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DWT-Based Segmentation Method for Coronary Arteries

  • Systems-Level Quality Improvement
  • Published:
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Abstract

This work presents a new method for segmenting coronary arteries automatically in computed tomography angiography (CTA) data sets. The method automatically isolates heart and coronary arteries from surrounding structures and search for the probable location of coronary arteries by 3D region growing. Based on the dilation of the probable location, discrete wavelet transformation (DWT) and λ – mean operation complete accurate detection of coronary arties. Finally, the proposed method is tested on clinical CTA data-sets. The results on clinical datasets show that the proposed method is able to extract each branch of arteries when comparing to commercial software GE Healthcare and delineated ground truth.

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Acknowledgments

This work was in part supported by the National Science Council, Taiwan (R.O.C.), under the NSC grant: NSC 98-2221-E-002-098-MY3.

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Authors and Affiliations

  1. Institute of Biomedical Engineering, National Taiwan University, Taipei, 10617, Taiwan, Republic of China

    Shuo-Tsung Chen, Pei-Kai Hung, Chao-Yu Huang & Chung-Ming Chen

  2. Department of Applied Mathematics, Tunghai University, Taichung, 40704, Taiwan, Republic of China

    Shuo-Tsung Chen

  3. Department of Neurosurgery, Taipei City Hospital, Zhong Xiao Branch, Taipei, Taiwan, Republic of China

    Muh-Shi Lin

  4. Division of Neurosurgery, Department of Surgery, New Taipei City Hospital, New Taipei City, Taiwan, Republic of China

    Muh-Shi Lin

  5. Department of Surgery, Faculty of Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan, Republic of China

    Muh-Shi Lin

  6. Cardiovascular Center and Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan, Republic of China

    Tzung-Dau Wang

  7. Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan, Republic of China

    Wen-Jeng Lee

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  1. Shuo-Tsung Chen
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  2. Pei-Kai Hung
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  3. Muh-Shi Lin
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  4. Chao-Yu Huang
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  5. Chung-Ming Chen
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  6. Tzung-Dau Wang
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  7. Wen-Jeng Lee
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Corresponding author

Correspondence to Chung-Ming Chen.

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This article is part of the Topical Collection on Systems-Level Quality Improvement

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Chen, ST., Hung, PK., Lin, MS. et al. DWT-Based Segmentation Method for Coronary Arteries. J Med Syst 38, 55 (2014). https://doi.org/10.1007/s10916-014-0055-8

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  • DOI: https://doi.org/10.1007/s10916-014-0055-8

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