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Robot-assisted ultrasound reconstruction for spine surgery: from bench-top to pre-clinical study
Purpose. Robot-assisted ultrasound (rUS) systems have already been used to provide non-radiative three-dimensional (3D) reconstructions …
Ruixuan Li
,
Ayoob Davoodi
,
Yuyu Cai
,
Kenan Niu
,
Gianni Borghesan
,
Nicola A. Cavalcanti
,
Aidana Massalimova
,
Fabio Carrillo
,
Christoph Laux
,
Mazda Farshad
,
Philipp Fürnstahl
,
Emmanuel Vander Poorten
Cite
DOI
Automatic breach detection during spine pedicle drilling based on vibroacoustic sensing
Pedicle drilling is a complex and critical spinal surgery task. Detecting breach or penetration of the surgical tool to the cortical …
Aidana Massalimova
,
Maikel Timmermans
,
Nicola A. Cavalcanti
,
Daniel Suter
,
Matthias Seibold
,
Fabio Carrillo
,
Christoph Laux
,
Reto Sutter
,
Mazda Farshad
,
Kathleen Denis
,
Philipp Fürnstahl
Cite
DOI
URL
Deep Homography Prediction for Endoscopic Camera Motion Imitation Learning
In this work, we investigate laparoscopic camera motion automation through imitation learning from retrospective videos of laparoscopic …
Martin Huber
,
Sebastien Ourselin
,
Christos Bergeles
,
Tom Vercauteren
Cite
arXiv
URL
Hyperspectral image segmentation: a preliminary study on the Oral and Dental Spectral Image Database (ODSI-DB)
Visual discrimination of clinical tissue types remains challenging, with traditional RGB imaging providing limited contrast for such …
Luis Carlos Garcia-Peraza-Herrera
,
Conor Horgan
,
Sebastien Ourselin
,
Michael Ebner
,
Tom Vercauteren
Cite
DOI
arXiv
Rapid and robust endoscopic content area estimation: A lean GPU-based pipeline and curated benchmark dataset
Endoscopic content area refers to the informative area enclosed by the dark, non-informative, border regions present in most endoscopic …
Charlie Budd
,
Luis Carlos Garcia-Peraza-Herrera
,
Martin Huber
,
Sebastien Ourselin
,
Tom Vercauteren
Cite
DOI
arXiv
Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: application to surgical imaging
Hyperspectral imaging has the potential to improve intraoperative decision making if tissue characterisation is performed in real-time …
Peichao Li
,
Muhammad Asad
,
Conor Horgan
,
Oscar MacCormac
,
Jonathan Shapey
,
Tom Vercauteren
Cite
DOI
arXiv
Synthetic white balancing for intra-operative hyperspectral imaging
Hyperspectral imaging shows promise for surgical applications to non-invasively provide spatially-resolved, spectral information. For …
Anisha Bahl
,
Conor Horgan
,
Mirek Janatka
,
Oscar MacCormac
,
Philip Noonan
,
Yijing Xie
,
Jianrong Qiu
,
Nicola A. Cavalcanti
,
Philipp Fürnstahl
,
Michael Ebner
,
Mads S. Bergholt
,
Jonathan Shapey
,
Tom Vercauteren
Cite
DOI
arXiv
Intraoperative tissue classification methods in orthopedic and neurological surgeries: a systematic review
Accurate tissue differentiation during orthopedic and neurological surgeries is critical, given that such surgeries involve operations …
Aidana Massalimova
,
Maikel Timmermans
,
Hooman Esfandiari
,
Fabio Carrillo
,
Christoph Laux
,
Mazda Farshad
,
Kathleen Denis
,
Philipp Fürnstahl
Cite
DOI
Robotic Endoscope Control Via Autonomous Instrument Tracking
Many keyhole interventions rely on bi-manual handling of surgical instruments, forcing the main surgeon to rely on a second surgeon to …
Caspar Gruijthuijsen
,
Luis Carlos Garcia-Peraza-Herrera
,
Gianni Borghesan
,
Dominiek Reynaerts
,
Jan Deprest
,
Sebastien Ourselin
,
Tom Vercauteren
,
Emmanuel Vander Poorten
Cite
DOI
arXiv
Deep homography estimation in dynamic surgical scenes for laparoscopic camera motion extraction
Current laparoscopic camera motion automation relies on rule-based approaches or only focuses on surgical tools. Imitation Learning …
Martin Huber
,
Sebastien Ourselin
,
Christos Bergeles
,
Tom Vercauteren
Cite
DOI
arXiv
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