Advanced search
Publication Cover
The Imaging Science Journal Volume 61, 2013 - Issue 7
Submit an article Journal homepage
95
Views
5
CrossRef citations to date
0
Altmetric
Original Article

Segmentation of liver in ultrasonic images applying local optimal threshold method

M F ChenZhangshu People’s Hospital, Zhangshu, 331200, China
,
H S Zhu Jiangxi Normal UniversityNanchang, 330027, China
&
H J ZhuSchool of Information Science and Technology, Beijing University of Chemical Technology, Beijing100029, ChinaCorrespondence[email protected]
Pages 579-591 | Accepted 09 Jun 2012, Published online: 18 Nov 2013

REFERENCES

  • Chen CM, Lu HHS, Lin YC. An early vision-based snake model for ultrasound image segmentation. Ultrasound Med. Biol., 2000, 26, 273–285.
  • Binder T, Sussner M, Moertl D, Strohmer H, Baumgartner T, Maurer G, Porenta G. Artificial neural networks and spatial temporal contour linking for automated endocardial contour detection on echocardiograms: a novel approach to determine left ventricular contractile function. Ultrasound Med. Biol., 1999, 25, 1069–1076.
  • Mitchell SC, Bosch JG, Lelieveldt BPF, van der Geest RJ, Reiber JHC, Sonka M. 3-D active appearance models: segmentation of cardiac MR and ultrasound images. IEEE Trans. Med. Imag., 2002, 21, 1167–1178.
  • Shen D, Zhan Y, Davatzikos C. Segmentation of prostate boundaries from ultrasound images using statistical shape model. IEEE Trans. Med. Imag., 2003, 22, 539–551.
  • Xie J, Jiang Y, Tsui H.-T. Segmentation of kidney from ultrasound images based on texture and shape priors. IEEE Trans. Med. Imag., 2005, 24, 45–57.
  • Martin-Fernandez M, Alberola-Lopez C. An approach for contour detection of human kidneys from ultrasound images using Markov random fields and active contours. Med. Image Anal., 2005, 9, 1–23.
  • Noble JA. Ultrasound image segmentation: a survey. IEEE Trans. Med. Imag., 2006, 25, 987–1010.
  • Cvancarova M, Albregtsen TF, Brabrand K, Samset E. Segmentation of ultrasound images of liver tumors applying snake algorithms and GVF. Int. Cong. Series, 2005, 1281, 218–223.
  • Milko S, Samset E, Kadir T. Segmentation of the liver in ultrasound: a dynamic texture approach. Int. J. Comput. Assist. Radiol. Surg., 2008, 3, 143–150.
  • Piyasena RV, Allison SJ. Ultrasound imaging of liver and renal transplantation. Appl. Radiol., 2008, 37, 10–20.
  • Min ZF, Song EM, Jin RC, Li GK. B-scan ultrasound image feature extraction for quantitative grading of fatty liver severity. J. Couputer-Aided Des. Comput. Graph., 2009, 21, 752–757 (in Chinese).
  • Poonquzhali S, Ravindran G. Automated detection of abnormal masses in ultrasound images. Int. J. Biomed. Eng. Technol., 2008, 1, 250–258.
  • Nowatschin S, Markert M, Weber S, Lueth TC. A system for analyzing intra-operative B-mode ultrasound scans of the liver, Proc. Annual Int. Conf. of the IEEE Engineering in Medicine and Biology, Lyon, France, August 2007, IEEE Engineering in Medicine and Biology Society, pp. 1346–1349.
  • Shrimali V, Anand RS, Kumar V. Comparing the performance of ultrasonic liver image enhancement techniques: a preference study. IETE J. Res., 2010, 56, 4–10.
  • Ostu N. Discriminate and least square threshold selection, Proc. Int. Conf. on Pattern recognition: ICPR ’78, Kyoto, Japan, November 1978, International Association of Pattern Recognition (IAPR), pp. 592–596.
  • Chi DZ, Gang T, Gao SS. Background removal and weld crack detection based on energy distribution of image. China Weld. (English Edition), 2007, 16, 14–18.
  • Yang Y. Segmentation of lung fields based on Otsu and topical threshold in chest radio graphs. Electr. Sci. Technol., 2010, 23, 11–14.
  • Canny J. A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell., 1986, 8, 679–698.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.