Cargando…
Navigation of frameless fixation for gamma knife radiosurgery using fixed augmented reality
Augmented reality (AR) offers a new medical treatment approach. We aimed to evaluate frameless (mask) fixation navigation using a 3D-printed patient model with fixed-AR technology for gamma knife radiosurgery (GKRS). Fixed-AR navigation was developed using the inside-out method with visual inertial...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927150/ https://www.ncbi.nlm.nih.gov/pubmed/35296720 http://dx.doi.org/10.1038/s41598-022-08390-y |
_version_ | 1784670388340391936 |
---|---|
author | Moon, Hyeong Cheol Park, Sang Joon Kim, Young Deok Kim, Kyung Min Kang, Ho Lee, Eun Jung Kim, Min-Sung Kim, Jin Wook Kim, Yong Hwy Park, Chul-Kee Kim, Young Gyu Dho, Yun-Sik |
author_facet | Moon, Hyeong Cheol Park, Sang Joon Kim, Young Deok Kim, Kyung Min Kang, Ho Lee, Eun Jung Kim, Min-Sung Kim, Jin Wook Kim, Yong Hwy Park, Chul-Kee Kim, Young Gyu Dho, Yun-Sik |
author_sort | Moon, Hyeong Cheol |
collection | PubMed |
description | Augmented reality (AR) offers a new medical treatment approach. We aimed to evaluate frameless (mask) fixation navigation using a 3D-printed patient model with fixed-AR technology for gamma knife radiosurgery (GKRS). Fixed-AR navigation was developed using the inside-out method with visual inertial odometry algorithms, and the flexible Quick Response marker was created for object-feature recognition. Virtual 3D-patient models for AR-rendering were created via 3D-scanning utilizing TrueDepth and cone-beam computed tomography (CBCT) to generate a new GammaKnife Icon™ model. A 3D-printed patient model included fiducial markers, and virtual 3D-patient models were used to validate registration accuracy. Registration accuracy between initial frameless fixation and re-fixation navigated fixed-AR was validated through visualization and quantitative method. The quantitative method was validated through set-up errors, fiducial marker coordinates, and high-definition motion management (HDMM) values. A 3D-printed model and virtual models were correctly overlapped under frameless fixation. Virtual models from both 3D-scanning and CBCT were enough to tolerate the navigated frameless re-fixation. Although the CBCT virtual model consistently delivered more accurate results, 3D-scanning was sufficient. Frameless re-fixation accuracy navigated in virtual models had mean set-up errors within 1 mm and 1.5° in all axes. Mean fiducial marker differences from coordinates in virtual models were within 2.5 mm in all axes, and mean 3D errors were within 3 mm. Mean HDMM difference values in virtual models were within 1.5 mm of initial HDMM values. The variability from navigation fixed-AR is enough to consider repositioning frameless fixation without CBCT scanning for treating patients fractionated with large multiple metastases lesions (> 3 cm) who have difficulty enduring long beam-on time. This system could be applied to novel GKRS navigation for frameless fixation with reduced preparation time. |
format | Online Article Text |
id | pubmed-8927150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89271502022-03-17 Navigation of frameless fixation for gamma knife radiosurgery using fixed augmented reality Moon, Hyeong Cheol Park, Sang Joon Kim, Young Deok Kim, Kyung Min Kang, Ho Lee, Eun Jung Kim, Min-Sung Kim, Jin Wook Kim, Yong Hwy Park, Chul-Kee Kim, Young Gyu Dho, Yun-Sik Sci Rep Article Augmented reality (AR) offers a new medical treatment approach. We aimed to evaluate frameless (mask) fixation navigation using a 3D-printed patient model with fixed-AR technology for gamma knife radiosurgery (GKRS). Fixed-AR navigation was developed using the inside-out method with visual inertial odometry algorithms, and the flexible Quick Response marker was created for object-feature recognition. Virtual 3D-patient models for AR-rendering were created via 3D-scanning utilizing