Hopfgartner Adam, Burns David, Suppiah Suganth, Martin Allan R, Hardisty Michael, Whyne Cari M
Orthopaedic Biomechanics Laboratory, Sunnybrook Research Institute, Toronto, ON, Canada.
Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada.
Int J Comput Assist Radiol Surg. 2022 Jul;17(7):1191-1199. doi: 10.1007/s11548-022-02679-z. Epub 2022 May 28.
External ventricular drainage (EVD) is a life-saving procedure indicated for elevated intracranial pressure. A catheter is inserted into the ventricles to drain cerebrospinal fluid and release the pressure on the brain. However, the standard freehand EVD technique results in catheter malpositioning in up to 60.1% of procedures. This proof-of-concept study aimed to evaluate the registration accuracy of a novel image-based verification system "Bullseye EVD" in a preclinical cadaveric model of catheter placement.
Experimentation was performed on both sides of 3 cadaveric heads (n = 6). After a pre-interventional CT scan, a guidewire simulating the EVD catheter was inserted as in a clinical EVD procedure. 3D structured light images (Einscan, Shining 3D, China) were acquired of an optical tracker placed over the guidewire on the surface of the scalp, along with three distinct cranial regions (scalp, face, and ear). A computer vision algorithm was employed to determine the guidewire position based on the pre-interventional CT scan and the intra-procedural optical imaging. A post-interventional CT scan was used to validate the performance of the Bullseye optical imaging system in terms of trajectory and offset errors.
Optical images which combined facial features and exposed scalp within the surgical field resulted in the lowest trajectory and offset errors of 1.28° ± 0.38° and 0.33 ± 0.19 mm, respectively. Mean duration of the optical imaging procedure was 128 ± 35 s.
The Bullseye EVD system presents an accurate patient-specific method to verify freehand EVD positioning. Use of facial features was critical to registration accuracy. Workflow automation and development of a user interface must be considered for future clinical evaluation.
脑室外引流(EVD)是一种用于治疗颅内压升高的挽救生命的手术。通过将导管插入脑室来引流脑脊液并减轻对大脑的压力。然而,标准的徒手EVD技术在高达60.1%的手术中会导致导管位置不当。本概念验证研究旨在评估一种新型基于图像的验证系统“Bullseye EVD”在导管置入的临床前尸体模型中的配准准确性。
在3个尸体头部的两侧进行实验(n = 6)。在进行干预前的CT扫描后,按照临床EVD手术的方式插入模拟EVD导管的导丝。对放置在头皮表面导丝上的光学跟踪器以及三个不同的颅骨区域(头皮、面部和耳朵)采集3D结构光图像(Einscan,中国闪铸科技)。采用计算机视觉算法根据干预前的CT扫描和术中光学成像来确定导丝位置。干预后的CT扫描用于验证Bullseye光学成像系统在轨迹和偏移误差方面的性能。
结合手术视野内面部特征和暴露头皮的光学图像产生的最低轨迹误差和偏移误差分别为1.28°±0.38°和0.33±0.19毫米。光学成像过程的平均持续时间为128±35秒。
Bullseye EVD系统提供了一种准确的针对个体患者的方法来验证徒手EVD定位。面部特征的使用对配准准确性至关重要。未来的临床评估必须考虑工作流程自动化和用户界面的开发。