3D segmentation of breast tumor in ultrasound images

Jong In Kwak; Mal Nam Jung; Sang Hyun Kim; Nam Chul Kim

doi:10.1117/12.479903

23 May 2003 3D segmentation of breast tumor in ultrasound images

Jong In Kwak, Mal Nam Jung, Sang Hyun Kim, Nam Chul Kim

Proceedings Volume 5035, Medical Imaging 2003: Ultrasonic Imaging and Signal Processing; (2003) https://doi.org/10.1117/12.479903
Event: Medical Imaging 2003, 2003, San Diego, California, United States

Abstract

This paper proposes a three-dimensional (3D) region-based segmentation algorithm for extracting a diagnostic tumor from ultrasound images by using a split-and-merge and seeded region growing with a distortion-based homogeneity cost. 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 cutting plane, an elliptic seed mask that is included tightly in a tumor of interest is set. At the same time, each plane is finely segmented using the split-and-merge with a distortion-based cost. In the result segmented finely, all of the regions that are across or contained in the elliptic seed mask are then merged. The merged region is taken as a seed region for the seeded region growing. In the seeded region growing, the seed region is recursively merged with adjacent regions until a predefined condition is reached. Then, the contour of the final seed region is extracted as a contour of the tumor. Finally, a 3D volume of the tumor is rendered from the set of tumor contours obtained for the entire cutting planes. Experimental results for a 3D artificial volume data show that the proposed method yields maximum three times reduction in error rate over the Krivanek’s method. For a real 3D ultrasonic volume data, the error rates of the proposed method are shown to be lower than 17% when the results obtained manually are used as a reference data. It also is found that the contours of the tumor extracted by the proposed algorithm coincide closely with those estimated by human vision.

Citation Download Citation

Jong In Kwak, Mal Nam Jung, Sang Hyun Kim, and Nam Chul Kim "3D segmentation of breast tumor in ultrasound images", Proc. SPIE 5035, Medical Imaging 2003: Ultrasonic Imaging and Signal Processing, (23 May 2003); https://doi.org/10.1117/12.479903

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