De Sanctis Lorenzo, Carnevale Arianna, Antonacci Carla, Faiella Eliodoro, Schena Emiliano, Longo Umile Giuseppe
Fondazione Policlinico Universitario Campus Bio-Medico, Via Álvaro del Portillo, 200, 00128 Rome, Italy.
Research Unit of Orthopaedic and Trauma Surgery, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Álvaro del Portillo, 21, 00128 Rome, Italy.
Diagnostics (Basel). 2024 Jul 12;14(14):1501. doi: 10.3390/diagnostics14141501.
In orthopedics, X-rays and computed tomography (CT) scans play pivotal roles in diagnosing and treating bone pathologies. Machine bulkiness and the emission of ionizing radiation remain the main problems associated with these techniques. The accessibility and low risks related to ultrasound handling make it a popular 2D imaging method. Indeed, 3D ultrasound assembles 2D slices into a 3D volume. This study aimed to implement a probe-tracking method for 6 DoF 3D ultrasound. The proposed method involves a dodecahedron with ArUco markers attached, enabling computer vision tracking of the ultrasound probe's position and orientation. The algorithm focuses on the data acquisition phase but covers the basic reconstruction required for data generation and analysis. In the best case, the analysis revealed an average error norm of 2.858 mm with a standard deviation norm of 5.534 mm compared to an infrared optical tracking system used as a reference. This study demonstrates the feasibility of performing volumetric imaging without ionizing radiation or bulky systems. This marker-based approach shows promise for enhancing orthopedic imaging, providing a more accessible imaging modality for helping clinicians to diagnose pathologies regarding complex joints, such as the shoulder, replacing standard infrared tracking systems known to suffer from marker occlusion problems.
在骨科领域,X射线和计算机断层扫描(CT)在骨病的诊断和治疗中发挥着关键作用。设备的庞大体积以及电离辐射的发射仍然是与这些技术相关的主要问题。超声操作的便捷性和低风险使其成为一种流行的二维成像方法。实际上,三维超声将二维切片组合成三维体积。本研究旨在为六自由度三维超声实现一种探头跟踪方法。所提出的方法涉及一个附着有ArUco标记的十二面体,能够通过计算机视觉跟踪超声探头的位置和方向。该算法侧重于数据采集阶段,但涵盖了数据生成和分析所需的基本重建。在最佳情况下,与用作参考的红外光学跟踪系统相比,分析显示平均误差范数为2.858毫米,标准偏差范数为5.534毫米。本研究证明了在不使用电离辐射或庞大系统的情况下进行容积成像的可行性。这种基于标记的方法有望增强骨科成像,为临床医生诊断复杂关节(如肩部)的病变提供一种更便捷的成像方式,替代已知存在标记遮挡问题的标准红外跟踪系统。