A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Medical Image Analysis: Progress over Two Decades and the Challenges Ahead
IEEE Transactions on Pattern Analysis and Machine Intelligence
Use of Shape Models to Search Digitized Spine X-rays
CBMS '00 Proceedings of the 13th IEEE Symposium on Computer-Based Medical Systems (CBMS'00)
Customized Hough Transform for Robust Segmentation of Cervical Vertebrae from X-Ray Images
SSIAI '02 Proceedings of the Fifth IEEE Southwest Symposium on Image Analysis and Interpretation
A framework of vertebra segmentation using the active shape model-based approach
Journal of Biomedical Imaging
Hi-index | 0.00 |
In this article, we are interested in the X-rays images of the spinal column in various positions. The purpose of this work is to extract some parameters determining the vertebral mobility and its variation during flexion-extension movements. A modified Discrete Dynamic Contour Model (DDCM) using the Canny edge detector was the starting point for our segmentation algorithm. To address the lack of convergence due to open contour, we have elaborated a heuristic method appropriate to the area of our application. The results in real images cooresponding to the cervical spinal column and their comparison with manual measures are presented to demonstrate and to validate the proposed technique.