TY - GEN
T1 - Assisting Neurosurgeons
T2 - 2024 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2024
AU - Java, Muhammad Iskandar
AU - Hidayati, Shintami Chusnul
AU - Sarno, Riyanarto
AU - Anistyasari, Yeni
AU - Ali, Khurshed
N1 - Publisher Copyright:
©2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Integrating Augmented Reality (AR) into neurosurgical procedures has shown substantial promise in enhancing surgical precision and educational outcomes, building upon previous applications primarily focused on simple visualization tasks. This study extends the current scope by using smartphone-based AR navigation systems tailored to assist neurosurgeons performing brain tumor surgery. Unlike prior efforts, our research developed and validated an AR system that superimposes precise virtual representations of critical anatomical structures, such as the skull and brain, onto a 3D-printed patient model. These models are rendered in transparent materials that improve the visibility and understanding of intricate internal structures, facilitating more intuitive surgical planning and training. Our findings demonstrate that while AR significantly enhances the visualization of anatomical details and the alignment of virtual to physical models, its effectiveness depends on the viewing angle and facial feature distinctiveness, achieving the highest accuracy in frontal views. These results underscore improvements over traditional AR systems, which often struggle with accurate depth perception and spatial orientation, and highlight the challenges of broad integration.
AB - Integrating Augmented Reality (AR) into neurosurgical procedures has shown substantial promise in enhancing surgical precision and educational outcomes, building upon previous applications primarily focused on simple visualization tasks. This study extends the current scope by using smartphone-based AR navigation systems tailored to assist neurosurgeons performing brain tumor surgery. Unlike prior efforts, our research developed and validated an AR system that superimposes precise virtual representations of critical anatomical structures, such as the skull and brain, onto a 3D-printed patient model. These models are rendered in transparent materials that improve the visibility and understanding of intricate internal structures, facilitating more intuitive surgical planning and training. Our findings demonstrate that while AR significantly enhances the visualization of anatomical details and the alignment of virtual to physical models, its effectiveness depends on the viewing angle and facial feature distinctiveness, achieving the highest accuracy in frontal views. These results underscore improvements over traditional AR systems, which often struggle with accurate depth perception and spatial orientation, and highlight the challenges of broad integration.
KW - 3D modeling
KW - augmented reality
KW - good health
KW - neurosurgery
KW - well-being
UR - https://www.scopus.com/pages/publications/85217423177
U2 - 10.1109/3ICT64318.2024.10824369
DO - 10.1109/3ICT64318.2024.10824369
M3 - Conference contribution
AN - SCOPUS:85217423177
T3 - 2024 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2024
SP - 820
EP - 825
BT - 2024 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 17 November 2024 through 19 November 2024
ER -