Surgical Navigation System for Hypertensive Intracerebral Hemorrhage Based on Mixed Reality.
J Digit Imaging
; 35(6): 1530-1543, 2022 12.
Article
in En
| MEDLINE
| ID: mdl-35819536
ABSTRACT
Hypertensive intracerebral hemorrhage (HICH) is an intracerebral bleeding disease that affects 2.5 per 10,000 people worldwide each year. An effective way to cure this disease is puncture through the dura with a brain puncture drill and tube; the accuracy of the insertion determines the quality of the surgery. In recent decades, surgical navigation systems have been widely used to improve the accuracy of surgery and minimize risks. Augmented reality- and mixed reality-based surgical navigation is a promising new technology for surgical navigation in the clinic, aiming to improve the safety and accuracy of the operation. In this study, we present a novel multimodel mixed reality navigation system for HICH surgery in which medical images and virtual anatomical structures can be aligned intraoperatively with the actual structures of the patient in a head-mounted device and adjusted when the patient moves in real time while under local anesthesia; this approach can help the surgeon intuitively perform intraoperative navigation. A novel registration method is used to register the holographic space and serves as an intraoperative optical tracker, and a method for calibrating the HICH surgical tools is used to track the tools in real time. The results of phantom experiments revealed a mean registration error of 1.03 mm and an average time consumption of 12.9 min. In clinical usage, the registration error was 1.94 mm, and the time consumption was 14.2 min, showing that this system is sufficiently accurate and effective for clinical application.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Intracranial Hemorrhage, Hypertensive
/
Surgery, Computer-Assisted
/
Augmented Reality
Limits:
Humans
Language:
En
Journal:
J Digit Imaging
Journal subject:
DIAGNOSTICO POR IMAGEM
/
INFORMATICA MEDICA
/
RADIOLOGIA
Year:
2022
Document type:
Article
Affiliation country:
China