Ultrageluid-gebaseerde bewegingsregistratie van het os scaphoideum voor computerondersteunde orthopedische chirurgie

Scaphoid fractures are the most common carpal fractures and are frequently treated using percutaneous scaphoid fixation (PSF), a minimally invasive procedure performed under fluoroscopic guidance. However, fluoroscopy provides only two-dimensional views of a complex three-dimensional wrist anatomy and exposes patients and staff to ionizing radiation. In addition, intraoperative manipulation can induce scaphoid motion relative to the wrist, degrading image-to-patient registration and challenging CAOS approaches that assume immobilization. These limitations motivate radiation-free guidance capable of tracking scaphoid motion in real time while maintaining reliable acoustic coupling on the curved, mobile wrist surface. This PhD project developed and validated a wearable, flexible ultrasound solution for motion-tolerant scaphoid tracking during PSF within a CAOS framework. A dual linear flexible array was designed via a parametric k-Wave simulation study using CT-derived wrist anatomy and implemented as a prototype with two parallel 64-element arrays. The system streams dual-plane ultrasound images, tracks the scaphoid using template matching at 28 Hz, reconstructs a 3D surface point cloud, and registers it to a CT-derived scaphoid model using iterative closest point. Validation against a synchronized 4D ultrasound reference registered to the same CT model yielded a median translation error of 0.48 mm and a median rotation error of 3.90 degrees, with limited drift. Finally, a synchronized multimodal dataset combining preoperative CT, wearable ultrasound, and multi-view near-infrared video acquired under a clinically inspired PSF workflow was introduced to support reproducible development and benchmarking of motion-aware CAOS algorithms. Together, these contributions establish the feasibility of wearable, radiation-free scaphoid tracking within CAOS and provide a foundation for future development of clinically deployable motion-aware navigation systems for wrist surgery

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Publication Details

Journal
Lirias
Published
2026-05-29
Primary Topic
Orthopedic Surgery and Rehabilitation
Type
article
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article

Ultrageluid-gebaseerde bewegingsregistratie van het os scaphoideum voor computerondersteunde orthopedische chirurgie

Hasti Rostamikhanghahi
Lirias
Orthopedic Surgery and Rehabilitation
article

Ultrageluid-gebaseerde bewegingsregistratie van het os scaphoideum voor computerondersteunde orthopedische chirurgie

Hasti Rostamikhanghahi
article en

Abstract

Scaphoid fractures are the most common carpal fractures and are frequently treated using percutaneous scaphoid fixation (PSF), a minimally invasive procedure performed under fluoroscopic guidance. However, fluoroscopy provides only two-dimensional views of a complex three-dimensional wrist anatomy and exposes patients and staff to ionizing radiation. In addition, intraoperative manipulation can induce scaphoid motion relative to the wrist, degrading image-to-patient registration and challenging CAOS approaches that assume immobilization. These limitations motivate radiation-free guidance capable of tracking scaphoid motion in real time while maintaining reliable acoustic coupling on the curved, mobile wrist surface. This PhD project developed and validated a wearable, flexible ultrasound solution for motion-tolerant scaphoid tracking during PSF within a CAOS framework. A dual linear flexible array was designed via a parametric k-Wave simulation study using CT-derived wrist anatomy and implemented as a prototype with two parallel 64-element arrays. The system streams dual-plane ultrasound images, tracks the scaphoid using template matching at 28 Hz, reconstructs a 3D surface point cloud, and registers it to a CT-derived scaphoid model using iterative closest point. Validation against a synchronized 4D ultrasound reference registered to the same CT model yielded a median translation error of 0.48 mm and a median rotation error of 3.90 degrees, with limited drift. Finally, a synchronized multimodal dataset combining preoperative CT, wearable ultrasound, and multi-view near-infrared video acquired under a clinically inspired PSF workflow was introduced to support reproducible development and benchmarking of motion-aware CAOS algorithms. Together, these contributions establish the feasibility of wearable, radiation-free scaphoid tracking within CAOS and provide a foundation for future development of clinically deployable motion-aware navigation systems for wrist surgery

Lirias
Openalex Percentile: Top 5%
Orthopedic Surgery and Rehabilitation
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