Title :
Adapting Medical Image Processing Tasks to a Scalable Scientific Workflow System
Author :
Hamidian, Hajar ; Shiyong Lu ; Rana, Sohel ; Fotouhi, Farshad ; Soltanian-Zadeh, Hamid
Author_Institution :
Dept. of Comput. Sci., Wayne State Univ., Detroit, MI, USA
fDate :
June 27 2014-July 2 2014
Abstract :
In this paper, we present a web-based medical image processing scientific workflow system called DATAVIEW. This platform is implemented to satisfy the need of physicians to process their data by computer scientists and therefore, overcome the problem of delay for communicating between these two groups and speed up the processing which is very important in emergency conditions. For employing this workflow system, clinicians do not require to install any software tools and can create, save, share, reuse, and run their workflows only using a web browser without knowing the implementation details of the service. For employing the DATAVIEW workflow system for the medical image processing purpose, we extend this workflow system by integrating medical image software tools to this platform which is one of the challenges of this research. Also, in order to provide processing the data in parallel, we integrate high-end computing resource like grids to the system to speed up the processing, which is another challenge for this work. This is very important in medical imaging field because some software tools are very time consuming and in the urgent time, the physicians need to process multiple patients in parallel and get the results fast. As a case study, we choose epilepsy, which is one of the most common brain disorders.
Keywords :
Internet; brain; diseases; medical image processing; software tools; DATAVIEW; Web-based medical image processing scientific workflow system; brain disorders; computer scientists; emergency conditions; epilepsy; high-end computing resource; medical image software tools; medical imaging field; scalable scientific workflow system; software tools; Biomedical imaging; Computers; Databases; Epilepsy; Servers; Software tools; Grid; Scientific Workflow; medical image processing;
Conference_Titel :
Services (SERVICES), 2014 IEEE World Congress on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4799-5068-3
DOI :
10.1109/SERVICES.2014.74