KEIRON

Project objectives

The project aims to identify and design a suite of powerful, professional tools that are truly useful for medical staff, creating a new market segment on non-dedicated platforms, with a particular emphasis on mobile use. The biomedical software application sector, from its inception until a few years ago, was restricted to use on dedicated machines with closed specifications. Typically, computer-based diagnostic tools were developed and supplied to healthcare facilities along with hardware. This situation has recently changed; software applications and development environments have emerged on open-source platforms. In this rapidly evolving landscape, advanced, professional diagnostic tools are still lacking on these open, non-dedicated platforms. KEIRON is a cross-platform application, designed for OS X and iOS, as a medical diagnostics tool. The application allows users to view, analyze, and annotate diagnostic data from healthcare facility PACS archives (particularly radiographic material stored in the DICOM standard), updating the archives themselves. The software features a section of diagnostic tools such as:

• Post-contrast Dynamic Contrast Enhancement (DCE) analysis (DyCoH)

• Volumetric evaluation of nodular lesions during oncological follow-up

• Tissue-based segmentation of MR images.

These tools, developed in a cross-platform manner, allow users to use the same tools, with the same operating modes, both at fixed locations within operating facilities and on the move. Furthermore, the system features a semantic robot, ESAUDIRE (Expert System for the AUTOMATIC Understanding of Diagnostic Reports), which produces a knowledge base aimed at supporting semantic searches for reports and assisting physicians in the reporting phase. The software developed by our research project is scalable (it supports various diagnostic modalities: US, CT, MR) and versatile (accessible from different locations: PCs in reporting rooms, PCs in clinical departments, etc.) and aims to offer the opportunity for greater collaboration between different medical professionals (radiologist, surgeon, oncologist, radiation oncologist) involved in patient management.

Official website: http://facies.dia.uniroma3.it/

Start and end date

01/12/2010 - 30/11/2012

Project Manager

Prof. Roberto Setola

Coordinating institution of the project

Digital Video SpA

Other Institutions involved

• Università Campus Bio-Medico di Roma - Automatic Research Unit

• Università Campus Bio-Medico di Roma - Diagnostic Imaging Research Unit

• Expert System

Funding source(s).

Lazio region