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：
Wojciech Bartosz Zbijewski
金额：
$ 43.13万
依托单位：
JOHNS HOPKINS UNIVERSITY
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：
https://reporter.nih.gov/project-details/9342891
关键词：
Accounting Adult Affect Algorithms American Architecture Area Biological Markers Biological Models Biopsy Specimen Bone Density Bone plates Cadaver Calibration Cartilage Clinical Clinical Research Degenerative polyarthritis Development Diagnosis Diagnostic Diagnostic radiologic examination Disease Dose Early Diagnosis Early treatment Evaluation Future Geometry Health Human Image Imagery Imaging technology Industry Institution Investigational Therapies Joints Knee Lead Limb structure Logistics Magnetic Resonance Imaging Measurement Measures Modeling Monte Carlo Method Morphology Motion Musculoskeletal Noise Osteoporosis Pathogenesis Patients Performance Pilot Projects Porosity Protocols documentation Radiation Reproducibility Research Resolution Rheumatoid Arthritis Roentgen Rays Scanning Self-Correction Source Spottings Staging Support System System Systems Analysis Techniques Tendon structure Testing Thick Thinness Time Translating Translations Universities Weight-Bearing state Width advanced system base bone bone health cartilage degradation clinical translation cone-beam computed tomography detector diagnosis evaluation disability early detection biomarkers effective therapy follow-up image reconstruction imaging biomarker imaging capabilities imaging modality imaging platform improved in vivo in vivo imaging innovative technologies interest microCT model development morphometry musculoskeletal imaging novel novel diagnostics novel strategies object motion prevent prototype public health relevance quantitative imaging reconstruction soft tissue subchondral bone targeted treatment tool treatment response ultra 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，遭受了约3000万美国成年人的痛苦，目前缺乏有效的治疗。 OA射线照相和MRI的诊断主要依赖于后期疾病的生物标志物，并且能够尽早检测到OA的能力可以使疗法能够防止无法可逆的软骨损失。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，并且是治疗的靶标。但是，由于缺乏成像技术，这种潜在的诊断和治疗中的这种潜在进步妨碍了表征小梁体系结构所需的高空间分辨率（<0.2 mm）具有高度的定量精度，可实现可靠的BMD测量以及在体内成像大关节的能力。与常规CT相比，专用的肢体锥束CT（CBCT）是最近的进步，可提供承重成像，减少剂量和优质空间分辨率（〜0.3 mm）的能力，如在我们机构开发的临床研究中所证明的那样。我们假设使用新型CMOS探测器，基于模型的图像重建和患者特异性散射校正的高级CBCT系统将同时对SB结构，BMD和关节空间形态进行同时评估，以便在OA中对治疗反应的早期诊断和评估。 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）增强CBCT中的空间分辨率超出了传统限制，其基于模型的重建结合了系统模型，基于基准的无基质刚性运动校正和利益量的多分辨率对象表示，以产生最小可分辨的细节尺寸，以促进准确的SB形态学； 3）使用患者特异性的散射校正与蒙特卡洛计算加速（预期的校正时间〜2 min/scan），并使用新型的自动BMD校准系统与Scanner Enclosure组成相比，提高了与Scanner Enclosure的新颖，比3％的4％，提高了使用蒙特卡洛计算加速的蒙特卡洛计算的患者特异性散射校正，以提高定量准确性和软组织对比度（例如软骨和肌腱）（软骨和肌腱）。 4）将AIMS 1-3的系统集成到临床CBCT的临床平台上，并在临床试验研究中评估该系统，以评估SB体系结构和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，转化为与OA的早期检测和分期有关的试点研究，并可能在骨骼健康的其他领域中使用，例如类风湿关节炎或骨质疏松症。这项研究是在约翰·霍普金斯大学和凯特拉姆健康之间的一个学术行业财团中进行的。

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）

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：
10.1117/12.2255695
发表时间：
2017
期刊：
Proceedings of SPIE--the International Society for Optical Engineering
影响因子：
0
作者：
Cao,Q;Brehler,M;Sisniega,A;Stayman,JW;Yorkston,J;Siewerdsen,JH;Zbijewski,W
通讯作者：
Zbijewski,W

Robust Quantitative Assessment of Trabecular Microarchitecture in Extremity Cone-Beam CT Using Optimized Segmentation Algorithms.

使用优化的分割算法对四肢锥束 CT 中的小梁微结构进行稳健的定量评估。

DOI：
10.1117/12.2293346
发表时间：
2018
期刊：
Proceedings of SPIE--the International Society for Optical Engineering
影响因子：
0
作者：
Brehler,M;Cao,Q;Moseley,KF;Osgood,G;Morris,C;Demehri,S;Yorkston,J;Siewerdsen,JH;Zbijewski,W
通讯作者：
Zbijewski,W

Modeling and evaluation of a high-resolution CMOS detector for cone-beam CT of the extremities.

DOI：
10.1002/mp.12654
发表时间：
2018-01
期刊：
Medical physics
影响因子：
3.8
作者：
Cao Q;Sisniega A;Brehler M;Stayman JW;Yorkston J;Siewerdsen JH;Zbijewski W
通讯作者：
Zbijewski W

High-Resolution Extremity Cone-Beam CT with a CMOS Detector: Evaluation of a Clinical Prototype in Quantitative Assessment of Bone Microarchitecture.

配备 CMOS 探测器的高分辨率四肢锥束 CT：骨微结构定量评估中临床原型的评估。

DOI：
10.1117/12.2293810
发表时间：
2018
期刊：
Proceedings of SPIE--the International Society for Optical Engineering
影响因子：
0
作者：
Cao,Q;Brehler,M;Sisniega,A;Tilley2nd,S;ShirazBhruwani,MM;Stayman,JW;Yorkston,J;Siewerdsen,JH;Zbijewski,W
通讯作者：
Zbijewski,W

Modeling Shift-Variant X-Ray Focal Spot Blur for High-Resolution Flat-Panel Cone-Beam CT.

高分辨率平板锥束 CT 的平移变体 X 射线焦点模糊建模。

DOI：
发表时间：
2016
期刊：
Conference proceedings. International Conference on Image Formation in X-Ray Computed Tomography
影响因子：
0
作者：
Tilley2nd,Steven;Zbijewski,Wojciech;Siewerdsen,JeffreyH;Stayman,JWebster
通讯作者：
Stayman,JWebster