3-Dimensional Vector Analysis of 2-Dimensional Ultrasound Diagnostic Images

Abstract

Research work is dedicated to improve diagnostics of appendicitis. Presented algorithm was used for analysis of ultrasound images. The idea of algorithm is based on viewing the picture as combinations of points and vectors. Author of idea and algorithm is Yuriy Yu. Kolesnichenko. Algorithm has been written on Java language. The 3 series of using the algorithm were implemented and presented. Further work is required with an increase in number of analyzed cases for assessment of veracity of obtained results. This idea can be implemented as some portable device for emergency department and surgery department, which would determine the vermiform appendix in discrete form (yes or no) without ultrasound B-mode picture visualization for physician.

Keywords

• artificial neural networks
• convolutional neural network
• Java language
• computer aided detection
• vermiform appendix
• Sobel-Feldman operator
• 3-Dimensional Vector Analysis
• ultrasound scanner
• ultrasound images
• artificial optical vision