A Fully Automatic Algorithm for Segmentation of the Breasts in DCE-MR Images

被引：40

作者：

Giannini, Valentina ^{[1
]}

Vignati, Anna ^{[2
]}

Morra, Lia ^{[3
]}

Persano, Diego ^{[2
,3
]}

Brizzi, Davide

Carbonaro, Luca ^{[4
]}

Bert, Alberto ^{[3
]}

Sardanelli, Francesco ^{[4
]}

Regge, Daniele ^{[2
]}

机构：

[1] Politecn Torino, Dept Elect, Turin, Italy

[2] Inst Cancer Res & Treatment, Radiol Unit, Turin, Italy

[3] Med Imag Lab, Turin, Italy

[4] Univ Milan, IRCCS Unit Radiol, Dipartimento Sci Med Chirurgiche, Policlin San Donate, I-20122 Milan, Italy

来源：

2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2010年

关键词：

D O I：

10.1109/IEMBS.2010.5627191

中图分类号：

R318 [生物医学工程];

学科分类号：

100103 [病原生物学];

摘要：

Automatic segmentation of the breast and axillary region is an important preprocessing step for automatic lesion detection in breast MR and dynamic contrast-enhanced-MR studies. In this paper, we present a fully automatic procedure based on the detection of the upper border of the pectoral muscle. Compared with previous methods based on thresholding, this method is more robust to noise and field inhomogeneities. The method was quantitatively evaluated on 31 cases acquired from two centers by comparing the results with a manual segmentation. Results indicate good overall agreement within the reference segmentation (overlap=0.79 +/- 0.09, recall=0.95 +/- 0:02, precision=0.82 +/- 0.1).

引用

页码：3146 / 3149

页数：4

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