AWERProcedia Information Technology & Computer Science Vol 04 (2013) 379-383 3 rd World Conference on Innovation and Computer Sciences 2013 DiĐoŵ AutoŵatiĐ SegŵeŶtatioŶ for OrgaŶs’ Properties Dataďase Design Monica Leba *, Electrical and Computer Engineering Department, University of Petrosani, Str.Universitatii 20, Petrosani, 332006, Romania. Florin Badea, Electrical and Computer Engineering Department, University of Petrosani, Str.Universitatii 20, Petrosani, 332006, Romania. Dragos Apostu , Medical Student, University of Medicine and Pharmacy Cluj-Napoca, Romania. Ioan Dumitru Anghel, Medical Student, University of Medicine and Pharmacy Cluj-Napoca, Romania. Lucian Craciun, Medical Student, University of Medicine and Pharmacy Cluj-Napoca, Romania. Suggested Citation: Leba M., Badea F., Apostu D., Anghel D., I. & Craciun L. DiĐoŵ AutoŵatiĐ segŵeŶtatioŶ for orgaŶs’ properties database design. AWERProcedia Information Technology & Computer Science. [Online]. 2013, 05, pp 379- 383. Available from: www.awer-center.org/pitcs Received November 13, 2012; revised February 12, 2013; accepted March 29, 2013. “eleĐtioŶ aŶd peer reǀieǁ uŶder respoŶsiďilitLJ of Prof. Dr. FahrettiŶ “adıkoglu, Near East UŶiǀer sity. ©ϮϬϭϯ AĐadeŵiĐ World EduĐatioŶ & ResearĐh CeŶter. All rights reserǀed. Abstract An important application of Dicom files is to use the image processing techniques in order to identify different organs or parts of organs, through segmentation. There are a lot of methods and algorithms employed in medical images semiautomatic segmentation and also many programs dedicated to specific functions and organs. The aim is to find new algorithms in order to have automatic segmentation capabilities for every organ and to compare the result to a database which can alert the doctor about a certain pathology which can be overlooked. The main objective of our research is to use segmentation algorithms for MRI (CT) Dicom files to identify different organs and to determine their properties, like diŵeŶsioŶs, area, ǀoluŵe etĐ iŶ order to produĐe a dataďase ĐoŶtaiŶiŶg these orgaŶs’ properties together ǁith data regarding the anonymised patient, like age, weight, height, sex, race, residence etc. There were used: sets of Dicom anonymised files from MRI (CT) laboratories from two different regions in Romania and dedicated software developed based on an own algorithm for lungs segmentation, which also determines the lung volume. There was developed a dedicated software application based on an own algorithm for the lungs segmentation. The algorithm was previously validated through MatLab simulation. Based on the elements identified by this software there were obtained the data regarding patients and the values representing the luŶgs’ diŵeŶsioŶs. All these represeŶt the priŵarLJ data for our dataďase. Keywords: Dicom, automatic segmentation, database, orgaŶs’ properties; * ADDRESS FOR CORRESPONDENCE: Monica Leba, Electrical and Computer Engineering Department, University of Petrosani, Str.Universitatii 20, Petrosani, 332006, Romania, E-mail Address: monicaleba@yahoo.com / Tel.: +4-073-698-0865