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

  • Kang, Ho Chul (School of Computer Science and Engineering SungKongHoe University)
  • Received : 2018.04.05
  • Accepted : 2018.04.20
  • Published : 2018.06.30


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.


image segmentation;left ventricle segmentation;cardiac CTA;image processing;split energy function, cost function optimization, orientation term


Supported by : National Research Foundation of Korea (NRF)


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