2D versus 3D: A Comparison of Needle Navigation Concepts between Augmented Reality Display Devices

被引:5
作者
Heinrich, Florian [1 ]
Schwenderling, Lovis [1 ]
Joeres, Fabian [1 ]
Hansen, Christian [1 ]
机构
[1] Univ Magdeburg, Res Campus STIMULATE, Magdeburg, Germany
来源
2022 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES (VR 2022) | 2022年
关键词
Human-centered computing; Visualization; Empirical studies in visualization; Computing methodologies; Computer graphics; Graphics systems and interfaces; Mixed / augmented reality; Hardware; Communication hardware; interfaces and storage; Displays and imagers; Applied computing; Life and medical sciences; Health informatics; MOUNTED DISPLAYS; VISUALIZATION; INTERVENTIONS; SYSTEM; GUIDANCE;
D O I
10.1109/VR51125.2022.00045
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Surgical procedures requiring needle navigation assistance suffer from complicated hand-eye coordination and are mentally demanding. Augmented reality (AR) can help overcome these issues. However, only an insufficient amount of fundamental research has focused on the design and hardware selection of such AR needle navigation systems. This work contributes to this research area by presenting a user study (n=24) comparing three state-of-the-art navigation concepts displayed by an optical see-through head-mounted display and a stereoscopic projection system. A two-dimensional glyph visualization resulted in higher targeting accuracy but required more needle insertion time. In contrast, punctures guided by a three-dimensional see-through vision concept were less accurate but faster and were favored in a qualitative interview. The third concept, a static representation of the correctly positioned needle, showed too high target errors for clinical accuracy needs. This concept performed worse when displayed by the projection system. Besides that, no meaningful differences between the evaluated AR display devices were detected. User preferences and use case restrictions, e.g., sterility requirements, seem to be more crucial selection criteria. Future work should focus on improving the accuracy of the see-through vision concept. Until then, the glyph visualization is recommended.
引用
收藏
页码:260 / 269
页数:10
相关论文
共 39 条
  • [1] Avery B, 2009, IEEE VIRTUAL REALITY 2009, PROCEEDINGS, P79
  • [2] Bair Alethea S., 2009, Proceedings of the 6th Symposium on Applied Per- ception in Graphics and Visualization, APGV 09, P101
  • [3] Bichlmeier Christoph., 2007, Mixed and Augmented Reality, P129
  • [4] Auditory feedback to support image-guided medical needle placement
    Black, David
    Hettig, Julian
    Luz, Maria
    Hansen, Christian
    Kikinis, Ron
    Hahn, Horst
    [J]. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2017, 12 (09) : 1655 - 1663
  • [5] Auditory and Visio-Temporal Distance Coding for 3-Dimensional Perception in Medical Augmented Reality
    Bork, Felix
    Fuerst, Bernhard
    Schneider, Anja-Katharina
    Pinto, Francisco
    Graumann, Christoph
    Navab, Nassir
    [J]. 2015 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY, 2015, : 7 - 12
  • [6] Brendle Caroline, 2020, Medical Image Computing and Computer Assisted Intervention - MICCAI 2020. 23rd International Conference. Proceedings. Lecture Notes in Computer Science (LNCS 12263), P399, DOI 10.1007/978-3-030-59716-0_38
  • [7] Visualization of Needle Access Pathway and a Five-DoF Evaluation
    Chan, Wing-Yin
    Heng, Pheng-Ann
    [J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2014, 18 (02) : 643 - 653
  • [8] An effective visualization technique for depth perception in augmented reality-based surgical navigation
    Choi, Hyunseok
    Cho, Byunghyun
    Masamune, Ken
    Hashizume, Makoto
    Hong, Jaesung
    [J]. INTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY, 2016, 12 (01) : 62 - 72
  • [9] Augmented reality visualization for CT-guided interventions: System description, feasibility, and initial evaluation in an abdominal phantom
    Das, Marco
    Sauer, Frank
    Schoepf, U. Joseph
    Khamene, Ali
    Vogt, Sebastian K.
    Schaller, Stefan
    Kikinis, Ron
    van Sonnenberg, Eric
    Silverman, Stuart G.
    [J]. RADIOLOGY, 2006, 240 (01) : 230 - 235
  • [10] Fan Z., 2020, HDB ROBOTIC IMAGE GU, P575