Quantitative high resolution cone beam CT for assessment of bone and joint health
用于评估骨和关节健康的定量高分辨率锥形束 CT
基本信息
- 批准号:9342891
- 负责人:
- 金额:$ 43.13万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-09-01 至 2020-03-31
- 项目状态:已结题
- 来源:
- 关键词:AccountingAdultAffectAlgorithmsAmericanArchitectureAreaBiological MarkersBiological ModelsBiopsy SpecimenBone DensityBone platesCadaverCalibrationCartilageClinicalClinical ResearchDegenerative polyarthritisDevelopmentDiagnosisDiagnosticDiagnostic radiologic examinationDiseaseDoseEarly DiagnosisEarly treatmentEvaluationFutureGeometryHealthHumanImageImageryImaging technologyIndustryInstitutionInvestigational TherapiesJointsKneeLeadLimb structureLogisticsMagnetic Resonance ImagingMeasurementMeasuresModelingMonte Carlo MethodMorphologyMotionMusculoskeletalNoiseOsteoporosisPathogenesisPatientsPerformancePilot ProjectsPorosityProtocols documentationRadiationReproducibilityResearchResolutionRheumatoid ArthritisRoentgen RaysScanningSelf-CorrectionSourceSpottingsStagingSupport SystemSystemSystems AnalysisTechniquesTendon structureTestingThickThinnessTimeTranslatingTranslationsUniversitiesWeight-Bearing stateWidthadvanced systembasebonebone healthcartilage degradationclinical translationcone-beam computed tomographydetectordiagnosis evaluationdisabilityearly detection biomarkerseffective therapyfollow-upimage reconstructionimaging biomarkerimaging capabilitiesimaging modalityimaging platformimprovedin vivoin vivo imaginginnovative technologiesinterestmicroCTmodel developmentmorphometrymusculoskeletal imagingnovelnovel diagnosticsnovel strategiesobject motionpreventprototypepublic health relevancequantitative imagingreconstructionsoft tissuesubchondral bonetargeted treatmenttooltreatment responseultra high resolution
项目摘要
DESCRIPTION (provided by applicant): Osteoarthritis (OA) is the most common degenerative joint disease, afflicting ~30 million US adults and currently lacking effective treatment. OA diagnosis with radiography and MRI relies predominantly on biomarkers of late disease, and capability for early detection of OA could enable therapies preventing irreversible cartilage loss.
Changes in subchondral bone (SB) architecture and bone mineral density (BMD) have been identified as possible biomarkers of early disease and a target for therapy. However, this potential advance in OA diagnosis and treatment is hampered by the lack of imaging technology that combines the high level of spatial resolution required to characterize trabecular architecture
(<0.2 mm) with a high degree of quantitative accuracy enabling reliable BMD measurement and the ability to image large joints in vivo. Dedicated extremity cone-beam CT (CBCT) is a recent advance providing the capability for weight-bearing imaging, reduced dose, and superior spatial resolution (~0.3 mm) compared to conventional CT, as demonstrated in clinical studies using a system developed at our institution. We hypothesize that an advanced system for extremity CBCT utilizing a novel CMOS detector, model-based image reconstruction, and patient-specific scatter correction will provide simultaneous in-vivo assessment of SB architecture, BMD, and joint space morphology for early diagnosis and evaluation of treatment response in OA. The development and clinical translation of the system supporting this hypothesis involve the following Specific Aims: 1) Develop an advanced extremity CBCT configuration for in-vivo assessment of bone health employing a fast, low-noise, high-resolution CMOS detector within a system optimized for OA imaging tasks and compatible with rapid translation to the extremity CBCT clinical prototype; 2) Enhance spatial resolution in CBCT beyond conventional limits with model-based reconstruction incorporating a model of system blur, fiducially-free rigid motion correction, and a volume-of-interest, multi-resolution object representation to yield minimum resolvable detail size of ~0.1 mm to facilitate accurate SB morphometry; 3) Improve quantitative accuracy and soft tissue contrast (e.g., cartilage and tendons) using a patient-specific scatter correction with Monte Carlo calculation accelerated with iterative de-noising (anticipated correction time ~2 min/scan) and by developing a novel, automatic BMD calibration system integrated with the scanner enclosure to yield BMD accuracy better than 3%; and 4) Integrate the systems from Aims 1-3 onto a clinical platform for extremity CBCT and evaluate the system in a clinical pilot study to assess potential diagnostic performance and reproducibility of the SB architecture and BMD measurement. The project will advance the resolution and quantitative accuracy of CBCT translated to pilot studies pertinent to the early detection and staging of OA, with potential application in other areas of bone health e.g. rheumatoid arthritis or osteoporosis.
The research is conducted in an academic-industry consortium between Johns Hopkins University and Carestream Health.
