Temporal and Spatial Fuzzy Granularity of Laser and Ultrasound Frames

ANA LUCÍA DAI PRA, LUCÍA PASSONI; HÉCTOR RABAL; GUILLERMO BÉRTORA; PAUL FINGER

Paraná

Congreso; VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná; 2014

CLAIB

The use of a method based on fuzzy granular computing to process ultrasound image stack and also ultra-sound single images is proposed. Fuzzy granularity has been employed with success in the determination of speckle laser activity, this determination is usually temporal and requires a stack of consecutive time frames of the sample. In this proposal a spatial method is also presented, based on the computing of intensity grains inside a sliding window in the image. To test the performance of the method, we apply it to corn kernels images obtained with dynamic laser speckle and a set of ultra-sound (US) images of an eye with melanoma. Temporal and spatial approaches would allow identifying regions of interest in the corn grain and benign and malignant tumors within the eye ultrasound images.