Cargando…
X23D—Intraoperative 3D Lumbar Spine Shape Reconstruction Based on Sparse Multi-View X-ray Data
Visual assessment based on intraoperative 2D X-rays remains the predominant aid for intraoperative decision-making, surgical guidance, and error prevention. However, correctly assessing the 3D shape of complex anatomies, such as the spine, based on planar fluoroscopic images remains a challenge even...
Autores principales: | Jecklin, Sascha, Jancik, Carla, Farshad, Mazda, Fürnstahl, Philipp, Esfandiari, Hooman |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604813/ https://www.ncbi.nlm.nih.gov/pubmed/36286365 http://dx.doi.org/10.3390/jimaging8100271 |
Ejemplares similares
-
SpineDepth: A Multi-Modal Data Collection Approach for Automatic Labelling and Intraoperative Spinal Shape Reconstruction Based on RGB-D Data
por: Liebmann, Florentin, et al.
Publicado: (2021) -
Introducing a brain-computer interface to facilitate intraoperative medical imaging control – a feasibility study
por: Esfandiari, Hooman, et al.
Publicado: (2022) -
Intraoperative tissue classification methods in orthopedic and neurological surgeries: A systematic review
por: Massalimova, Aidana, et al.
Publicado: (2022) -
Translation of Medical AR Research into Clinical Practice
por: Seibold, Matthias, et al.
Publicado: (2023) -
Keynote: Modern X-ray vision - 3D imaging with sparse data
por: Siltanen, Samuli
Publicado: (2017)