Journal of Broadcast Engineering (방송공학회논문지)

The Korean Institute of Broadcast and Media Engineers (한국방송∙미디어공학회)
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Lung and Airway Segmentation using Morphology Information and Spline Interpolation in Lung CT Image

흉부 CT 영상의 형태학적 정보 및 Spline 보간법을 이용한 폐 및 기관지 분할 알고리즘

  • Received : 2013.05.13
  • Accepted : 2013.08.09
  • Published : 2013.09.30
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Abstract

In this paper, we proposed an algorithm that extracts the airway and lung without loss of information in spite of the pulmonary vessel and nodules of the chest wall in the chest CT images. We use a mask image in order to improve the performance and to save processing time of airway and lung segmentation. In the second step, by converting left and right lungs to binary image using the morphological information, we have removed the solitary pulmonary nodule to identify the value of the threshold lung and the chest wall. The last step is to connect the outer shell of the lung with cubic Spline interpolation by adding the perfect pixel and computing the distance of the removed part. Experimental results using Matlab verified that the proposed method could overcome the drawbacks of the conventional methods.

본 논문은 흉부 CT 영상에서 폐 흉벽에 결절 및 폐혈관이 붙어 있는 경우에도 폐 정보의 손실 없이 폐와 기관지를 분리할 수 있는 알고리즘을 제안 하였다. 마스크 영상의 활용은 폐 및 기관지 분할에서 시간 단축 및 성능을 향상 시킬 수 있었다. 또한 폐 흉벽과 밝기값이 같은 결절을 찾아 제거 하는 방법은 좌 우측폐의 외곽 영상을 2진 영상으로 변환하고, 형태학적 정보를 활용함으로써 가능 하였다. 마지막으로 제거된 부분의 외곽선 연결은 거리가 고려된 최적 화소 추가와 3차 Spline 보간법을 적용하였다. Matlab 시뮬레이션 결과 제안된 알고리즘은 기존 문제점이 보완됨을 확인 할 수 있었다.

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References

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