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An improved spatial FCM algorithm for cardiac image segmentation

Yousefi-Banaem, Hossein (författare)
Department of Biomedical Engineering, Faculty of Advance Medical Technology, Isfahan University of Medical Science, Isfahan Iran,Isfahan University of Med. Sci., Iran
Kermani, Saeed (författare)
Department of Biomedical Engineering, Faculty of Advance Medical Technology, Isfahan University of Medical Science, Isfahan Iran,Isfahan University of Med. Sci., Iran
Sarrafzadeh, Omid (författare)
Department of Biomedical Engineering, Faculty of Advance Medical Technology, Isfahan University of Medical Science, Isfahan Iran,Isfahan University of Med. Sci., Iran
visa fler...
Khodadad, Davood, 1985- (författare)
Luleå tekniska universitet,Strömningslära och experimentell mekanik,Luleå University of Technology
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Department of Biomedical Engineering, Faculty of Advance Medical Technology, Isfahan University of Medical Science, Isfahan Iran Isfahan University of Med Sci., Iran (creator_code:org_t)
Piscataway, NJ : IEEE, 2013
2013
Engelska.
Ingår i: 2013 13th Iranian Conference on Fuzzy Systems (IFSC). - Piscataway, NJ : IEEE. - 9781479912285 ; , s. 1-4
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
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  • 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.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Medical Engineering -- Medical Image Processing (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Teknisk mekanik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Applied Mechanics (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Kardiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cardiac and Cardiovascular Systems (hsv//eng)

Nyckelord

cardiology
fuzzy set theory
image segmentation
medical image processing
spatial FCM algorithm
cardiac image segmentation
cardiac wall segmentation
heart functionality
cardiac image analysis
fuzzy c- means algorithm
segmentation field
naive FCM algorithm
spatial domain neighborhood information
membership function
ISFCM
ventricular wall segmentation
Biomedical imaging
Clustering algorithms
Motion segmentation
Noise
Accuracy
Magnetic resonance imaging
improved FCM
spatial information
cardiac wall
Experimentell mekanik

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