A novel multiscale segmentation method for HRCT images

Soon-Chul Park; Tae-Sun Choi

doi:10.1117/12.798245

15 September 2008 A novel multiscale segmentation method for HRCT images

Soon-Chul Park, Tae-Sun Choi

Proceedings Volume 7073, Applications of Digital Image Processing XXXI; 70731W (2008) https://doi.org/10.1117/12.798245
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

Abstract

In medical area, many image segmentation methods have been proposed for the segmentation of the medical image. However, there are few multiscale segmentation methods that can segment the medical image so that various components within the image could be separated at multiple resolutions or scales. In this paper, we present a new algorithm for multiscale segmentation of high-resolution computed tomography (HRCT) images. With this new segmentation technique, we demonstrate that it is possible to segment the HRCT images into its various components at multiple scales hence separating the information available in HRCT image. We show that the HRCT image can be segmented such that we get separate images for bones, tissues, lungs and anatomical structures within lungs. The processing is done in frequency domain using the Discrete Cosine Transform (DCT).

Citation Download Citation

Soon-Chul Park and Tae-Sun Choi "A novel multiscale segmentation method for HRCT images", Proc. SPIE 7073, Applications of Digital Image Processing XXXI, 70731W (15 September 2008); https://doi.org/10.1117/12.798245

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