DoctorEye: A multifunctional open platform for fast annotation and visualization of tumors in medical images

Abstract

This paper describes a flexible and easy-to-use annotation platform (GUI) for quick and precise identification and delineation of tumors in medical images. The design of the platform is clinically driven in order to ensure that the clinician can efficiently and intuitively annotate large number of 3D tomographic datasets. Both manual and well-known semiautomatic segmentation techniques are available in the platform allowing clinician to annotate multiple regions of interest at the same session. Additionally, it includes contour drawing, refinement and labeling tools that can effectively assist in the delineation of tumors. Furthermore, segmented tumor regions can be annotated, labeled, deleted, added and redefined. The platform has been tested over several MRI datasets to assess usability, extensibility and robustness with promising results.

A software prototype for the assessment of tumor treatment response using diffusion and perfusion MR imaging

“…The presented platform is built on three fundamental modules (the "Core Module", the "Plug-in Module" and the "3D Visualization Module" [6]). The Core Module represents the basic functionality of the platform which includes the intuitive graphical user interface, the multi-modal DICOM image handling and processing tools, the tools for creating and controlling of multilayered annotations and a variety of build in methods (necessary for the platform's functionality).…”

“…Based on this architecture, the different technologies concerning cancer image analysis and modeling developed by our group are currently being integrated in a platform called Dr. Eye (available at http://biomodeling.ics.forth.gr/) [6][7] [8], a novel, open access and easy to use platform, for intuitive annotation and/ or segmentation, visualization and growth simulation of tumors. Its development is clinically driven and adopts a modular structure with an open architecture allowing the deployment of plug-in modules from third developers.…”

The VPH Hypermodelling framework for cancer multiscale models in the clinical practice

“…Clinicians are offered visualisation tools (e.g. Dr Eye 4 [11]) to analyse patient data and the hypermodelling framework to predict cancer evolution and the impact of different treatments. The aim of the project is to identify a personalised treatment in a short time to effectively help the clinician to minimise the patient suffering while awaiting treatment and surgery.…”

An innovative mathematical analysis of routine MRI scans in patients with glioblastoma using DoctorEye

“…In all patients cranial MR images were acquired by the use of a 1.5 Tesla wholebody MRI scanner produced by Siemens (Siemens 1.5T MAGNETOM Vision; Figure 3). [128], while the statistical analysis was done using…”