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An Augmented Reality Based PreSurgical Navigation System for Ventriculoperitoneal Shunt Placement: Development and Phantom Skull Assessment with Unity-Vuforia
Author(s) -
Tandin Dorji,
Vich Yindeedej,
Pakinee Aimmanee
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3588098
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Ventriculoperitoneal (VP) shunt placement is a vital technique for managing patients with hydrocephalus. However, the procedure encounters challenges due to the insufficient accuracy of anatomical landmarks and the high costs associated with advanced surgical navigation systems. To address these limitations, this study aims to assist in the presurgical planning phase of VP shunt placements using 3D-printed skulls. We developed the AR system using Unity and Vuforia to help surgeons visualise the trajectory of a catheter from an entry point on the skull to an intercept point in a ventricle. Experiments were conducted on one hundred commonly used freehand entry points across ten 3D-printed skulls to evaluate the accuracy of the intercept points generated by the AR system. The results indicate that the ventricle intercept points obtained through the system are, on average, 6 mm away from the ground truth, which falls within an acceptable range. This pilot study demonstrates the potential to enhance presurgical planning, particularly in resource-limited settings.

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