Zhao Liu
Department of Electronic Engineering, Yunnan University, Kunming 650091, ChinaWu Jun
Department of Electronic Engineering, Yunnan University, Kunming 650091, ChinaChen Yue
Department of Ultrasound, Huadong Hospital, Fudan University, Shanghai 200040, ChinaChen Lin
Department of Ultrasound, Huadong Hospital, Fudan University, Shanghai 200040, ChinaLuo Huayou
Department of Gastrointestinal and Hernia Surgery, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, ChinaSun Liang
Department of Gastrointestinal and Hernia Surgery, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, ChinaShu Ruo
Department of Gastrointestinal and Hernia Surgery, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, China1. Department of Electronic Engineering, Yunnan University, Kunming 650091, China; 2. Department of Ultrasound, Huadong Hospital, Fudan University, Shanghai 200040, China; 3. Department of Gastrointestinal and Hernia Surgery, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
TN911.73
In automated 3D ultrasound imaging, effective ultrasonic signal can only be acquired if a good contact between the probe and the skin exists. To be able to achieve computeraided exclusion for areas where were uncoupled, a 2D image mask was generated in the coronal plane. Firstly, the average coronal images were obtained by averaging a series of 2D coronal slices which were continuous or intermittent. Secondly, the binary images were obtained by applying bimodal thresholding method on the coronal projection. The masks were obtained by applying morphology image processing method on the binary image, and choosing the best mask as the finally mask image. Finally, pending coronal plane image′s uncoupled areas were excluded by using the mask, and coupled areas were shown by applying pseudocolor processing. It is shown in the results that the proposed method achieves automated exclusion for areas without probe coupling of the automated 3D breast ultrasound (ABUS) data which can effectively avoid invalid operating of uncoupled areas in the subsequent image processing.
