Speckle Reduction with Edge Preservation in BScan Breast Ultrasound Images

Abstract

Speckle is a multiplicative noise that degrades the quality of ultrasound images and its presence makes the visual inspection difficult. In addition, it limits the professional application of image processing techniques such as automatic lesion segmentation. So speckle reduction is an essential step before further processing of ultrasonic images. Numerous techniques have been developed to preserve the edges while reducing speckle noise, but these filters avoid smoothing near the edges to preserve fine details. The objective of this work is to suggest a new technique that enhances B-Scan breast ultrasound images by increasing the speckle reduction capability of an edge sensitive filter. In the proposed technique a local statics based filter is applied in the non homogeneous regions, on the output of an edge preserving filter and an edge map is used to retain the original edges. Experiments are conducted using synthetic test image and real time ultrasound images. The effectiveness of the proposed technique is evaluated qualitatively by experts and quantitatively in terms of various quality metrics. Results indicate that proposed method can reduce more noise and simultaneously preserve important diagnostic edge information in breast ultrasound images.

Speckle Noise Suppression in Ultrasound Images Using Modular Neural Networks

“…The presentation measurements are selected dependent on their processable contortion measures. Peak signal-tonoise ratio (PSNR) and Mean square error (MSE) are the two most well-known proportions of image quality in image processing systems [19,20]. In addition to these parameters, EPI (Edge Preservation Index) and SSIM (Structural Similarity Index Metric) have also been evaluated to find the efficiency of the hybrid despeckling method.…”