diagnostic and clinical support is performed by using ever improving dICOM image systems. Huge quantity of clinical images are generated from clinical devices with increasing high performance. Nevertheless, extracting...
详细信息
diagnostic and clinical support is performed by using ever improving dICOM image systems. Huge quantity of clinical images are generated from clinical devices with increasing high performance. Nevertheless, extracting useful information from dICOM images for diagnosis as well as integrating information from different data sources is still a complex task. We present eIMES 3d (standing for Evolution Imaging System 3d), a system that supports clinicians for images studies, diagnostic and images reconstruction. The tool has been developed within a project called ReCaTuR for RAre Cancer Network (i.e., Network of Rare Cancer), aiming to define a network for the management, organization anddistribution of medical information. Moreover, it was implemented following the requirements of oncology department of an Italian Hospital. By using eIMES 3d a cancer network data infrastructure has been defined and implemented aiming to integrate information regarding rare and complex diseases. data provided by different departments, external structures and research institutes are used to improve knowledge and to support physicians. eIMES 3d allows (i) full control and management of the data by means of artificial intelligence algorithms;(ii) advanced stereoscopic 3d visualization by using the WebGL innovative technology;(iii) sharing of medical data;(iv) distribution of 3d imaging on different output devices (web, TV, mobile);(v) querying the system through a search of the various case studies. (C) 2017 The Authors. Published by Elsevier B.V.
diagnostic and clinical support is performed by using ever improving dICOM image systems. Huge quantity of clinical images are generated from clinical devices with increasing high performance. Nevertheless, extracting...
详细信息
diagnostic and clinical support is performed by using ever improving dICOM image systems. Huge quantity of clinical images are generated from clinical devices with increasing high performance. Nevertheless, extracting useful information from dICOM images for diagnosis as well as integrating information from different data sources is still a complex task. We present eIMES 3d (standing for Evolution Imaging System 3d), a system that supports clinicians for images studies, diagnostic and images reconstruction. The tool has been developed within a project called ReCaTuR for RAre Cancer Network (i.e., Network of Rare Cancer), aiming to define a network for the management, organization anddistribution of medical information. Moreover, it was implemented following the requirements of oncology department of an Italian Hospital. By using eIMES 3d a cancer network data infrastructure has been defined and implemented aiming to integrate information regarding rare and complex diseases. data provided by different departments, external structures and research institutes are used to improve knowledge and to support physicians. eIMES 3d allows (i) full control and management of the data by means of artificial intelligence algorithms; (ii) advanced stereoscopic 3d visualization by using the WebGL innovative technology; (iii) sharing of medical data; (iv) distribution of 3d imaging on different output devices (web, TV, mobile); (v) querying the system through a search of the various case studies.
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