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Automatic Left Ventricle Segmentation using Split Energy Function including Orientation Term from CTA

원문정보

초록

영어

In this paper, we propose an automatic left ventricle segmentation method in computed tomography angiography (CTA) using separating energy function. First, we smooth the images by applying anisotropic diffusion filter to remove noise. Secondly, the volume of interest (VOI) is detected by using k-means clustering. Thirdly, we divide the left and right heart with split energy function. Finally, we extract only left ventricle from left and right heart with optimizing cost function including orientation term.

목차

Abstract
 1. Introduction
 2. Method
  A. Pre-processing
  B. Extracting the Whole Heart
  C. Separating the left and right heart from the Whole Heart
  D. Remove right heart and leave left ventricle
 3. Experiments and results
 4. Conclusion
 Acknowledgement
 References

저자정보

  • Ho Chul Kang School of Computer Science and Engineering SungKongHoe University, Korea

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