Segmentation of Medical Images Based on Extension Detecting Technology

Liu Lin; Huang Ying; He Zhen-hua

doi:10.3969/j.issn.1007-7162.2013.03.004

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Segmentation of Medical Images Based on Extension Detecting Technology

更新时间：2026-05-27

- Segmentation of Medical Images Based on Extension Detecting Technology
- Vol. 30, Issue 3, Pages: 18-22(2013)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1007-7162.2013.03.004
  CLC：
- Online First：30 September 2013，
  
  Published：2013
- 稿件说明：
移动端阅览
刘林, 黄英, 贺振华. 基于可拓检测的医学图像分割[J]. 广东工业大学学报, 2013, 30(3): 18-22.

Liu Lin, Huang Ying, He Zhen-hua. Segmentation of Medical Images Based on Extension Detecting Technology[J]. 2013, 30(3): 18-22.
刘林, 黄英, 贺振华. 基于可拓检测的医学图像分割[J]. 广东工业大学学报, 2013, 30(3): 18-22. DOI： 10.3969/j.issn.1007-7162.2013.03.004.

Liu Lin, Huang Ying, He Zhen-hua. Segmentation of Medical Images Based on Extension Detecting Technology[J]. 2013, 30(3): 18-22. DOI： 10.3969/j.issn.1007-7162.2013.03.004.

摘要

颅内血肿尤其是急性颅内血肿是危害人生命健康的颅内损伤之一.准确分割颅内血肿区域具有重大的临床应用价值.血肿区域医学图像分割技术是实现颅内血肿三维重构及体积计算的关键技术，分割中的难题是如何提高分割精度.本研究建立了颅内血肿医学图像物元模型，提出了将可拓检测物元聚焦与模糊C均值聚类算法相结合的研究方法，解决了模糊C均值聚类算法在颅内血肿医学图像分割中容易陷入局部最优解的问题，从而有效地提高了分割精度.

Abstract

The intracranial hematoma

especially acute intracranial hematoma

is one of intracranial injuries which do harm to human life and health

so accurate segmentation of intracranial hematoma area has significant clinical value. Segmentation of hematoma regional medical images is a key technology to realize intracranial hematoma 3D reconstruction and volume calculation

and the problem with segmentation is how to improve the accuracy. It established a matter-element model for medical images of intracranial hematoma

and proposed a research method which combined extension detecting technology of focusing on matter with the fuzzy C-means (FCM) clustering algorithm

which prevents the FCM clustering algorithm from falling into local optimization in segmentation of intracranial hematoma medical images. Therefore

this method effectively improves the accuracy of segmentation.

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