Gallbladder Segmentation from 2–D Ultrasound Images Using Active Contour Models and Gradient Vector Flow
Extracting the shape of the gallbladder from an ultrasonography (USG) image is an important step in software supporting medical diagnostics, as it allows superfluous information which is immaterial in the diagnostic process to be eliminated. In this project, several active contour models were used to segment the shape of the gallbladder, both for cases free of lesions, and for those showing specific disease units, namely: lithiasis, polyps, and anatomical changes, such as folds of the gallbladder. The approximate edge of the gallbladder is found by applying one of the active contour models like the membrane and motion equation as well as the gradient vector flow model (GVF-snake). Then, the fragment of the image located outside the identified gallbladder contour is eliminated from the image. The tests carried out showed that the average value of the Dice similarity coefficient for the three active contour models applied reached 81.8%.
KeywordsNodal Point Active Contour Motion Equation Gradient Vector Deformable Model
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- 3.Bodzioch, S.: Information reduction in digital image and its influence on the improvement of recognition process. Automatics, Semi-annual Journal of the AGH University of Science an Technology 8(2), 137–150 (2004)Google Scholar
- 5.Cvancarova, M., Albregtsen, T.F., Brabrand, K., Samset, E.: Segmentation of ultrasound images of liver tumors applying snake algorithms and GVF. International Congress Series (ICS), pp. 218–223 (2005)Google Scholar
- 6.Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 3rd edn. Prentice Hall, Englewood Cliffs (2008)Google Scholar
- 10.Neuenschwander, W., Fua, P., Kuebler, O.: From Ziplock Snakes to Velcro Surfaces. In: Automatic Extraction of Man Made Objects from Aerial and Space Images, pp. 105–114. Birkhaeuser Verlag Basel, Monte Verita (1995)Google Scholar
- 12.Roberts, M.G., Cootes, T.F., Adams, J.E.: Automatic segmentation of lumbar vertebrae on digitised radiographs using linked active appearance models. Proc. Medical Image Understanding and Analysis 2, 120–124 (2006)Google Scholar
- 13.Szczypiński, P., Strumiłło, P.: Application of an Active Contour Model for Extraction of Fuzzy and Broken Image Edges. Machine GRAPHICS & VISION 5(4), 579–594 (1996)Google Scholar
- 15.Xu, C., Prince, J.L.: Gradient vector flow: A new external force for snakes. In: IEEE Proc. Conf. on Computer Vision and Pattern Recognition, pp. 66–71 (1997)Google Scholar