Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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3D Segmentation of a Diagnostic Object in Ultrasound Images Using LoG Operator

초음파 영상에서 LoG 연산자를 이용한 진단 객체의 3차원 분할

  • 정말남 (경북대학교 전자공학과) ;
  • 곽종인 (경북대학교 전자공학과) ;
  • 김상현 (영산대학교 멀티미디어공학부) ;
  • 김남철 (경북대학교 전자공학과)
  • Published : 2003.08.01
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Abstract

This paper proposes a three-dimensional (3D) segmentation algorithm for extracting a diagnostic object from ultrasound images by using a LoG operator In the proposed algorithm, 2D cutting planes are first obtained by the equiangular revolution of a cross sectional Plane on a reference axis for a 3D volume data. In each 2D ultrasound image. a region of interest (ROI) box that is included tightly in a diagnostic object of interest is set. Inside the ROI box, a LoG operator, where the value of $\sigma$ is adaptively selected by the distance between reference points and the variance of the 2D image, extracts edges in the 2D image. In Post processing. regions of the edge image are found out by region filling, small regions in the region filled image are removed. and the contour image of the object is obtained by morphological opening finally. a 3D volume of the diagnostic object is rendered from the set of contour images obtained by post-processing. Experimental results for a tumor and gall bladder volume data show that the proposed method yields on average two times reduction in error rate over Krivanek's method when the results obtained manually are used as a reference data.

Keywords

References

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