描述(由申请人提供):骨关节炎(OA)是最常见的退行性关节疾病,困扰约 3000 万美国成年人,目前缺乏有效的治疗方法。通过放射线照相和 MRI 进行 OA 诊断主要依赖于晚期疾病的生物标志物,早期检测 OA 的能力可以使治疗能够预防不可逆的软骨损失。
软骨下骨 (SB) 结构和骨矿物质密度 (BMD) 的变化已被确定为早期疾病的可能生物标志物和治疗目标。然而,由于缺乏结合表征小梁结构所需的高水平空间分辨率的成像技术,OA 诊断和治疗的这一潜在进展受到阻碍
(<0.2 mm) 具有高度的定量精度,可实现可靠的 BMD 测量和体内大关节成像的能力。专用四肢锥形束 CT (CBCT) 是一项最新进展,与传统 CT 相比,可提供负重成像、减少剂量和卓越的空间分辨率(约 0.3 毫米),正如使用我们开发的系统进行的临床研究所证明的那样。机构。我们假设,先进的四肢 CBCT 系统利用新型 CMOS 探测器、基于模型的图像重建和患者特异性散射校正,将同时对 SB 结构、BMD 和关节空间形态进行体内评估,以进行早期诊断和评估OA 的治疗反应。支持这一假设的系统的开发和临床转化涉及以下具体目标: 1) 开发先进的四肢 CBCT 配置,在优化的系统内采用快速、低噪声、高分辨率 CMOS 探测器,用于骨骼健康的体内评估适用于 OA 成像任务,并兼容快速转化为肢体 CBCT 临床原型; 2) 通过基于模型的重建,结合系统模糊模型、无基准刚性运动校正和感兴趣体积、多分辨率对象表示,将 CBCT 的空间分辨率提高到超出传统限制,以产生 ~ 的最小可解析细节尺寸0.1 mm,有利于精确的 SB 形态测量; 3) 使用患者特定的散射校正和迭代去噪加速的蒙特卡罗计算(预计校正时间约为 2 分钟/扫描)并开发一种新颖的自动方法,提高定量精度和软组织对比度(例如软骨和肌腱) BMD 校准系统与扫描仪外壳集成,BMD 精度优于 3%; 4) 将目标 1-3 的系统集成到四肢 CBCT 临床平台上,并在临床试点研究中评估该系统,以评估 SB 架构和 BMD 测量的潜在诊断性能和可重复性。该项目将提高 CBCT 的分辨率和定量准确性,并将其转化为与 OA 早期检测和分期相关的试点研究,并有可能应用于骨健康的其他领域,例如骨骼健康。类风湿性关节炎或骨质疏松症。
该研究是由约翰霍普金斯大学和 Carestream Health 之间的学术产业联盟进行的。
项目成果
期刊论文数量(20)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Application of a Novel Ultra-High Resolution Multi-Detector CT in Quantitative Imaging of Trabecular Microstructure.
新型超高分辨率多探测器 CT 在小梁微结构定量成像中的应用。
- DOI:
- 发表时间:2020-02
- 期刊:
- 影响因子:0
- 作者:Shi, G;Subramanian, S;Cao, Q;Demehri, S;Siewerdsen, J H;Zbijewski, W
- 通讯作者:Zbijewski, W
High-resolution extremity cone-beam CT with a CMOS detector: Task-based optimization of scintillator thickness.
带有 CMOS 探测器的高分辨率四肢锥束 CT:基于任务的闪烁体厚度优化。
- DOI:
- 发表时间:2017-03
- 期刊:
- 影响因子:0
- 作者:Cao, Q;Brehler, M;Sisniega, A;Stayman, J W;Yorkston, J;Siewerdsen, J H;Zbijewski, W
- 通讯作者:Zbijewski, W
Quantitative Assessment Of Bone And Joint Health On A Dedicated Extremities Cone-Beam CT System.
在专用四肢锥束 CT 系统上定量评估骨骼和关节健康。
- DOI:
- 发表时间:2015-06
- 期刊:
- 影响因子:0
- 作者:Zbijewski, Wojciech;Cao, Qian;Tilley 2nd, Steven;Sisniega, Alejandro;Stayman, J Webster;Yorkston, John;Siewerden, Jeffrey H
- 通讯作者:Siewerden, Jeffrey H
Image-Based Motion Compensation for High-Resolution Extremities Cone-Beam CT.
适用于高分辨率四肢锥束 CT 的基于图像的运动补偿。
- DOI:
- 发表时间:2016-02-27
- 期刊:
- 影响因子:0
- 作者:Sisniega, A;Stayman, J W;Cao, Q;Yorkston, J;Siewerdsen, J H;Zbijewski, W
- 通讯作者:Zbijewski, W
A Model-Based Iterative Algorithm for Dual-Energy X-Ray CT Reconstruction
基于模型的双能X射线CT重建迭代算法
- DOI:
- 发表时间:2024-09-13
- 期刊:
- 影响因子:0
- 作者:Ruoqiao Zhang;Jean;C. Bouman;K. Sauer;J. Hsieh
- 通讯作者:J. Hsieh
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Wojciech Bartosz Zbijewski其他文献
Wojciech Bartosz Zbijewski的其他文献
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{{ truncateString('Wojciech Bartosz Zbijewski', 18)}}的其他基金
Quantitative bone radiomics using Ultra-High Resolution CT
使用超高分辨率 CT 进行定量骨放射组学
- 批准号:
10211363 - 财政年份:2021
- 资助金额:
$ 43.13万 - 项目类别:
Quantitative bone radiomics using Ultra-High Resolution CT
使用超高分辨率 CT 进行定量骨放射组学
- 批准号:
10211363 - 财政年份:2021
- 资助金额:
$ 43.13万 - 项目类别:
Quantitative bone radiomics using Ultra-High Resolution CT
使用超高分辨率 CT 进行定量骨放射组学
- 批准号:
10609522 - 财政年份:2021
- 资助金额:
$ 43.13万 - 项目类别:
Quantitative bone radiomics using Ultra-High Resolution CT
使用超高分辨率 CT 进行定量骨放射组学
- 批准号:
10442522 - 财政年份:2021
- 资助金额:
$ 43.13万 - 项目类别:
Quantitative high resolution cone beam CT for assessment of bone and joint health
用于评估骨和关节健康的定量高分辨率锥形束 CT
- 批准号:
8751463 - 财政年份:2014
- 资助金额:
$ 43.13万 - 项目类别:
Cerbral Perfusion Imaging using Cone Beam Computed Tomography
使用锥形束计算机断层扫描进行脑灌注成像
- 批准号:
7537917 - 财政年份:2008
- 资助金额:
$ 43.13万 - 项目类别:
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