Qiu Xuan, Huang Jing, Yang Feng, Xing Dong, Tu Shengxian. Image enhancement based media-adventitia border detection in intravascular ultrasound images[J]. Journal of Image and Graphics, 2012, 17(4): 537-545. DOI: 10.11834/jig.20120412.
Image enhancement based media-adventitia border detection in intravascular ultrasound images
An important challenge in the analysis of intravascular ultrasound images (IVUS) is the media-adventitia border detection. However
as a result of the inevitable artifact
plaque and imaging equipment effect
the target border always appears too fuzzy to be detected. In this paper
a new border detection method based on spatial-frequency domain image enhancement is proposed. The method uses enhancing processes in the spatial and xin the frequency domain during the detecting process. In the enhancing process
the directional filter band
neighborhood and histogram equalization are combined to overcome the defect of contrast reduction caused by directional filter and the defect of details vagueness caused by histogram equalization. Then in the detecting process
a heuristic graph-searching is applied to find the media-adventitia border by taking the enhanced image data matrix as the cost matrix. The experiment results show that the enhancing process not only strengthens the features of the media and adventitia greatly
but also improves the contrast and definition of the image. The graph-searching based on the enhanced results can detect the media-adventitia border accurately.The correct rate reached 92.76%.