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Application of Artificial Neural Networks in Automatic Cartilage Segmentation
conference contribution
posted on 2023-05-23, 04:58 authored by Long, NQ, Jiang, D, Chang-Hai DingChang-Hai DingMagnetic resonance imaging of articular cartilage has recently been recognized as the best non-invasive tool to visualize the cartilage morphology, biochemistry and function. In this paper, the challenging issue of automatic determining the cartilage volume is tackled. First, algorithms based on classical segmentation methods such as thresholding, poly-fitting, and average weight calculating are combined and tailored to develop a clustered segmentation method. Second, artificial neural network (ANN) is applied to improve the developed method by better coping with the nonlinearity and unidentified MRI image noises. This ANN is then applied with the active contour models (Snake) to provide the desirable outcome. Computational examples are given to justify our analysis and demonstrate the proposed method.
History
Publication title
Proceedings of IWACI2010Editors
Yuhui Shi and Jun WangPagination
81-85ISBN
978-1-4244-6336-7Department/School
School of EngineeringPublisher
IEEEPlace of publication
Suzhou, ChinaEvent title
International Workshop on Advanced Computational IntelligenceEvent Venue
Suzhou, ChinaDate of Event (Start Date)
2010-08-25Date of Event (End Date)
2010-08-27Repository Status
- Restricted