Breast segmentation in MR images using three-dimensional spiral scanning and dynamic programming

Luan Jiang; Yanyun Lian; Yajia Gu; Qiang Li

doi:10.1117/12.2008129

18 March 2013 Breast segmentation in MR images using three-dimensional spiral scanning and dynamic programming

Luan Jiang, Yanyun Lian, Yajia Gu, Qiang Li

Proceedings Volume 8670, Medical Imaging 2013: Computer-Aided Diagnosis; 86701D (2013) https://doi.org/10.1117/12.2008129
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Magnetic resonance (MR) imaging has been widely used for risk assessment and diagnosis of breast cancer in clinic. To develop a computer-aided diagnosis (CAD) system, breast segmentation is the first important and challenging task. The accuracy of subsequent quantitative measurement of breast density and abnormalities depends on accurate definition of the breast area in the images. The purpose of this study is to develop and evaluate a fully automated method for accurate segmentation of breast in three-dimensional (3-D) MR images. A fast method was developed to identify bounding box, i.e., the volume of interest (VOI), for breasts. A 3-D spiral scanning method was used to transform the VOI of each breast into a single two-dimensional (2-D) generalized polar-coordinate image. Dynamic programming technique was applied to the transformed 2-D image for delineating the “optimal” contour of the breast. The contour of the breast in the transformed 2-D image was utilized to reconstruct the segmentation results in the 3-D MR images using interpolation and lookup table. The preliminary results on 17 cases show that the proposed method can obtain accurate segmentation of the breast based on subjective observation. By comparing with the manually delineated region of 16 breasts in 8 cases, an overlap index of 87.6% ± 3.8% (mean ± SD), and a volume agreement of 93.4% ± 4.5% (mean ± SD) were achieved, respectively. It took approximately 3 minutes for our method to segment the breast in an MR scan of 256 slices.

Citation Download Citation

Luan Jiang, Yanyun Lian, Yajia Gu, and Qiang Li "Breast segmentation in MR images using three-dimensional spiral scanning and dynamic programming", Proc. SPIE 8670, Medical Imaging 2013: Computer-Aided Diagnosis, 86701D (18 March 2013); https://doi.org/10.1117/12.2008129

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