Image denoising has become a very essential exercise all through the diagnosis especially in case of medical image processing involving ultrasound. Speckle pattern is one of the most complicated multiplicative noise which hardly degrades visual quality of clinical ultrasound images. Real time ultrasound images posses inherited speckle pattern which reduces its resolution and contrast there by d...

Breast cancer is one of the leading causes death in México and among world. This mainly due to late diagnosis price treatment. Ultrasound (US) most used tools for image-based assessment this disease, since it can help discriminate solid vs. cystic masses, as well between benign or malignant masses. However, ultrasound imaging depends largely on radiologists experience. A detection not depending...

Segmentation of ultrasound images is difficult due to discontinuity and uncertainty of segmentation boundaries caused by speckle noise. Most of the ultrasound image segmentation algorithms require high computational time and do not give good results. In this paper, a novel algorithm for the ultrasound image segmentation is proposed. Our approach is based on semi-automatic classical region growi...

This paper proposes a method for speckle reduction in medical ultrasound imaging while preserving the edges with the added advantages of adaptive noise filtering and speed. A nonlinear image diffusion method that incorporates local image parameter, namely, scatterer density in addition to gradient, to weight the nonlinear diffusion process, is proposed. The method was tested for the isotropic c...

In tracked ultrasound systems, temporal misalignment between image and tracker data results in incorrect image pose. We present a fully automatic temporal calibration. We image a flat plate in water with a tracked probe undergoing periodic uniaxial freehand translation. Using robust line detection scheme, we compute temporal misalignment as difference between probe and corresponding image posit...