Quantitative Analysis of Carpal Kinematics Using 3D Dynamic MRI

使用 3D 动态 MRI 定量分析腕骨运动学

基本信息

批准号：
10354380
负责人：
Riccardo Lattanzi
金额：
$ 17.8万
依托单位：
NEW YORK UNIVERSITY SCHOOL OF MEDICINE
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-02-01 至 2023-12-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10354380
关键词：
3-Dimensional Anatomy Ankle Basic Science Cadaver Cartilage Clinical Clinical Pathology Clinical assessments Complex Degenerative polyarthritis Development Diagnosis Digit structure Disease Distal Early Diagnosis Evaluation Fluoroscopy Forearm Fracture Functional disorder Goals Hand Imaging Techniques In Vitro Incidence Injury Ionizing radiation Joints Lead Ligaments Long-Term Effects Magnetic Resonance Imaging Measurement Metacarpal bone Methods Motion Movement Muscle Nature Operative Surgical Procedures Outcome Pain Pathologic Patients Pattern Physiologic pulse Positioning Attribute Property Prosthesis Radial Radiology Specialty Reproducibility Rheumatoid Arthritis Roentgen Rays Rotation Sampling Scheme Scientist Shapes Structure Techniques Three-Dimensional Image Time Translations Visualization Work Wrist Wrist Injuries automated segmentation base carpus bone clinical examination clinical translation clinically relevant clinically significant falls healing healthy volunteer image processing imaging approach improved in vivo insight kinematics ligament injury neuromuscular non-invasive imaging novel premature radiological imaging real-time images skeletal soft tissue temporal measurement theories three-dimensional visualization tool two-dimensional ulna validation studies volunteer wrist function wrist motion

项目摘要

Project Summary/Abstract The wrist is a complex and versatile structure, which allows a substantial degree of three-dimensional motion. To adequately diagnose and treat carpal injuries, it is important to understand the basic science and clinical relevance of functional kinematics of the wrist. However, the analysis of carpal kinematics is challenging due to the multiplanar rotations and translations of the carpal bones, the irregularity of their shape, and the small magnitudes of movements. Most studies have been performed in vitro on cadaveric wrists, and in vivo approaches based on noninvasive imaging have been proposed only recently. Initial in vivo work used CT or MRI to obtain three-dimensional (3D) images of carpal bones at multiple static poses of the hand to reconstruct an animated movement pattern. Since true dynamic joint kinematics may deviate from its animated counterpart, more recent work has explored the possibility of real-time imaging during continuous wrist motion using 4D CT, fluoroscopy and two-dimensional (2D) dynamic MRI. However, these methods either involves ionizing radiation or cannot capture out-of-plane translations and rotations that occur even during relatively simple wrist movements, because of their 2D nature. In this project, we will develop a new technique for quantitative analysis of carpal kinematics based, for the first time, on 3D dynamic MRI acquisitions. We will develop a processing pipeline that will combine automated segmentation of the carpal bones and the extraction of their motion patterns during ulnar-radial deviation and flexion-extension of the wrist. We will conduct a pilot validation study on healthy volunteers and patients with clinical evidence of carpal instability, with the goal of characterizing normal wrist kinematics and identifying quantitative metrics to detect pathologic wrist conditions. We will also investigate an alternative imaging approach based on the combination of parallel MRI and compressed sensing to further accelerate the 3D dynamic MRI. Toward the end of the project, we will validate this new dynamic imaging technique to assess whether the improved temporal resolution is clinically significant for the analysis of carpal kinematics. Successful completion of this project will provide a new, 3D MRI-based technique for in vivo characterization and visualization of 3D skeletal kinematics, providing novel insights into normal wrist function and pathophysiology of wrist instability. Our proposed automated image processing pipeline will facilitate clinical translation. The ability to assess dynamic motion patterns will contribute to diagnosis, therapy, and prosthesis development for wrist disorders, enabling to evaluate the long-term effects of healing and surgical intervention. The proposed technique could also have an impact for the dynamic evaluation of other anatomical structures such as, for example, the ankle.

项目概要/摘要手腕是一个复杂且多功能的结构，可以进行很大程度的三维运动。为了充分诊断和治疗腕部损伤，了解基础科学和临床非常重要手腕功能运动学的相关性。然而，腕骨运动学的分析具有挑战性，因为腕骨的多平面旋转和平移、其形状的不规则性以及小运动的幅度。大多数研究是在尸体手腕上进行的体外研究，以及在体内进行的基于非侵入性成像的方法最近才被提出。最初的体内工作使用 CT 或 MRI 可获取手部多个静态姿势下的腕骨三维 (3D) 图像以进行重建动画运动模式。由于真正的动态关节运动学可能与其动画对应的运动学有所不同，最近的工作探索了使用 4D CT 在连续手腕运动期间进行实时成像的可能性，透视和二维 (2D) 动态 MRI。然而，这些方法要么涉及电离辐射或者即使在相对简单的手腕过程中也无法捕获发生的平面外平移和旋转运动，因为它们的 2D 性质。在这个项目中，我们将开发一种定量分析的新技术首次基于 3D 动态 MRI 采集来研究腕部运动学。我们将开发一个加工管道将结合腕骨的自动分割和运动模式的提取在手腕的尺桡偏差和屈伸期间。我们将对健康进行试点验证研究具有腕骨不稳定临床证据的志愿者和患者，目的是描述正常手腕的特征运动学和识别定量指标来检测病理性手腕状况。我们还将调查一个基于并行 MRI 和压缩感知相结合的替代成像方法进一步加速 3D 动态 MRI。在项目结束时，我们将验证这种新的动态成像评估改进的时间分辨率对于腕骨分析是否具有临床意义的技术运动学。该项目的成功完成将为体内研究提供一种基于 3D MRI 的新技术 3D 骨骼运动学的表征和可视化，为正常手腕功能提供新颖的见解和腕部不稳定的病理生理学。我们提出的自动化图像处理流程将促进临床翻译。评估动态运动模式的能力将有助于诊断、治疗和假肢手腕疾病的发展，能够评估愈合和手术干预的长期效果。所提出的技术也可能对其他解剖结构的动态评估产生影响例如脚踝。