Title :
An improved spatial FCM algorithm for cardiac image segmentation
Author :
Yousefi-Banaem, Hossein ; Kermani, Saeed ; Sarrafzadeh, Omid ; Khodadad, Davood
Author_Institution :
Dept. of Biomed. Eng., Isfahan Univ. of Med. Sci., Isfahan, Iran
Abstract :
Image segmentation is one of challenging field in medical image processing. Segmentation of cardiac wall is one of challenging work and it is very important step in evaluation of heart functionality by existing methods. For cardiac image analysis, Fuzzy C- Means (FCM) algorithm proved to be superior over the other clustering approaches in segmentation field. However, the nave FCM algorithm is sensitive to noise because of not considering the spatial information in the image. In this paper an improved FCM algorithm is formulated by incorporating the spatial domain neighborhood information into the membership function for clustering (ISFCM). In this paper we applied improved Fuzzy c-Means with spatial information for left ventricular wall segmentation. Obtained results showed that the proposed method can segment cardiac wall automatically with acceptable accuracy. The comparison of proposed method with nave FCM proved that ISFCM can segment with more accuracy than nave FCM.
Keywords :
cardiology; fuzzy set theory; image segmentation; medical image processing; ISFCM; cardiac image analysis; cardiac image segmentation; cardiac wall segmentation; fuzzy c- means algorithm; heart functionality; medical image processing; membership function; naive FCM algorithm; segmentation field; spatial FCM algorithm; spatial domain neighborhood information; ventricular wall segmentation; cardiac wall; image segmentation; improved FCM; spatial information;
Conference_Titel :
Fuzzy Systems (IFSC), 2013 13th Iranian Conference on
Conference_Location :
Qazvin
Print_ISBN :
978-1-4799-1227-8
DOI :
10.1109/IFSC.2013.6675656