TrueDepth and cone-beam computed tomography (CBCT) to generate a new GammaKnife Icon™ model. A 3D-printed patient model included fiducial markers, and virtual 3D-patient models were used to validate registration accuracy. Registration accuracy between initial frameless fixation and re-fixation navigated fixed-AR was validated through visualization and quantitative method. The quantitative method was validated through set-up errors, fiducial marker coordinates, and high-definition motion management (HDMM) values. A 3D-printed model and virtual models were correctly overlapped under frameless fixation. Virtual models from both 3D-scanning and CBCT were enough to tolerate the navigated frameless re-fixation. Although the CBCT virtual model consistently delivered more accurate results, 3D-scanning was sufficient. Frameless re-fixation accuracy navigated in virtual models had mean set-up errors within 1 mm and 1.5° in all axes. Mean fiducial marker differences from coordinates in virtual models were within 2.5 mm in all axes, and mean 3D errors were within 3 mm. Mean HDMM difference values in virtual models were within 1.5 mm of initial HDMM values. The variability from navigation fixed-AR is enough to consider repositioning frameless fixation without CBCT scanning for treating patients fractionated with large multiple metastases lesions (> 3 cm) who have difficulty enduring long beam-on time. This system could be applied to novel GKRS navigation for frameless fixation with reduced preparation time. Nature Publishing Group UK 2022-03-16 /pmc/articles/PMC8927150/ /pubmed/35296720 http://dx.doi.org/10.1038/s41598-022-08390-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Moon, Hyeong Cheol Park, Sang Joon Kim, Young Deok Kim, Kyung Min Kang, Ho Lee, Eun Jung Kim, Min-Sung Kim, Jin Wook Kim, Yong Hwy Park, Chul-Kee Kim, Young Gyu Dho, Yun-Sik Navigation of frameless fixation for gamma knife radiosurgery using fixed augmented reality |
title | Navigation of frameless fixation for gamma knife radiosurgery using fixed augmented reality |
title_full | Navigation of frameless fixation for gamma knife radiosurgery using fixed augmented reality |
title_fullStr | Navigation of frameless fixation for gamma knife radiosurgery using fixed augmented reality |
title_full_unstemmed | Navigation of frameless fixation for gamma knife radiosurgery using fixed augmented reality |
title_short | Navigation of frameless fixation for gamma knife radiosurgery using fixed augmented reality |
title_sort | navigation of frameless fixation for gamma knife radiosurgery using fixed augmented reality |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927150/ https://www.ncbi.nlm.nih.gov/pubmed/35296720 http://dx.doi.org/10.1038/s41598-022-08390-y |
work_keys_str_mv | AT moonhyeongcheol navigationofframelessfixationforgammakniferadiosurgeryusingfixedaugmentedreality AT parksangjoon navigationofframelessfixationforgammakniferadiosurgeryusingfixedaugmentedreality AT kimyoungdeok navigationofframelessfixationforgammakniferadiosurgeryusingfixedaugmentedreality AT kimkyungmin navigationofframelessfixationforgammakniferadiosurgeryusingfixedaugmentedreality AT kangho navigationofframelessfixationforgammakniferadiosurgeryusingfixedaugmentedreality AT leeeunjung navigationofframelessfixationforgammakniferadiosurgeryusingfixedaugmentedreality AT kimminsung navigationofframelessfixationforgammakniferadiosurgeryusingfixedaugmentedreality AT kimjinwook navigationofframelessfixationforgammakniferadiosurgeryusingfixedaugmentedreality AT kimyonghwy navigationofframelessfixationforgammakniferadiosurgeryusingfixedaugmentedreality AT parkchulkee navigationofframelessfixationforgammakniferadiosurgeryusingfixedaugmentedreality AT kimyounggyu navigationofframelessfixationforgammakniferadiosurgeryusingfixedaugmentedreality AT dhoyunsik navigationofframelessfixationforgammakniferadiosurgeryusingfixedaugmentedreality |