期刊文献+

一种三维分割算法在超声序列图像分割中的应用 被引量:2

Application of a Three-dimensional Algorithm in the Segmentation of B-Scan Ultrasonic Images
下载PDF
导出
摘要 图像分割在医学超声图像的定量分析和定性分析中具有重要的作用,它直接影响到后续的分析和处理工作。对于具有复杂特性的医学超声图像,传统的图像分割算法难以获得满意的效果。文中提出了基于一维Otsu方法的三维分割算法,具有快速性和准确性的优点。该方法应用于B超图像,实现了序列图像的自动分割,与普通的一维Otsu法相比,具有更好的分割效果。 Image segmentation plays big role in quantitative and qualitative analysis of ultrasound images and it also impacts the subsequent operations. The traditional segmentation algorithms work unsatisfaetorily on the ultrasound image due to image' s complexity. A three-dimensional segmentation algorithm based on the one-dimensional Otsu method is proposed in this paper. The algorithm has the merit of both high speed and accuracy and is applied to the automatic segmentation of serial B-Scan ultrasonic images. It is shown that the im- proved algorithm can obtain better result than one-dimensional Otsu method.
作者 徐园 符影杰
出处 《电子工程师》 2006年第1期34-36,共3页 Electronic Engineer
关键词 OTSU法 B超图像 图像分割 Otsu method, B-scan ultrasonic image, image segmentation
  • 相关文献

参考文献6

二级参考文献21

  • 1[17]Deng J W, Tsui H T. A fast level set method for segmentation of low contrast noisy biomedical images. Pattern Recognition Letters, 2002,23 (1): 161-169
  • 2[1]Chen C M, Lu H H S, Lin Y C. An early vision-based snake model for ultrasound image segmentation. Ultrasound in Med & Biol, 2000,26 (2): 273-285
  • 3[2]Fan L, Braden G A, Herrington D M. Nonlinear wavelet filter for intra-cononary ultrasound images. Proceedings of the 1996 23rd Annual Meeting on Computers in Cardiology, 1996, P41 -44
  • 4[3]AarninkRG, GiesenRJB, HuynenAL, etal. A practical clinical method for method for contour determination in ultrasonographic prostate images. Ultrasound in Med & Biol, 1994, 20 (8): 705 - 717
  • 5[4]Brathwaite P A, Chandran K B, McPherson D D, et al. Lumen detection in human IVUS images using region-growing. Computers in Cardiology, 1996, (9): 37-40
  • 6[5]Mignotte M, Meunier J, Tardif J C. Endocardial boundary estimation and tracking in echocardiographic images using deformable templates and Markov random fields. Pattern Analysis & Application, 2001, (4):256-271
  • 7[7]Lee B, Yan J Y, Zhuang T G. A dynamic programming based algorithm for optimal edge detection in ultrasound images. Proceedings of SPIE, 2001, 4549: 135- 140
  • 8[8]Kass M, Witkin A, Terzopoulos D. Snakes: active contour models.IJCV, 1988, 1 (1): 31-331
  • 9[9]Yoshida H, Keserci B, Casalino D D, et al. Segmentation of liver tumors in Ultrasound Images based on scale-space analysis of the continuous wavelet transform. IEEE international ultrasonics symposium,Oct. 5-8, Sendai, Japan, 1998
  • 10[10]Chen C M, Lu H H S, Lin Y C. An early vision-based snake model for ultrasound image segmentation. Ultrasound in Med & Biol, 2000,26 (2): 273-285

共引文献39

同被引文献13

  • 1Olabarriaga S D,Smeulders A W M.Interaction in the segmentation of medical images:A survey[J].Medical Image Analysis,2001,5:127-142.
  • 2Mathematical morphology[EB/OL]. (2008-09-20) [2008-10-14].http:// en.wikipedia.org/wiki/Mathematical_morphology.
  • 3夏良正.数字图像处理[M].南京:东南大学出版社,1999.43-83.
  • 4WAGNER R F, SMITH S W, SANDRIK J M, et al. Statistics of speckle in ultrasound B-scans [ J ]. IEEE Trans on Sonics and Ultrasonics, 1983, 30 (3) : 156-163.
  • 5BURCKHARDT C B. Speckle in ultrasound B-mode scans [J]. IEEE Trans on Sonics and Ultrasonics, 1978, 25(1) : 1-6.
  • 6GREVERA G J, UDUPA J K. An objective comparison of 3-D image interpolation methods [ J ]. IEEE Trans on Medical Imaging, 1998, 17(4):642-652.
  • 7HERMAN G T, ZHENG J, BUCHOLTZ C A. Shape-based interpolation[ J]. IEEE Computer Graphics and Applications, 1992, 12(3) :69-79.
  • 8LORENSEN W, CLINE H. Marching cubes: a high resolution 3D surface construction algorithm[ J]. ACM Computer Graphics, 1987, 21(4) :163-170.
  • 9唐圣泽.三维数据场可视化[M].北京:清华大学出版社,1999.
  • 10LEVOY M. Display of surfaces from volume data [ J ]. IEEE Computer Graphics and Applications, 1988, 8(3) :29-37.

引证文献2

二级引证文献1

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