Automated Segmentation of Breast in 3-D MR Images Using a Robust Atlas
Automated Segmentation of Breast in 3-D MR Images Using a Robust Atlas
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DOI：
10.1109/tmi.2014.2347703
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发表时间：
2015-01-01
影响因子：
10.6
通讯作者：
Martel, Anne L.
中科院分区：
文献类型：
--
作者：
Khalvati, Farzad;Gallego-Ortiz, Cristina;Martel, Anne L.
提出了一种鲁棒的基于图集的三维磁共振图像乳房边界分割算法。该算法将ABS中众所周知的概率图谱和图谱选择方法结合到一个框架中，实现了两种配置。该算法利用相位同余映射生成对强度变化具有鲁棒性的地图集。这允许从一个磁共振成像序列获得的图像衍生的图谱用于分割用不同的磁共振成像序列获得的图像，并且消除了基于强度的配准的需要。使用Dixon序列获取的图像创建图谱，用于分割Dixon图像（序列内）和t1加权图像（序列间）。在这两种情况下，获得了高度准确的结果，Dice相似系数的中位数分别为94%，4%和87 6.5%。
This paper presents a robust atlas-based segmentation (ABS) algorithm for segmentation of the breast boundary in 3-D MR images. The proposed algorithm combines the well-known methodologies of ABS namely probabilistic atlas and atlas selection approaches into a single framework where two configurations are realized. The algorithm uses phase congruency maps to create an atlas which is robust to intensity variations. This allows an atlas derived from images acquired with one MR imaging sequence to be used to segment images acquired with a different MR imaging sequence and eliminates the need for intensity-based registration. Images acquired using a Dixon sequence were used to create an atlas which was used to segment both Dixon images (intra-sequence) and T1-weighted images (inter-sequence). In both cases, highly accurate results were achieved with the median Dice similarity coefficient values of 94% 4% and 87 6.5%, respectively.