TY - GEN
T1 - Spatially-Aware Displays for Computer Assisted Interventions
AU - Winkler, Alexander
AU - Eck, Ulrich
AU - Navab, Nassir
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - We present a novel display and visual interaction paradigm, which aims at reducing the complexity of understanding the spatial transformations between the surgeon’s viewpoint, the patient, the pre- or intra-operative 2D and 3D data, and surgical tools during computer assisted interventions. To the best of our knowledge, this is the first work in which the traditional interventional display, for example in surgical navigation systems, is registered both to the patient and to the surgeon’s view. The closest concept is that of traditional Augmented Reality windows in which a semitransparent or video see-through display is positioned between the surgeon and the patient. In such cases, the system was providing an AR view into the patient. In the new concept introduced here, the surgeon keeps his/her own direct view to the patient without any need for additional display or direct view augmentation, but the monitor used in the operating room is now registered to the patient and surgeon’s viewpoint. The display could act as fixed viewing frustum or as a mirror frustum relative to the surgeon’s view. This allows the physicians to effortlessly relate their view of tools and patient to the virtual representation of the patient data. In this paper, the first realization and implementation of such a concept is presented and three clinical partners have tested the system and their first feedback is discussed in detail. They unanimously believe that this concept opens the path for facilitating interactive exploration of data and more intuitive navigation guidance in computer assisted interventions.
AB - We present a novel display and visual interaction paradigm, which aims at reducing the complexity of understanding the spatial transformations between the surgeon’s viewpoint, the patient, the pre- or intra-operative 2D and 3D data, and surgical tools during computer assisted interventions. To the best of our knowledge, this is the first work in which the traditional interventional display, for example in surgical navigation systems, is registered both to the patient and to the surgeon’s view. The closest concept is that of traditional Augmented Reality windows in which a semitransparent or video see-through display is positioned between the surgeon and the patient. In such cases, the system was providing an AR view into the patient. In the new concept introduced here, the surgeon keeps his/her own direct view to the patient without any need for additional display or direct view augmentation, but the monitor used in the operating room is now registered to the patient and surgeon’s viewpoint. The display could act as fixed viewing frustum or as a mirror frustum relative to the surgeon’s view. This allows the physicians to effortlessly relate their view of tools and patient to the virtual representation of the patient data. In this paper, the first realization and implementation of such a concept is presented and three clinical partners have tested the system and their first feedback is discussed in detail. They unanimously believe that this concept opens the path for facilitating interactive exploration of data and more intuitive navigation guidance in computer assisted interventions.
KW - Image-guided interventions and surgery
KW - Surgical visualization and mixed
KW - augmented and virtual reality
UR - http://www.scopus.com/inward/record.url?scp=85092687326&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-59716-0_43
DO - 10.1007/978-3-030-59716-0_43
M3 - Conference contribution
AN - SCOPUS:85092687326
SN - 9783030597153
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 451
EP - 460
BT - Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings
A2 - Martel, Anne L.
A2 - Abolmaesumi, Purang
A2 - Stoyanov, Danail
A2 - Mateus, Diana
A2 - Zuluaga, Maria A.
A2 - Zhou, S. Kevin
A2 - Racoceanu, Daniel
A2 - Joskowicz, Leo
PB - Springer Science and Business Media Deutschland GmbH
T2 - 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020
Y2 - 4 October 2020 through 8 October 2020
ER -