patient function and
optimizing treatment through total knee arthroplasty (TKA). OA is a serious degenerative joint disease and the
leading cause of disability in the elderly. Moreover, OA is interrelated with many pressing health concerns,
including obesity, cardiovascular disease (CVD), Alzheimer’s disease, dementia, and depression. Joint
replacement remains the only effective treatment for advanced OA. Unfortunately, as many as 20-30% of total
joint replacement patients report pain, require additional surgeries, and endure a poor movement-related
quality of life. A tenet of our research is the use of human modeling and simulation to investigate the multiscale
effects of OA on patients, and to improve the design and practice of joint replacement surgery.
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Automated 2D and 3D finite element overclosure adjustment and mesh morphing using generalized regression neural networks.
使用广义回归神经网络自动进行 2D 和 3D 有限元包覆调整和网格变形。
DOI:
10.1016/j.medengphy.2024.104136
发表时间:
2024
期刊:
Medical engineering & physics
影响因子:
2.2
作者:
[Andreassen,ThorE, Hume,DonaldR, Hamilton,LandonD, Higinbotham,SeanE, Shelburne,KevinB]
通讯作者:
Shelburne,KevinB
DOI:
10.1038/s41598-021-02298-9
发表时间:
2021-11-26
期刊:
Scientific reports
影响因子:
4.6
作者:
[Volk VL, Hamilton LD, Hume DR, Shelburne KB, Fitzpatrick CK]
通讯作者:
Fitzpatrick CK
DOI:
10.1038/s41597-022-01905-2
发表时间:
2023-01-18
期刊:
SCIENTIFIC DATA
影响因子:
9.8
作者:
[Andreassen, Thor E., Hume, Donald R., Hamilton, Landon D., Walker, Karen E., Higinbotham, Sean E., Shelburne, Kevin B.]
通讯作者:
Shelburne, Kevin B.
Supine leg press as an alternative to standing lunge in high-speed stereo radiography.
在高速立体放射成像中,仰卧腿举可以替代站立弓步。
DOI:
10.1016/j.jbiomech.2022.111118
发表时间:
2022
期刊:
Journal of biomechanics
影响因子:
2.4
作者:
[Hamilton,LandonD, Andreassen,ThorE, Myers,Casey, Shelburne,KevinB, Clary,Chadd, Rullkoetter,PaulJ]
通讯作者:
Rullkoetter,PaulJ
Knee pivot location in asymptomatic older adults.
无症状老年人的膝关节枢轴位置。
DOI:
10.1016/j.jbiomech.2023.111487
发表时间:
2023
期刊:
Journal of biomechanics
影响因子:
2.4
作者:
[Hamilton,LandonD, Andreassen,ThorE, Myers,CaseyA, Shelburne,KevinB, Clary,ChaddW, Rullkoetter,PaulJ]
通讯作者:
Rullkoetter,PaulJ
A Multi-Scale Finite Element Musculoskeletal Modeling Framework Applied to Curren
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批准号:8902141
-
项目类别:
-
资助金额:$24.39万
-
财政年份:2012
-
负责人:KEVIN B SHELBURNE
-
依托单位:
A Multi-Scale Finite Element Musculoskeletal Modeling Framework Applied to Curren
-
批准号:8517719
-
项目类别:
-
资助金额:$24.33万
-
财政年份:2012
-
负责人:KEVIN B SHELBURNE
-
依托单位:
A Multi-Scale Finite Element Musculoskeletal Modeling Framework Applied to Curren
-
批准号:8350729
-
项目类别:
-
资助金额:$32.19万
-
财政年份:2012
-
负责人:KEVIN B SHELBURNE
-
依托单位:
A Multi-Scale Finite Element Musculoskeletal Modeling Framework Applied to Curren
-
批准号:8705909
-
项目类别:
-
资助金额:$24.14万
-
财政年份:2012
-
负责人:KEVIN B SHELBURNE
-
依托单位:
海外基金