Marker-less real-time intra-operative camera and hand-eye calibration procedure for surgical augmented reality.
augmented reality
augmented reality rendering
average target registration error
biomedical optical imaging
calibration
camera calibration
camera intrinsic matrix estimation
cameras
da Vinci robot
endoscope
endoscopes
hand-eye calibration procedure
hand-eye transformation
high visual error
image registration
marker-less real-time intra-operative camera
medical image processing
medical robotics
phantoms
pre-operative medical data
prostate phantom
rendering (computer graphics)
robot vision
subsequent gradient descent steps
surgery
surgical augmented reality
virtual rendered tool tip
Journal
Healthcare technology letters
ISSN: 2053-3713
Titre abrégé: Healthc Technol Lett
Pays: England
ID NLM: 101646459
Informations de publication
Date de publication:
Dec 2019
Dec 2019
Historique:
received:
25
09
2019
accepted:
02
10
2019
entrez:
11
2
2020
pubmed:
11
2
2020
medline:
11
2
2020
Statut:
epublish
Résumé
Accurate medical Augmented Reality (AR) rendering requires two calibrations, a camera intrinsic matrix estimation and a hand-eye transformation. We present a unified, practical, marker-less, real-time system to estimate both these transformations during surgery. For camera calibration we perform calibrations at multiple distances from the endoscope, pre-operatively, to parametrize the camera intrinsic matrix as a function of distance from the endoscope. Then, we retrieve the camera parameters intra-operatively by estimating the distance of the surgical site from the endoscope in less than 1 s. Unlike in prior work, our method does not require the endoscope to be taken out of the patient; for the hand-eye calibration, as opposed to conventional methods that require the identification of a marker, we make use of a rendered tool-tip in 3D. As the surgeon moves the instrument and observes the offset between the actual and the rendered tool-tip, they can select points of high visual error and manually bring the instrument tip to match the virtual rendered tool tip. To evaluate the hand-eye calibration, 5 subjects carried out the hand-eye calibration procedure on a da Vinci robot. Average Target Registration Error of approximately 7mm was achieved with just three data points.
Identifiants
pubmed: 32038867
doi: 10.1049/htl.2019.0094
pii: HTL.2019.0094
pmc: PMC6952262
doi:
Types de publication
Journal Article
Langues
eng
Pagination
255-260Références
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