Abstract：
PURPOSE:In the last decade, there has been a great effort to bring mixed reality (MR) into the operating room to assist surgeons intraoperatively. However, progress towards this goal is still at an early stage. The aim of this paper is to propose a MR visualisation platform which projects multiple imaging modalities to assist intraoperative surgical guidance. METHODOLOGY:In this work, a MR visualisation platform has been developed for the Microsoft HoloLens. The platform contains three visualisation components, namely a 3D organ model, volumetric data, and tissue morphology captured with intraoperative imaging modalities. Furthermore, a set of novel interactive functionalities have been designed including scrolling through volumetric data and adjustment of the virtual objects' transparency. A pilot user study has been conducted to evaluate the usability of the proposed platform in the operating room. The participants were allowed to interact with the visualisation components and test the different functionalities. Each surgeon answered a questionnaire on the usability of the platform and provided their feedback and suggestions. RESULTS:The analysis of the surgeons' scores showed that the 3D model is the most popular MR visualisation component and neurosurgery is the most relevant speciality for this platform. The majority of the surgeons found the proposed visualisation platform intuitive and would use it in their operating rooms for intraoperative surgical guidance. Our platform has several promising potential clinical applications, including vascular neurosurgery. CONCLUSION:The presented pilot study verified the potential of the proposed visualisation platform and its usability in the operating room. Our future work will focus on enhancing the platform by incorporating the surgeons' suggestions and conducting extensive evaluation on a large group of surgeons.
journal_name
Int J Comput Assist Radiol Surgauthors
Cartucho J,Shapira D,Ashrafian H,Giannarou Sdoi
10.1007/s11548-020-02165-4subject
Has Abstractpub_date
2020-05-01 00:00:00pages
819-826issue
5eissn
1861-6410issn
1861-6429pii
10.1007/s11548-020-02165-4journal_volume
15pub_type
杂志文章abstract：PURPOSE:Most evaluations of surgical workflow or surgeon skill use simple, descriptive statistics (e.g., time) across whole procedures, thereby deemphasizing critical steps and potentially obscuring critical inefficiencies or skill deficiencies. In this work, we examine off-line, temporal clustering methods that chunk ...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
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journal_title：International journal of computer assisted radiology and surgery
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journal_title：International journal of computer assisted radiology and surgery
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journal_title：International journal of computer assisted radiology and surgery
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journal_title：International journal of computer assisted radiology and surgery
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journal_title：International journal of computer assisted radiology and surgery
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journal_title：International journal of computer assisted radiology and surgery
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journal_title：International journal of computer assisted radiology and surgery
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journal_title：International journal of computer assisted radiology and surgery
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journal_title：International journal of computer assisted radiology and surgery
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journal_title：International journal of computer assisted radiology and surgery
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journal_title：International journal of computer assisted radiology and surgery
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journal_title：International journal of computer assisted radiology and surgery
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journal_title：International journal of computer assisted radiology and surgery
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journal_title：International journal of computer assisted radiology and surgery
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journal_title：International journal of computer assisted radiology and surgery
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doi：10.1007/s11548-019-02029-6
更新日期：2019-12-01 00:00:00
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journal_title：International journal of computer assisted radiology and surgery
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journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
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更新日期：2018-06-01 00:00:00
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journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-019-01921-5
更新日期：2019-05-01 00:00:00
