title: Uterine segmentation and volume measurement in uterine fibroid patients' MRI using fuzzy C-mean algorithm and morphological operations.
abstract: BACKGROUND
  Uterine fibroids are common benign tumors of the female pelvis. Uterine artery embolization (UAE) is an effective treatment of symptomatic uterine fibroids by shrinkage of the size of these tumors. Segmentation of the uterine region is essential for an accurate treatment strategy.
  
  
  OBJECTIVE
  In this paper, we will introduce a new method for uterine segmentation in T1W and enhanced T1W magnetic resonance (MR) images in a group of fibroid patients candidated for UAE in order to make a reliable tool for uterine volumetry.
  
  
  METHODS
  Uterine was initially segmented using Fuzzy C-Mean (FCM) method in T1W-enhanced images and some morphological operations were then applied to refine the initial segmentation. Finally redundant parts were removed by masking the segmented region in T1W-enhanced image over the registered T1W image and using histogram thresholding. This method was evaluated using a dataset with ten patients' images (sagittal, axial and coronal views).
  
  
  RESULTS
  We compared manually segmented images with the output of our system and obtained a mean similarity of 80%, mean sensitivity of 75.32% and a mean specificity of 89.5%. The Pearson correlation coefficient between the areas measured by the manual method and the automated method was 0.99.
  
  
  CONCLUSIONS
  The quantitative results illustrate good performance of this method. By uterine segmentation, fibroids in the uterine may be segmented and their properties may be analyzed.
authors: Department of Biomedical Engineering, Hamedan University of Technology, Hamedan, Iran.
authors: Alireza
authors: A
authors: Fallahi
authors: Mohammad
authors: M
authors: Pooyan
authors: Hossein
authors: H
authors: Ghanaati
authors: Mohammad Ali
authors: MA
authors: Oghabian
authors: Hassan
authors: H
authors: Khotanlou
authors: Madjid
authors: M
authors: Shakiba
authors: Amir Hossein
authors: AH
authors: Jalali
authors: Kavous
authors: K
authors: Firouznia
keywords: Magnetic Resonance Imaging; Patients; Uterine Fibroids