CAJ | 학술논문

准确高效的乳腺超声病灶提取技术具有重要应用价值，但超声图像灰度不均匀、伪影重、噪声强、乳腺病灶区域与周围组织相似度较高等特有属性给自动分割带来很大挑战。 RSF模型是一种较为成功的图像分割方法，但对初始轮廓和噪声较敏感，直接用于病灶提取有待改进。针对图像局部分割需求，通过预提取初始分割区域作为水平集的初始条件，有助于提高分割精度；以局部能量为主导，较好地处理灰度不匀的超声特质，增加全局能量项以使零水平集能够更好地定位在弱边界；引入灰度变化率作用以提高轮廓在灰度匀质部分的演化速度。分割实验结果表明，该方法能较为准确地定位乳腺超声病灶，有一定的临床参考价值。
준학고효적유선초성병조제취기술구유중요응용개치，단초성도상회도불균균、위영중、조성강、유선병조구역여주위조직상사도교고등특유속성급자동분할대래흔대도전。 RSF모형시일충교위성공적도상분할방법，단대초시륜곽화조성교민감，직접용우병조제취유대개진。침대도상국부분할수구，통과예제취초시분할구역작위수평집적초시조건，유조우제고분할정도；이국부능량위주도，교호지처리회도불균적초성특질，증가전국능량항이사령수평집능구경호지정위재약변계；인입회도변화솔작용이제고륜곽재회도균질부분적연화속도。분할실험결과표명，해방법능교위준학지정위유선초성병조，유일정적림상삼고개치。
Accurate and efficient ultrasound galactophore lesion segmentation technology has important applied value, but it faces great challenges from intrinsic properties of the ultrasound images including inhomogeneous intensity, severe artifacts, strong noises, and higher similarity between the galactophore lesion area and the normal tissues around it.RSF model is a comparatively successful image segmentation method, but it is sensitive to initial contour and noise, and needs to be revised if applying to lesion extraction directly.Aiming at the demand of partial image segmentation, taking the pre-extracted initial segmentation region for the initial condition of level set will be helpful to improving the segmentation accuracy;dominated with local energy, we deal with well the ultrasound speciality of inhomogeneous intensity, and increase global energy item to locate the zero level set on weak boundary better; we also introduce the function of gray change rate to accelerate the evolution process of contour in homogeneous intensity domain.Experimental results of segmentation show that the proposed method can more accurately locate the ultrasound galactophore lesion, therefore has certain reference value for the clinic.