Pixel-Level Tissue Classification for Ultrasound Images

Pixel Intensity distribution of the tissues

Pixel Intensity distribution of the tissues

This paper presents a new method for classifying tissues in ultrasound imagery at the pixel level. The proposed method is basically composed of 1) image normalization, 2) multiscale description, and 3) classification. The main advantage of the proposed method is its capacity to consider pixel-neighboring patterns, which are not encoded by existing methods based on isolated pixel values.

It was experimentally evaluated in tissue and carotid images. A comparison with the state-of-the-art techniques for pixel-level classification shows the quality of the proposed method and its advantages. A prototype implementing the proposed method is currently in use in the University of Campinas Hospital, Brazil.


D. V. Pazinato, B. V. Stein, W. R. de Almeida, R. O. Werneck, P. R. Mendes Júnior, O. A. B. Penatti, R. S. Torres, F. H. Menezes, A. Rocha. “Pixel-Level Tissue Classification for Ultrasound Images,” in IEEE Journal of Biomedical and Health Informatics, vol. 20, no. 1, pp. 256-267, Jan. 2016. doi: 10.1109/JBHI.2014.2386796

Advertisements
This entry was posted in blog, publications, science and tagged , , , , , , , , , , , , , , , , . Bookmark the permalink.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s