Chest wall segmentation in automated 3D breast ultrasound using rib shadow enhancement and multi-plane cumulative probability enhanced map

Hyeonjin Kim; Hannah Kim; Helen Hong

doi:10.1117/12.2082376

20 March 2015 Chest wall segmentation in automated 3D breast ultrasound using rib shadow enhancement and multi-plane cumulative probability enhanced map

Hyeonjin Kim, Hannah Kim, Helen Hong

Author Affiliations +

Proceedings Volume 9414, Medical Imaging 2015: Computer-Aided Diagnosis; 941423 (2015) https://doi.org/10.1117/12.2082376
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

We propose an automatic segmentation method of chest wall in 3D ABUS images using rib shadow enhancement and multi-planar cumulative probability enhanced map. For the identification of individual dark rib shadows, each rib shadow is enhanced using intensity transfer function and 3D sheet-like enhancement filtering. Then, wrongly enhanced intercostal regions and small fatty tissues are removed using coronal and sagittal cumulative probability enhanced maps. The large fatty tissues with globular and sheet-like shapes at the top of rib shadow are removed using shape and orientation analysis based on moment matrix. Detected chest walls are connected with cubic B-spline interpolation. Experimental results show that the Dice similarity coefficient of proposed method as comparison with two manually outlining results provides over 90% in average.

Citation Download Citation

Hyeonjin Kim, Hannah Kim, and Helen Hong "Chest wall segmentation in automated 3D breast ultrasound using rib shadow enhancement and multi-plane cumulative probability enhanced map", Proc. SPIE 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 941423 (20 March 2015); https://doi.org/10.1117/12.2082376

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