CAJ | 학술논문

提出了一种基于Chan-Vese模型的脑肿瘤图像分割与三维重构方法.该方法首先通过对脑肿瘤图片的迭代腐蚀操作提取脑肿瘤轮廓,然后利用Chan-Vese模型时脑肿瘤进行分割,最后对图像进行迭代膨胀操作复原图像.另外对所有分割后的脑肿瘤图片进行了三维重构与定位.实验结果表明,基于Chan-Vese模型的图像分割方法很好地解决了脑肿瘤分割过程中容易出现的不完全分割问题,同时对脑肿瘤的三维重构与定位也具有较大的临床实用价值.
제출료일충기우Chan-Vese모형적뇌종류도상분할여삼유중구방법.해방법수선통과대뇌종류도편적질대부식조작제취뇌종류륜곽,연후이용Chan-Vese모형시뇌종류진행분할,최후대도상진행질대팽창조작복원도상.령외대소유분할후적뇌종류도편진행료삼유중구여정위.실험결과표명,기우Chan-Vese모형적도상분할방법흔호지해결료뇌종류분할과정중용역출현적불완전분할문제,동시대뇌종류적삼유중구여정위야구유교대적림상실용개치.
A brain tumor image segmentation and 3D reconstruction method is proposed based on Chan-Vese model.The brain tumor image is first eroded iteratively by using morphological erosion to extract the brain tumor contour.Then the brain tumor included in eroded image is segmented by the Chan-Vese model.The image is finally dilated iteratively by using morphological dilation to restore the image.Moreover,all segmented brain tumor images are reconstructed and located to three dimensions.Experimental results show that the algorithm based on Chan-Vese model can solve the problem of incomplete segmentation easily occurred in brain tumor segmentation process.At the same time,the 3D reconstruction and location of the brain tumor offer a great reference value in clinical work.