DoctorEye: A Clinically Driven Multifunctional Platform, for Accurate Processing of Tumors in Medical Images
Emmanouil Skounakis*, 1, 2, Christina Farmaki1, Vangelis Sakkalis1, Alexandros Roniotis1, 3, Konstantinos Banitsas2, Norbert Graf4, Konstantinos Marias1
Identifiers and Pagination:Year: 2010
First Page: 105
Last Page: 115
Publisher Id: TOMINFOJ-4-105
Article History:Received Date: 8/12/2009
Revision Received Date: 1/3/2010
Acceptance Date: 4/3/2010
Electronic publication date: 27/7/2010
Collection year: 2010
open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
This paper presents a novel, open access interactive platform for 3D medical image analysis, simulation and visualization, focusing in oncology images. The platform was developed through constant interaction and feedback from expert clinicians integrating a thorough analysis of their requirements while having an ultimate goal of assisting in accurately delineating tumors. It allows clinicians not only to work with a large number of 3D tomographic datasets but also to efficiently annotate multiple regions of interest in the same session. Manual and semi-automatic segmentation techniques combined with integrated correction tools assist in the quick and refined delineation of tumors while different users can add different components related to oncology such as tumor growth and simulation algorithms for improving therapy planning. The platform has been tested by different users and over large number of heterogeneous tomographic datasets to ensure stability, usability, extensibility and robustness with promising results.
The platform, a manual and tutorial videos are available at: http://biomodeling.ics.forth.gr.
It is free to use under the GNU General Public License.