A fast detection and diagnosis algorithm for abdominal incisional hernia lesions with automated 3D ultrasound images

A fast detection and diagnosis algorithm is proposed to improve the effectiveness and efficiency of abdominal incisional hernia lesions diagnosis. Firstly, hernia lesions were obtained by detecting black targets in ultrasound images of the coronal plane. Secondly, the morphological method was used to remove false black targets. Thirdly, the volume of interest (VOI) was cropped from the original data set to define the lesions area. Finally, the volume of lesions was measured. Results demonstrated that the proposed algorithm can effectively detect abdominal incisional hernia lesions with automated 3D ultrasound images. It can also provide more diagnostic information by measuring the volume of lesions.