Abstract
Microangiopathy is one form of pathology associated with peripheral neuropathy in diabetes. Capillaries imaged by electron microscopy show a complex textured appearance, which makes segmentation difficult. Considerable variation occurs among boundaries manually positioned by human experts. Detection of region boundaries using Active Contour Models has proved impractical due to the existence of confusing image evidence in the vicinity of these boundaries. Despite the fact that the shapes have no identifying landmarks, the weak constraints imposed by statistical shape modelling combined with genetic search can provide accurate segmentations.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Malik, R.A., Tesfaye, S., Thompson, S.D., Veves, A., Sharma, A.K., Boulton, A.J.M., Ward, J.D.: Microangiopathy in Human Diabetic Neuropathy: Relationship between Capillary Abnormalities and the Severity of Neuropathy. Diabetologia 30, 92–102 (1989)
Byrne, M.J., Graham, J.: Application of Model Based Image Interpretation Methods to Diabetic Neuropathy. In: Proceedings of European Conference on Computer Vision, vol. 2, pp. 272–282 (1996)
Cootes, T.F., Hill, A., Taylor, C.J., Haslam, J.: The Use of Active Shape Models for Locating Structures in Medical Images. Image and Vision Computing 12(6), 355–366 (1994)
Cootes, T.F., Hill, A., Taylor, C.J.: Medical Image Interpretation Using Active Shape Models: Recent Advances. In: 14th International Conference on Information Processing in Medical Imaging, pp. 371–372 (1995)
Laws, K.I.: Textured lmage Segmentation. University of Southern California, l98&0
Cootes, T.F., Taylor, C.J., Cooper, D.H., Graham, J.: Active shape models - their training and application. Computer Vision and Image Understanding 61(1), 38–55 (1995)
Cootes, T.F., Taylor, C.J., Cooper, D.H., Graham, J.: Image search using trained flexible shape models. Advances in Applied Statistics, 111–139 (1994)
Davis, L.: Genetic Algorithms and Simulated Annealing. Pitman, London (1987)
Hill, A., Cootes, T.F., Taylor, C.J.: A Generic System for Image Interpretation Using Flexible Templates. In: BMVC, pp. 276–285 (1992)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Rogers, M., Graham, J., Malik, R.A. (2000). Exploiting Weak Shape Constraints to Segment Capillary Images in Microangiopathy. In: Delp, S.L., DiGoia, A.M., Jaramaz, B. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2000. MICCAI 2000. Lecture Notes in Computer Science, vol 1935. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-40899-4_74
Download citation
DOI: https://doi.org/10.1007/978-3-540-40899-4_74
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-41189-5
Online ISBN: 978-3-540-40899-4
eBook Packages: Springer Book Archive