期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

应用迭代四叉树的肝脏MR图像分割

Liver MR image segmentation with iterative quadtree decomposition
下载PDF
导出
摘要 磁共振(Magnetic Resonance,MR)图像的诊断是公认的确认肝脏有无肿瘤等器质性病变的金标准方法,因此肝脏的正确分割对计算机辅助诊断有非常重要的意义。由于脏器组织浸润和个体差异,在肝脏分割实现方法方面有一定难度,目前尚没有通用的医学分割方法。在既有研究的基础上,提出了基于四叉树的迭代分割算法,得到MR图像中肝脏的自动分割结果。实验分割结果表明这种方法的可行性和优势,并为后续的肿瘤提取奠定基础。 Magnetic Resonance（MR）images are generally acknowledged as a golden standard for diagnosis of liver tumors.Therefore a good liver segmentation result is very important to computer-aided-diagnosis.Because of infiltrations among the internal organs and their individual differences,it is difficult for a liver segmentation and there is no universal medical method of segmentation.In this paper,on the basis of formal research,an iterative quadtree decomposition algorithm is put forward and liver image is segmented automatically.Experimental results show its feasibility and advantages and lay a foundation for the tumor extraction.
作者 迟冬祥 程伟中
机构地区 上海电机学院电子信息学院 复旦大学附属中山医院放射科
出处 《计算机工程与应用》 CSCD 北大核心 2010年第9期142-145,共4页 Computer Engineering and Applications
基金 上海市教育委员会科研创新项目资助(No.08YZ192) 上海电机学院科研启动项目资助(No.07C402)
关键词 磁共振图像 迭代四叉树 肝脏分割 Magnetic Resonance Image（MRI） iterative quadtree decomposition liver segmentation
分类号 TP391 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献15

  • 1Ibrahim H,Petrou M,Wells K,et al.Preprocessing for use in automatic volumetric liver sdgmentation from NMR data[C]//Nuclear Science Symposium Conference Record 5,2004:2783-2787.
  • 2Guo Lei,Liu Xue-na,Wu You-xi,et al.Adaptive template filtering method for MRI[C]//Proeeedings of the 28th IEEE EMBS Annual International Conference, New York City, USA, 2006:1371-1374.
  • 3Vovk U,Pernus F,Likar B.A review of methods for correction of intensity inhomogeneity in MRI[J].IEEE Trans on Medical Imaging, 2007,26 ( 3 ) : 405 -421.
  • 4Jiang Hui-yan,Fujita H.Research on segmentation method of multi-region liver image[C]//Pr0ceedings of the 6th World Congress on Intelligent Control and Automation,Dalian,China,2006,2:9992-9995.
  • 5Massoptier L,Casciaro S.Fully automatic liver segmentation through graph-cut technique[C]//29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society,2007:5243- 5246.
  • 6Krishnamurthy C,Rodriguez J J,Gillies R J.Snake-based liver lesion segmentation[C]//6th IEEE Southwest Symposium on Image Analysis and Interpretation,2004:187-191.
  • 7Huang Shao-hui,Wang Bo-liang,Huang Xiao-yang.Using GVF snake to segment liver from CT images[C]//Proceedings of the 3rd IEEE-EMBS,International Summer School and Symposium on Medical Devices and Biosensors,2006:145-148.
  • 8Lu Rui,Marziliano P,Thng C H.Liver tumor volumn estimation by semi-automatic segmentation method[C]//27th Annual International Conference Engineering in Medicine and Biology Society,2006: 3296-3299.
  • 9Pavlidis T,Liow Y T.Integrating region growing and edge detection[J].IEEE Trans on Pattern Analysis and Machine Intelligence, 1990, 12(3) : 225-233.
  • 10Heesung K,Der S Z,Nasrabadi N M.An adaptive hierarchical segmentation algorithm based on quadtree decomposition for hyperspectral imagery[C]//2000 International Conference on Image Processing, 2000,1 : 776-779.

二级参考文献7

  • 1[3]Ibrahim H,Petrou M,Wells K,et al.Preprocessing for Use in Automatic Volumetric Liver Segmentation from NMR Data[J].IEEE Nuclear Science Symposium Conference Record,2004,5(10):2783-2787.
  • 2[4]Guo Lei,Liu Xuena,Wu Youxi,et al.Adaptive Template Filtering Method for MRI[C]//Proceedings of the 28th IEEE EMBS Annual International Confer-ence.New York:IEEE,2006:1371-1364.
  • 3[5]Vovk U,Pernǔs F,Likar B.A Review of Methodsfor Correction of Intensity Inhomogeneity in MRI[J].IEEE Transactions on Medical Imaging,2007,26(3):405-421.
  • 4[6]Jiang Huiyan,Hiroshi Fujita.Research on Segmenta-tion Method of Multi-region Liver Image[C]//Pro-ceedings of the 6th World Congress on Intelligent Con-trol and Automation.Dalian,China:IEEE,2006.21-23.
  • 5[7]Massoptier L,Casciaro S.Fully Automatic Liver Seg-mentation through Graph-cut Technique[C]//Pro-ceedings of the 29th Annual International Conferenceof the IEEE EMBS.Lyon,France:IEEE,2007:5243-5246.
  • 6[8]Krishnamurthy C,Rodriguez J J,Gillies R J.Snake-based Liver Lesion Segmentation[C]//6th IEEE Southwest Symposium on Image Analysis and Inter-pretation.Lake Tahoe,CA:IEEE,2004:187-191.
  • 7[9]Huang Shaohui,Wang Boliang,Huang Xiaoyang.U-sing GVF Snake to Segment Liver from CT Images[C]//3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors.Cambridge,MA:IEEE,2006:145-148.

共引文献4

计算机工程与应用
2010年 第9期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部