DOI QR코드

DOI QR Code

Implementation of 2D Active Shape Model-based Segmentation on Hippocampus

  • Izmantoko, Yonny S. (Dept. of Computer Engineering, UHRC, Inje University) ;
  • Yoon, Ho-Sung (Dept. of Computer Engineering, UHRC, Inje University) ;
  • Adiya, Enkhbolor (Dept. of Computer Engineering, UHRC, Inje University) ;
  • Mun, Chi-Woong (Dept. of Biomedical Engineering, Inje University) ;
  • Huh, Young (Korea Evaluation Institute of Industrial Technology) ;
  • Choi, Heung-Kook (Dept. of Computer Engineering, UHRC, Inje University)
  • Received : 2013.10.01
  • Accepted : 2013.11.12
  • Published : 2014.01.31

Abstract

Hippocampus is an important part of brain which is related with early memory storage and spatial navigation. By observing the anatomy of hippocampus, some brain diseases effecting human memory (e.g. Alzheimer, schizophrenia, etc.) can be diagnosed and predicted earlier. The diagnosis process is highly related with hippocampus segmentation. In this paper, hippocampus segmentation using Active Shape Model, which not only works based on image intensity, but also by using prior knowledge of hippocampus shape and intensity from the training images, is proposed. The results show that ASM is applicable in segmenting hippocampus from whole brain MR image. It also shows that adding more images in the training set results in better accuracy of hippocampus segmentation.

Keywords

References

  1. International Survey Highlights Great Public Desire to Seek Early Diagnosis of Alzheimer's, http://www.hsph.harvard.edu/news/pressreleases/alzheimers-international-survey, 2013.
  2. Y.Y. Sitoh, J. Karthik, J.C. Rajapakse, W.T. Hong, W.L. Lee, S. Sahadevan, and J.J. Chin, "Cerebral and Hippocampal Volumetry in Early Alzheimer'sdisease," Proc. of the 9th Int. Conf. on Neural Inf. Process., Vol. 3, pp. 1523-1526, 2002.
  3. D.P. Jang, D.S. Lee, and S.I. Kim, "Contour detection of Hippocampus using Dynamic contour Model and Region Growing," Proc. of the 19th Annu. Int. Conf. of the IEEE on Eng. in Med. and Biol. Soc., Vol. 2, pp. 763-766, 1997.
  4. X. Lu and S. Luo, "Segmentation of Hippocampus in MRI using Watersnakes," IEEE Int. Conf. on Complex Med. Eng., pp. 552-555, 2007.
  5. D. Shen, S. Moffat, S. M. Resnick, and C. Davatzikos, "Measuring Size and Shape of the Hippocampus in MR Imagesusing a Deformable Shape Model," NeuroImage, Vol. 15, No. 2, pp. 422-434, 2002. https://doi.org/10.1006/nimg.2001.0987
  6. M. Chupin, G. Chetelat, L. Lemieux, B. Dubois, L. Garnero, H. Benali, F. Eustache, S. Lehericy, B. Desgranges, and O. Colliot, "Fully Automatic Hippocampus Segmentation Discriminates between Early Alzheimer's Disease and Normal Aging," 5th IEEE Int. Symp. on Biomed. Imaging, pp. 97-100, 2008.
  7. T.F. Cootes, C.J. Taylor, D.H. Cooper, and J. Graham, "Active Shape Models - Their Training and Application," Comput. Vis. and Image Underst., Vol. 51, No. 1, pp. 38-59, 1995.
  8. A. Enkhbolor; I. Yonny S.; H.K. Choi, H, "Comparison of Active Contour and Active Shape Approaches for Corpus Callosum Segmentation," J . Korea Multimedia Soc, Vol. 16, No. 9, pp. 1018-1030, 2013. https://doi.org/10.9717/kmms.2013.16.9.1018
  9. T.F. Cootes and C.J. Taylor, Statistical Models of Appearance for Computer Vision, University of Manchester, Manchester, 2004.
  10. S. Nyamlkhagva, S. Altansukh, A. Enkhbolor, H.K. Choi, "Contrast Enhancement for Segmentation of Hippocampus on Brain MR Images," J . Korea Multimedia Soc, Vol. 15, No. 12, pp. 1409-1416, 2012. https://doi.org/10.9717/kmms.2012.15.12.1409
  11. B. van Ginneken, A.F. Frangi, J.J. Staal, B.M. ter Haar Romeny, and M.A. Viergever, "Active Shape Model Segmentation with Optimal Features," IEEE Trans. on Med. Imaging, Vol. 21, No. 8, pp. 924-933, 2002. https://doi.org/10.1109/TMI.2002.803121
  12. M. Benjelloun, S. Mahmoudi, and F. Lecron, "A Framework of Vertebra Segmentation using the Active Shape Model-Based Approach," Int. J . of Biomed. Imaging, Vol. 2011, No. 9, pp. 1-14, 2011.

Cited by

  1. Compar ison of Level Set-based Active Contour Models on Subcor tical Image Segmentation vol.18, pp.7, 2015, https://doi.org/10.9717/kmms.2015.18.7.827
  2. Hippocampus Segmentation and Classification in Alzheimer's Disease and Mild Cognitive Impairment Applied on MR Images vol.20, pp.2, 2014, https://doi.org/10.9717/kmms.2017.20.2.205