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基于模糊C均值算法和形态学运算的子宫肌瘤患者MRI子宫分割与体积测量

Uterine segmentation and volume measurement in uterine fibroid patients' MRI using fuzzy C-mean algorithm and morphological operations.

作者信息

Fallahi Alireza, Pooyan Mohammad, Ghanaati Hossein, Oghabian Mohammad Ali, Khotanlou Hassan, Shakiba Madjid, Jalali Amir Hossein, Firouznia Kavous

机构信息

Department of Biomedical Engineering, Hamedan University of Technology, Hamedan, Iran.

出版信息

Iran J Radiol. 2011 Nov;8(3):150-6. doi: 10.5812/kmp.iranjradiol.17351065.3142. Epub 2011 Nov 25.

DOI:10.5812/kmp.iranjradiol.17351065.3142
PMID:23329932
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3522330/
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.

OBJECTIVES

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.

PATIENTS AND 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.

摘要

背景

子宫肌瘤是女性盆腔常见的良性肿瘤。子宫动脉栓塞术（UAE）是通过缩小这些肿瘤的大小来有效治疗有症状子宫肌瘤的方法。子宫区域的分割对于准确的治疗策略至关重要。

目的

在本文中，我们将介绍一种在一组拟行UAE的子宫肌瘤患者的T1加权和增强T1加权磁共振（MR）图像中进行子宫分割的新方法，以便为子宫容积测量提供可靠工具。

患者和方法

首先在T1加权增强图像中使用模糊C均值（FCM）方法对子宫进行分割，然后应用一些形态学操作来细化初始分割。最后，通过将T1加权增强图像中的分割区域覆盖在配准的T1加权图像上并使用直方图阈值化来去除多余部分。使用包含十名患者图像（矢状面、轴位和冠状面视图）的数据集对该方法进行评估。

结果

我们将手动分割的图像与我们系统的输出进行比较，获得的平均相似度为80%，平均敏感度为75.32%，平均特异度为89.5%。手动测量方法与自动测量方法所测面积之间的Pearson相关系数为0.99。

结论

定量结果表明该方法性能良好。通过子宫分割，可以对子宫内的肌瘤进行分割并分析其特性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be97/3522330/2886daf6558d/iranjradiol-08-150-i003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be97/3522330/dfebe994268e/iranjradiol-08-150-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be97/3522330/b7191c3d4cd7/iranjradiol-08-150-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be97/3522330/729072fd325c/iranjradiol-08-150-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be97/3522330/9dc875d75f9f/iranjradiol-08-150-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be97/3522330/492286470c66/iranjradiol-08-150-i001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be97/3522330/d800ee77de1e/iranjradiol-08-150-i002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be97/3522330/2886daf6558d/iranjradiol-08-150-i003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be97/3522330/dfebe994268e/iranjradiol-08-150-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be97/3522330/b7191c3d4cd7/iranjradiol-08-150-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be97/3522330/729072fd325c/iranjradiol-08-150-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be97/3522330/9dc875d75f9f/iranjradiol-08-150-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be97/3522330/492286470c66/iranjradiol-08-150-i001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be97/3522330/d800ee77de1e/iranjradiol-08-150-i002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be97/3522330/2886daf6558d/iranjradiol-08-150-i003.jpg

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