Medical Ultrasound Image Quality Enhancement and Regions Segmentation

Image Segmentation Techniques for Medical Ultrasound Images

73 Abstract— Image segmentation is the foremost step in several applications of computer vision. The major goal of the segmentation process is to partition an image into multiple regions or set of pixels that are homogeneous with respect to one or more features or characteristics, such as texture, colour or intensity. The adjacent regions are significantly different with respect to the same cha...

Motion Compensation Improves Medical Ultrasound Image Quality

Internal noise degrades the quality of a medical ultrasound imaging and thus, reduces its usefulness as a diagnostic tool. We study the effect of fusing multiple ultrasound pings on improving the quality of the ultrasound image. This approach is limited by the relative motion between the sensor array and internal organs, a problem which reduces the effect of the fusion. We present a robust moti...

Medical ultrasound image segmentation using genetic active contour

Image segmentation is one of the earliest and most important stages of image processing and plays an important role in both qualitative and quantitative analysis of medical ultrasound images but ultrasound images have low level of contrast and are corrupted with strong speckle noise. Due to these effects, segmentation of ultrasound images is very challenging and traditional image segmentation m...

A Novel Method for Medical Ultrasound Image Segmentation

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...

Automatic Medical Ultrasound Strain Image Segmentation for Breast Tumors