دورية أكاديمية

Assessment of user-interaction strategies for neurosurgical data navigation and annotation in virtual reality.

التفاصيل البيبلوغرافية
العنوان: Assessment of user-interaction strategies for neurosurgical data navigation and annotation in virtual reality.
المؤلفون: Hellum, Owen, Kersten-Oertel, Marta, Xiao, Yiming
المصدر: Virtual Reality; Jun2023, Vol. 27 Issue 2, p1345-1355, 11p
مصطلحات موضوعية: VIRTUAL reality, HUMAN anatomical models, ANNOTATIONS, EYE tracking, NAVIGATION, NOTETAKING, VIRTUAL reality software
الشركة/الكيان: UNITED States. National Aeronautics & Space Administration
مستخلص: While virtual-reality (VR) has shown great promise in radiological tasks, effective user-interaction strategies that can improve efficiency and ergonomics are still under-explored and systematic evaluations of VR interaction techniques in the context of complex anatomical models are rare. Therefore, our study aims to identify the most effective interaction techniques for two common neurosurgical planning tasks in VR (point annotation and note-taking) from the state-of-the-arts, and propose a novel technique for efficient sub-volume selection necessary in neuroanatomical navigation. We assessed seven user-interaction methods with multiple input modalities (gaze, head motion, controller, and voice) for point placement and note-taking in the context of annotating brain aneurysms for cerebrovascular surgery. Furthermore, we proposed and evaluated a novel technique, called magnified selection diorama (Maserama) for easy navigation and selection of complex 3D anatomies in VR. Both quantitative and semi-quantitative (i.e., NASA Task Load Index) metrics were employed through user studies to reveal the performance of each interaction scheme in terms of accuracy, efficiency, and usability. Our evaluations demonstrated that controller-based interaction is preferred over eye-tracking-based methods for point placement while voice recording and virtual keyboard typing are better than freehand writing for note-taking. Furthermore, our new Maserama sub-volume selection technique was proven to be highly efficient and easy-to-use. Our study is the first to provide a systematic assessment of existing and new VR interaction schemes for neurosurgical data navigation and annotation. It offers valuable insights and tools to guide the design of future VR systems for radiological and surgical applications. [ABSTRACT FROM AUTHOR]
Copyright of Virtual Reality is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
قاعدة البيانات: Complementary Index
الوصف
تدمد:13594338
DOI:10.1007/s10055-022-00740-5