Keyword search (4,163 papers available)

"registration" Keyword-tagged Publications:

Title Authors PubMed ID
1 Statistical shape model-based estimation of registration error in computer-assisted total knee arthroplasty Gheflati B; Mirzaei M; Zuhars J; Rottoo S; Rivaz H; 41495592
ENCS
2 A database of magnetic resonance imaging-transcranial ultrasound co-registration Alizadeh M; Collins DL; Kersten-Oertel M; Xiao Y; 39920905
SOH
3 Data-Weighted Multivariate Generalized Gaussian Mixture Model: Application to Point Cloud Robust Registration Ge B; Najar F; Bouguila N; 37754943
ENCS
4 Robust landmark-based brain shift correction with a Siamese neural network in ultrasound-guided brain tumor resection Pirhadi A; Salari S; Ahmad MO; Rivaz H; Xiao Y; 36306056
PERFORM
5 DiffeoRaptor: diffeomorphic inter-modal image registration using RaPTOR Masoumi N; Rivaz H; Ahmad MO; Xiao Y; 36173541
ENCS
6 Multimodal 3D ultrasound and CT in image-guided spinal surgery: public database and new registration algorithms Masoumi N; Belasso CJ; Ahmad MO; Benali H; Xiao Y; Rivaz H; 33683544
PERFORM
7 REtroSpective Evaluation of Cerebral Tumors (RESECT): A clinical database of pre-operative MRI and intra-operative ultrasound in low-grade glioma surgeries. Xiao Y, Fortin M, Unsgård G, Rivaz H, Reinertsen I 28391601
PERFORM
8 A dataset of multi-contrast population-averaged brain MRI atlases of a Parkinson׳s disease cohort. Xiao Y, Fonov V, Chakravarty MM, Beriault S, Al Subaie F, Sadikot A, Pike GB, Bertrand G, Collins DL 28491942
PERFORM
9 Nonlinear deformation of tractography in ultrasound-guided low-grade gliomas resection. Xiao Y, Eikenes L, Reinertsen I, Rivaz H 29299739
PERFORM
10 Combining intraoperative ultrasound brain shift correction and augmented reality visualizations: a pilot study of eight cases. Gerard IJ, Kersten-Oertel M, Drouin S, Hall JA, Petrecca K, De Nigris D, Di Giovanni DA, Arbel T, Collins DL 29392162
PERFORM
11 ARENA: Inter-modality affine registration using evolutionary strategy. Masoumi N, Xiao Y, Rivaz H 30535826
PERFORM
12 Gesture-based registration correction using a mobile augmented reality image-guided neurosurgery system. Léger É, Reyes J, Drouin S, Collins DL, Popa T, Kersten-Oertel M 30800320
PERFORM

 

Title:Gesture-based registration correction using a mobile augmented reality image-guided neurosurgery system.
Authors:Léger ÉReyes JDrouin SCollins DLPopa TKersten-Oertel M
Link:https://www.ncbi.nlm.nih.gov/pubmed/30800320?dopt=Abstract
DOI:10.1049/htl.2018.5063
Publication:Healthcare technology letters
Keywords:GPS-like guidanceaugmented realityaugmented reality neuronavigation systemsbiomedical MRIbrainbrainshiftcomputerised tomographygesture-based methodgesture-based registration correctionimage distortionimage registrationmanual registration correctionmedian registration RMS errormedical image processingmobile augmented reality image-guided neurosurgery systemmobile computingneurophysiologyobject trackingpatient-to-image alignment accuracypreoperative imagessize 3 51 mmsurgeonsurgerysurgical proceduresurgical toolssurgical workflowtablet touchscreen capabilitytracking errors
PMID:30800320 Category:Healthc Technol Lett Date Added:2019-04-15
Dept Affiliation: PERFORM
1 Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada.
2 Department of Biomedical Engineering, McGill University, Montréal, Canada.
3 PERFORM Centre, Concordia University, Montréal, Canada.

Description:

Gesture-based registration correction using a mobile augmented reality image-guided neurosurgery system.

Healthc Technol Lett. 2018 Oct;5(5):137-142

Authors: Léger É, Reyes J, Drouin S, Collins DL, Popa T, Kersten-Oertel M

Abstract

In image-guided neurosurgery, a registration between the patient and their pre-operative images and the tracking of surgical tools enables GPS-like guidance to the surgeon. However, factors such as brainshift, image distortion, and registration error cause the patient-to-image alignment accuracy to degrade throughout the surgical procedure no longer providing accurate guidance. The authors present a gesture-based method for manual registration correction to extend the usage of augmented reality (AR) neuronavigation systems. The authors' method, which makes use of the touchscreen capabilities of a tablet on which the AR navigation view is presented, enables surgeons to compensate for the effects of brainshift, misregistration, or tracking errors. They tested their system in a laboratory user study with ten subjects and found that they were able to achieve a median registration RMS error of 3.51 mm on landmarks around the craniotomy of interest. This is comparable to the level of accuracy attainable with previously proposed methods and currently available commercial systems while being simpler and quicker to use. The method could enable surgeons to quickly and easily compensate for most of the observed shift. Further advantages of their method include its ease of use, its small impact on the surgical workflow and its small-time requirement.

PMID: 30800320 [PubMed]





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