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J. M. Reinhardt, A. J. Wang, T. P. Weldon, and W. E. Higgins. Cue-Based Segmentation of 4D Cardiac Image Sequences. Comp. Vision and Image Understanding, vol. 77, no. 2, pp. 251-262, 2000.

Abstract: Medical imaging scanners now exist that can generate 4D cardiac images. Since the heart moves, cardiac anatomy and physiology can be studied using 4D image sequences. Interactive manual 4D image analysis can be time-consuming and error-prone?-automatic and semi-automatic methods have many advantages over manual segmentation. This paper describes a procedure for performing semi-automatic image segmentation on 4D image sequences. Our procedure is based on a small set of user-defined image-segmentation cues specified at certain time points in the sequence. These cues are then automatically interpolated or extrapolated for the remaining time points. The complete set of cues is interpreted and used to generate a sequence of image processing operations (such as operators for image enhancement, morphological processing, and region segmentation) that can subsequently segment the 4D image. This procedure permits 4D cardiac image segmentation with a only small amount of user interaction. The proposed approach compares favorably to results generated by defining cues on each individual volume and to results generated completely manually. The 4D approach also requires significantly less interaction time than pure manual analysis.

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Keywords: cardiac segmentation shape

Other publications by: J. M. Reinhardt, A. J. Wang, T. P. Weldon, W. E. Higgins

Related journal papers:

J. M. Reinhardt and W. E. Higgins. Paradigm for Shape-Based Image Analysis. Optical Engineering, vol. 37, no. 2, pp. 570-581, 1998. (details)
S. Ukil and J. M. Reinhardt. Smoothing Lung Segmentation Surfaces in 3D X-ray CT Images using Anatomic Guidance. Acad. Radiol., vol. 12, no. 12, pp. 1502-1511, 2005. (details)
J. M. Reinhardt and W. E. Higgins. Comparison between the Morphological Skeleton and Morphological Shape Decomposition. IEEE Trans. Patt. Anal. Machine Intell., vol. 18, no. 9, pp. 951-957, 1996. (details)
J. M. Reinhardt and W. E. Higgins. Efficient Morphological Shape Representation. IEEE Trans. Image Proc., vol. 5, no. 1, pp. 89-101, 1996. (details)
S. Hu, E. A. Hoffman, and J. M. Reinhardt. Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images. IEEE Trans. Medical Imaging, vol. 20, no. 6, pp. 490-498, 2001. (details)

Related conference papers:

W. E. Higgins, A. J. Wang, and J. M. Reinhardt. Semi-automatic 4D analysis of cardiac image sequences. In E. A. Hoffman, ed., Proc. SPIE Conf. Medical Imaging, vol. 2709, pp. 359-372, Newport Beach, CA, 1996. (details)
W. E. Higgins, J. M. Reinhardt, and W. L. Sharp. Semi-automatic construction of 3D medical image-segmentation processes. In R. A. Robb, ed., Proc. SPIE Conf. Visual. in Biomed. Comp., vol. 2359, pp. 59-71, Rochester, MN, 1994. (details)
J. M. Reinhardt and W. E. Higgins. Automatic Generation of Image-Segmentation Processes. In Proc. IEEE Int. Conf. Image Processing, vol. III, pp. 791-795, 1994. (details)
J. M. Reinhardt and W. E. Higgins. Strategy for shape-based image analysis. In Proc. IEEE Int. Conf. Image Processing, vol. I, pp. 502-505, 1994. (details)
B. Li and J. M. Reinhardt. Automatic generation of 3-D shape models and their application to tomographic image segmentation. In M. Sonka and K. M. Hansen, eds., Proc. SPIE Conf. Medical Imaging, vol. 4322, pp. 311-322, San Diego, CA, 2001. (details)

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