TY - JOUR
T1 - Augmented reality for narrow area navigation in jaw surgery
T2 - Modified tracking by detection volume subtraction algorithm
AU - Budhathoki, Srijana
AU - Alsadoon, Abeer
AU - Prasad, P. W.C.
AU - Haddad, Sami
AU - Maag, Angelika
PY - 2020/6
Y1 - 2020/6
N2 - Background and Aim: Jaw surgery based on augmented reality (AR) still has limitations in terms of navigating narrow areas. Surgeons need to avoid nerves, vessels, and teeth in their entirety, not just root canals. Inaccurate positioning of the surgical instrument may lead to positional or navigational errors and can result in cut blood vessels, nerve channels, or root canals. This research aims to decrease the positional error during surgery and improve navigational accuracy by reducing the positional error. Methodology: The proposed 2D/3D system tracks the surgical instrument, consisting of the shaft and the cutting element, each part being assigned a different feature description. In the case of the 3D position estimation, the input vector is composed of image descriptors of the instrument and the output value consists of 3D coordinates of the cutter. Results: Sample results from a jawbone—maxillary and mandibular jaw—demonstrate that the positional error is reduced. The system, thus, led to an improvement in alignment of the video accuracy by 0.25 to 0.35 mm from 0.40 to 0.55 mm and a decrease in processing time of 11 to 14 frames per second (fps) against 8 to 12 fps of existing solutions. Conclusion: The proposed system is focused on overlaying only on the area to be operated on. Thus, this AR-based study contributes to accuracy in navigation of the deeper anatomical corridors through increased accuracy in positioning of surgical instruments.
AB - Background and Aim: Jaw surgery based on augmented reality (AR) still has limitations in terms of navigating narrow areas. Surgeons need to avoid nerves, vessels, and teeth in their entirety, not just root canals. Inaccurate positioning of the surgical instrument may lead to positional or navigational errors and can result in cut blood vessels, nerve channels, or root canals. This research aims to decrease the positional error during surgery and improve navigational accuracy by reducing the positional error. Methodology: The proposed 2D/3D system tracks the surgical instrument, consisting of the shaft and the cutting element, each part being assigned a different feature description. In the case of the 3D position estimation, the input vector is composed of image descriptors of the instrument and the output value consists of 3D coordinates of the cutter. Results: Sample results from a jawbone—maxillary and mandibular jaw—demonstrate that the positional error is reduced. The system, thus, led to an improvement in alignment of the video accuracy by 0.25 to 0.35 mm from 0.40 to 0.55 mm and a decrease in processing time of 11 to 14 frames per second (fps) against 8 to 12 fps of existing solutions. Conclusion: The proposed system is focused on overlaying only on the area to be operated on. Thus, this AR-based study contributes to accuracy in navigation of the deeper anatomical corridors through increased accuracy in positioning of surgical instruments.
KW - augmented reality
KW - jaw surgery
KW - navigation
KW - surgical instruments
KW - tracking by detection
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U2 - 10.1002/rcs.2097
DO - 10.1002/rcs.2097
M3 - Article
C2 - 32091649
AN - SCOPUS:85081294534
SN - 1478-596X
VL - 16
SP - 1
EP - 21
JO - International Journal of Medical Robotics and Computer Assisted Surgery
JF - International Journal of Medical Robotics and Computer Assisted Surgery
IS - 3
M1 - e2097
ER -