Analysis of Tubular Structures in Medical Imaging

  • Kim, Jin-Woo (Department of Multimedia and Communication Engineering, Kyungsung University)
  • Published : 2009.12.31

Abstract

A method fully utilizing multiscale line filter responses is presented to estimate the point spread function(PSF) of a CT scanner and diameters of small tubular structures based on the PSF. The estimation problem is formulated as a least square fitting of a sequence of multiscale responses obtained at each medical axis point to the precomputed multiscale response curve for the ideal line model. The method was validated through phantom experiments and demonstrated through phantom experiments and demonstrated to accurately measure small-diameter structures which are significantly overestimated by conventional methods based on the full width half maximum(FWHM) and zero-crossing edge detection.

Keywords

References

  1. A. F. Frangi, W. J. Niessen, et al., "Model-based quantitation of 3D magnetic resonance angiographic," IEEE Trans. Med. Imaging, vol. 18, pp. 946–956, Oct. 1999 https://doi.org/10.1109/42.811279
  2. O. Wink, W. J. Niessen, M. A. Viergever, "Fast delineation and visualization of vessels in 3D angiographic images," IEEE Trans. Med. Imaging, vol. 19, pp. 337–346, Apr. 2000 https://doi.org/10.1109/42.848184
  3. R. M. Hoogeveen, C. J. Bakker, M. A. Viergever, "Limits to the accuracy of vessel diameter measurement in MR angiography," JMRI, vol. 8, pp. 1228–1236, 1998 https://doi.org/10.1002/jmri.1880080608
  4. S. Prevrhal, K. Engelke, W. A. Kalender, "Accuracy limits for the determination of cortical width and density: the influence of object size and CT imaging parameters," Phys. Med. Biol., vol. 44, pp. 751–764, Mar. 1999 https://doi.org/10.1088/0031-9155/44/3/017
  5. G. Dougherty, D. Newman, "Measurement of thickness and density of thin structures by computed tomography: simulation study," Med. Phys., vol. 26, pp. 1341–1348, 1999 https://doi.org/10.1118/1.598629
  6. J. M. Reinhardt, N. D. Souza, E. A. Hoffman, "Accurate measurement of intrathoracic airways," IEEE Trans. Med. Imaging, vol. 16, pp. 820–827, 1997 https://doi.org/10.1109/42.650878
  7. K. Krissian, G. Malandain, N. Ayache, "Modelbased detection of tubular structures in 3D images," Computer Vision and Image Und., vol. 80, pp. 130–171, 2000 https://doi.org/10.1006/cviu.2000.0866
  8. S. R. Aylward, E. Bullitt, "Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction," IEEE Trans. Med. Imaging, vol. 21, pp. 61–75, 2002 https://doi.org/10.1109/42.993126