In order to share interesting data located in various institutions, it may be necessary to ensure secure accesses and privacy preservation. For example, it is the case of biomedical images, since they are related to confidential information corresponding to real patients. This paper describes an approach to enable the use of PIMA(GE)2 Lib, Parallel IMAGE processing GEnoa Library, in the the analysis of distributed medical images complying with privacy preservation policy imposed by the owner institutions. To achieve this goal, a set of specialized I/O functions was developed to enable secure remote data access and elaboration, exploiting the Grid infrastructure and without copy data from their original position. The work considers the use of the EGEE infrastructure and the GFAL API. The approach was experimented in the analysis of images obtained through the Tissue MicroArray technique; the tests gave positive results also in the execution time.
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
Tel.: +1 703 830 6300
Fax: +1 703 830 2300 email@example.com
(Corporate matters and books only) IOS Press c/o Accucoms US, Inc.
For North America Sales and Customer Service
West Point Commons
Lansdale PA 19446
Tel.: +1 866 855 8967
Fax: +1 215 660 5042 firstname.lastname@example.org