Using Ultrasound Backscattering Signals and Nakagami Statistical Distribution to Assess Regional Cataract Hardness

摘要

This study aims to analyze the protein aggregates spatial distribution for different cataract degrees, and correlate this information with the lens acoustical parameters and by this way, assess the cataract regional hardness. Different cataract degrees were induced in porcine lenses. A 25 MHz ultrasonic transducer was used to obtain the acoustical parameters (velocity, attenuation, and backscattering signals). B-scan and Nakagami images were constructed. Also, lenses with different cataract degrees were sliced in two regions (nucleus and cortex), for fibers and collagen detection. A significant increase with cataract formation was found for the velocity, attenuation, and brightness intensity of the B-scan images and Nakagami parameter (). The acoustical parameters showed a good to moderate correlation with the parameter for the different stages of cataract formation. A strong correlation was found between the protein aggregates in the cortex and the parameter. Lenses without cataract are characterized using a classification and regression tree, by a mean brightness intensity ≤0.351, a variance of the B-scan brightness intensity ≤0.070, a velocity ≤1625 m/s, and an attenuation ≤0.415 dB/mm·MHz (sensitivity: 100% and specificity: 72.6%). To characterize different cataract degrees, the parameter should be considered. Initial stages of cataract are characterized by a mean brightness intensity >0.351 and a variance of the parameter >0.110. Advanced stages of cataract are characterized by a mean brightness intensity >0.351, a variance of the parameter ≤0.110, and a mean parameter >0.374. For initial and advanced stages of cataract, a sensitivity of 78.4% - nd a specificity of 86.5% are obtained.