Interacting Active Rectangles for Estimation of Intervertebral Disk Orientation

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Abufadel, A.; Slabaugh, G. G.; Unal, G. B.; Zhang, L.; Odry, B.;
(2006)

This paper presents a fast and efficient method to determine intervertebral disk orientation in a magnetic resonance (MR) image of the spine. The algorithm originates from active contour theory and enforces a shape constraint to avoid leaks through weak or non-existent ... View more
  • References (8)

    [1] M. Brejl and M. Sonka. Object Localization and Border Detection Criteria Design in Edge-Based Image Segmentation: Automated Learning from Examples. IEEE Transactions on Medical Imaging, 19(10):973-985, 2000.

    [2] J. Carballido-Gamio, S. J. Belongie, and S. Majumdar. Normalized Cuts in 3-D for Spinal MRI Segmentation. IEEE Transactions on Medical Imaging, 23(1):36-44, 2004.

    [3] C. Cardan and R. Allen. Measurement of Spine Motion for Diagnosis of Mechanical Problems. In J. Simulation Modeling Med., volume 1, pages 15-19, 2000.

    [4] T. Chan and L. Vese. Active Contours Without Edges. IEEE Transactions on Image Processing, 10(2):266-277, 2001.

    [5] C. Simonis and R. Allen. Determination Of Instantaneous Centres Of Rotation: Parallel Application In Spine Kinematics. In Proc. IEEE Conference on Engineering in Medicine and Biology Society, volume 1, pages 39-40, 1992.

    [6] P. P. Smyth, C. J. Taylor, and J. E. Adams. Automatic measurement of Vertebral Shape Using Active Shape Models. Image and Vision Computing, 15:575-581, 1997.

    [7] A. Yezzi, L. Zo¨llei, and T. Kapur. A Variational Framework for Integrating Segmentation and Registration Through Active Contours. Medical Image Analysis, 7:171-185, 2003.

    [8] Y. Zheng, M. S. Nixon, and R. Allen. Automated Segmentation of Lumbar Vertebrae in Digital Videofluoroscopic Images. IEEE Trans. on Med. Imaging, 23(1):45-52, 2004.

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