Keyword search (4,163 papers available)

"images" Keyword-tagged Publications:

Title Authors PubMed ID
1 Morphological Changes of Deep Extensor Neck Muscles in Relation to the Maximum Level of Cord Compression and Canal Compromise in Patients With Degenerative Cervical Myelopathy Naghdi N; Elliott JM; Weber MH; Fehlings MG; Fortin M; 36289049
PERFORM
2 FishSegSSL: A Semi-Supervised Semantic Segmentation Framework for Fish-Eye Images Paul S; Patterson Z; Bouguila N; 38535151
ENCS
3 Development and testing of a 2D offshore oil spill modeling tool (OSMT) supported by an effective calibration method Yang Z; Chen Z; Lee K; 36758314
ENCS
4 The Smart in Smart Cities: A Framework for Image Classification Using Deep Learning Al-Qudah R; Khamayseh Y; Aldwairi M; Khan S; 35746171
ENCS
5 Bayesian Learning of Shifted-Scaled Dirichlet Mixture Models and Its Application to Early COVID-19 Detection in Chest X-ray Images Bourouis S; Alharbi A; Bouguila N; 34460578
ENCS
6 COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images. Afshar P, Heidarian S, Naderkhani F, Oikonomou A, Plataniotis KN, Mohammadi A 32958971
ENCS
7 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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