Meniscus segmentation and tear detection in the knee MR images by fuzzy c-means method
Yükleniyor...
Dosyalar
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Computer-assisted diagnosis (CAD) studies on medical images have gained momentum recently. The studies in this area facilitates the work of medical specialists and reduces the time cost. In this study, meniscus segmentation and meniscus tears were performed on 10 different knee MR images in the 3-D DESS standard obtained on the sagittal plane. The morphological operations used in image processing are utilized in the preprocessing stage for segmentation and tear detection. The fuzzy c-means (FCM) method was used to segment the knee joint meniscus tissues and to detect tears. It has been noted that the MR images selected from the meniscus tears differ from each other according to their structures. The next phase of this study will be automatically classified the meniscus according to the types of tears. © 2017 IEEE.
Açıklama
25th Signal Processing and Communications Applications Conference, SIU 2017 -- 15 May 2017 through 18 May 2017 -- -- 128703
Anahtar Kelimeler
FCM-Fuzzy C-Means, Medical Image Processing, Medical Segmentation, Meniscus, Meniscus Tears, Computer aided diagnosis, Diagnosis, Fuzzy systems, Image segmentation, Joints (anatomy), Magnetic resonance imaging, Mathematical morphology, Medical computing, Medical image processing, Medical imaging, Signal processing, Computer assisted diagnosis, Fuzzy C mean, Fuzzy C means method, Medical segmentations, Meniscus, Meniscus tears, Morphological operations, Sagittal plane, Image processing
Kaynak
2017 25th Signal Processing and Communications Applications Conference, SIU 2017
