A Novel Registration Method for a Mixed Reality Navigation System Based on a Laser Crosshair Simulator: A Technical Note
Mixed Reality Navigation (MRN) is pivotal in augmented reality-assisted intelligent neurosurgical interventions. However, existing MRN registration methods face challenges in concurrently achieving low user dependency, high accuracy, and clinical applicability. This study proposes and evaluates a no...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-11-01
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| Series: | Bioengineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2306-5354/10/11/1290 |
| _version_ | 1827640512974159872 |
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| author | Ziyu Qi Miriam H. A. Bopp Christopher Nimsky Xiaolei Chen Xinghua Xu Qun Wang Zhichao Gan Shiyu Zhang Jingyue Wang Haitao Jin Jiashu Zhang |
| author_facet | Ziyu Qi Miriam H. A. Bopp Christopher Nimsky Xiaolei Chen Xinghua Xu Qun Wang Zhichao Gan Shiyu Zhang Jingyue Wang Haitao Jin Jiashu Zhang |
| author_sort | Ziyu Qi |
| collection | DOAJ |
| description | Mixed Reality Navigation (MRN) is pivotal in augmented reality-assisted intelligent neurosurgical interventions. However, existing MRN registration methods face challenges in concurrently achieving low user dependency, high accuracy, and clinical applicability. This study proposes and evaluates a novel registration method based on a laser crosshair simulator, evaluating its feasibility and accuracy. A novel registration method employing a laser crosshair simulator was introduced, designed to replicate the scanner frame’s position on the patient. The system autonomously calculates the transformation, mapping coordinates from the tracking space to the reference image space. A mathematical model and workflow for registration were designed, and a Universal Windows Platform (UWP) application was developed on HoloLens-2. Finally, a head phantom was used to measure the system’s target registration error (TRE). The proposed method was successfully implemented, obviating the need for user interactions with virtual objects during the registration process. Regarding accuracy, the average deviation was 3.7 ± 1.7 mm. This method shows encouraging results in efficiency and intuitiveness and marks a valuable advancement in low-cost, easy-to-use MRN systems. The potential for enhancing accuracy and adaptability in intervention procedures positions this approach as promising for improving surgical outcomes. |
| first_indexed | 2024-03-09T17:00:43Z |
| format | Article |
| id | doaj.art-822040304d254f548879acdc1c823145 |
| institution | Directory Open Access Journal |
| issn | 2306-5354 |
| language | English |
| last_indexed | 2024-03-09T17:00:43Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Bioengineering |
| spelling | doaj.art-822040304d254f548879acdc1c8231452023-11-24T14:29:50ZengMDPI AGBioengineering2306-53542023-11-011011129010.3390/bioengineering10111290A Novel Registration Method for a Mixed Reality Navigation System Based on a Laser Crosshair Simulator: A Technical NoteZiyu Qi0Miriam H. A. Bopp1Christopher Nimsky2Xiaolei Chen3Xinghua Xu4Qun Wang5Zhichao Gan6Shiyu Zhang7Jingyue Wang8Haitao Jin9Jiashu Zhang10Department of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing 100853, ChinaDepartment of Neurosurgery, University of Marburg, Baldingerstrasse, 35043 Marburg, GermanyDepartment of Neurosurgery, University of Marburg, Baldingerstrasse, 35043 Marburg, GermanyDepartment of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing 100853, ChinaDepartment of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing 100853, ChinaDepartment of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing 100853, ChinaDepartment of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing 100853, ChinaDepartment of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing 100853, ChinaDepartment of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing 100853, ChinaDepartment of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing 100853, ChinaDepartment of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing 100853, ChinaMixed Reality Navigation (MRN) is pivotal in augmented reality-assisted intelligent neurosurgical interventions. However, existing MRN registration methods face challenges in concurrently achieving low user dependency, high accuracy, and clinical applicability. This study proposes and evaluates a novel registration method based on a laser crosshair simulator, evaluating its feasibility and accuracy. A novel registration method employing a laser crosshair simulator was introduced, designed to replicate the scanner frame’s position on the patient. The system autonomously calculates the transformation, mapping coordinates from the tracking space to the reference image space. A mathematical model and workflow for registration were designed, and a Universal Windows Platform (UWP) application was developed on HoloLens-2. Finally, a head phantom was used to measure the system’s target registration error (TRE). The proposed method was successfully implemented, obviating the need for user interactions with virtual objects during the registration process. Regarding accuracy, the average deviation was 3.7 ± 1.7 mm. This method shows encouraging results in efficiency and intuitiveness and marks a valuable advancement in low-cost, easy-to-use MRN systems. The potential for enhancing accuracy and adaptability in intervention procedures positions this approach as promising for improving surgical outcomes.https://www.mdpi.com/2306-5354/10/11/1290mixed reality navigationaugmented realityneurosurgical interventionspreoperative planningregistration methodlaser |
| spellingShingle | Ziyu Qi Miriam H. A. Bopp Christopher Nimsky Xiaolei Chen Xinghua Xu Qun Wang Zhichao Gan Shiyu Zhang Jingyue Wang Haitao Jin Jiashu Zhang A Novel Registration Method for a Mixed Reality Navigation System Based on a Laser Crosshair Simulator: A Technical Note Bioengineering mixed reality navigation augmented reality neurosurgical interventions preoperative planning registration method laser |
| title | A Novel Registration Method for a Mixed Reality Navigation System Based on a Laser Crosshair Simulator: A Technical Note |
| title_full | A Novel Registration Method for a Mixed Reality Navigation System Based on a Laser Crosshair Simulator: A Technical Note |
| title_fullStr | A Novel Registration Method for a Mixed Reality Navigation System Based on a Laser Crosshair Simulator: A Technical Note |
| title_full_unstemmed | A Novel Registration Method for a Mixed Reality Navigation System Based on a Laser Crosshair Simulator: A Technical Note |
| title_short | A Novel Registration Method for a Mixed Reality Navigation System Based on a Laser Crosshair Simulator: A Technical Note |
| title_sort | novel registration method for a mixed reality navigation system based on a laser crosshair simulator a technical note |
| topic | mixed reality navigation augmented reality neurosurgical interventions preoperative planning registration method laser |
| url | https://www.mdpi.com/2306-5354/10/11/1290 |
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