Interactive segmentation of volumetric medical images for collaborative telemedicine

Authors:
Jérôme Schmid;Niels Nijdam;Seunghyun Han;Jinman Kim;Nadia Magnenat-Thalmann
Affiliations:
MIRALab, University of Geneva, Switzerland;MIRALab, University of Geneva, Switzerland;MIRALab, University of Geneva, Switzerland;MIRALab, University of Geneva, Switzerland;MIRALab, University of Geneva, Switzerland
Venue:
3DPH'09 Proceedings of the 2009 international conference on Modelling the Physiological Human
Year:
2009

Citing 12
Cited 0

Implementing Fast Cloth Simulation with Collision Response

CGI '00 Proceedings of the International Conference on Computer Graphics
Improving the Performance of Distributed Virtual Environment Systems

IEEE Transactions on Parallel and Distributed Systems
Group-Slicer: a collaborative extension of 3D-slicer

Journal of Biomedical Informatics
On Consistency and Network Latency in Distributed Interactive Applications: A Survey—Part II: Presence 2005: Eighth International Workshop I

Presence: Teleoperators and Virtual Environments
ATLAS: A Scalable Network Framework for Distributed Virtual Environments

Presence: Teleoperators and Virtual Environments
Mobile collaborative medical display system

Computer Methods and Programs in Biomedicine
MRI Bone Segmentation Using Deformable Models and Shape Priors

MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
A shape-guided deformable model with evolutionary algorithm initialization for 3D soft tissue segmentation

IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Automatic segmentation of bladder and prostate using coupled 3D deformable models

MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Anatomical modelling of the musculoskeletal system from MRI

MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Real-time teleconsultation with high-resolution and large-volume medical images for collaborative healthcare

IEEE Transactions on Information Technology in Biomedicine
Automatic segmentation of the pelvic bones from CT data based on a statistical shape model

EG VCBM'08 Proceedings of the First Eurographics conference on Visual Computing for Biomedicine

Quantified Score

Hi-index	0.00

Visualization

Abstract

Teleradiology, which enables distribution and sharing of digital medical images for collaborative diagnosis, has enjoyed rapid success due to the advances in telecommunication and multimedia technologies. However, the interactive collaboration mechanisms that control the editing among multiple users on the same object is often limited to simple ‘locking' concept, where only one user edits an object, while all other users become only viewers. In this study, we introduce a new collaborative mechanism for networked teleradiology systems, demonstrated with the collaborative segmentation of 3D medical images. Our system enables concurrent annotation / region of interest (ROI) control by multiple users on the same image data, which can be useful for collaborative diagnosis as well as for teaching and training purposes. A preliminary prototype system is developed and the result suggests a promising collaborative mechanism for teleradiology applications.