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Multistage Approach for Simple Kidney Cysts Segmentation in CT Images

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New Approaches in Intelligent Image Analysis

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 108))

Abstract

In the chapter is presented a multistage approach for segmentation of medical objects in Computed Tomography (CT) images. Noise reduction with consecutive applied median filter and wavelet shrinkage packet decomposition, and contrast enhancement based on Contrast limited adaptive histogram equalization (CLAHE) are applied in preprocessing stage. As a next step is used a combination of 2 basic methods for image segmentation such as split and merge algorithm, following by color based K-mean clustering. For refining the boundaries of the detected objects additional texture analysis is introduced based on limited Haralick’s feature set and morphological filters. Due to the diminished number of components for the feature vectors the speed of the segmentation stage is higher in comparison with the full feature set. Some experimental results are presented, obtained by computer simulation in the MATLAB environment. The experimental results give detailed information about detected simple renal cysts and their boundaries in axial plane of CT images which are presented in native, arterial and venous phases. The proposed approach can be used in real time for precise diagnosis or in monitoring the disease progression.

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Acknowledgement

The authors gratefully thank Professor Dr. V. Hadjidekov and Dr. Genov at the Department of Image Diagnostic on the Medical Academy in Sofia for the images and advices by the investigations.

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Authors and Affiliations

  1. Department of Radio Communications and Video Technologies, Technical University of Sofia, 8 Kliment Ohridski Blvd, 1756, Sofia, Bulgaria

    Veska Georgieva & Ivo Draganov

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  1. Veska Georgieva
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  2. Ivo Draganov
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Correspondence to Veska Georgieva .

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Editors and Affiliations

  1. Technical University of Sofia, Sofia, Bulgaria

    Roumen Kountchev

  2. University of Hyogo, Chuo-ku, Japan

    Kazumi Nakamatsu

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Georgieva, V., Draganov, I. (2016). Multistage Approach for Simple Kidney Cysts Segmentation in CT Images. In: Kountchev, R., Nakamatsu, K. (eds) New Approaches in Intelligent Image Analysis. Intelligent Systems Reference Library, vol 108. Springer, Cham. https://doi.org/10.1007/978-3-319-32192-9_7

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  • DOI: https://doi.org/10.1007/978-3-319-32192-9_7

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