Analysis of Intravesical Prostatic Protrusion Ultrasound Image
Part Of
2024 IEEE 4th International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2024
Journal Volume
9
Start Page
19
End Page
23
ISBN (of the container)
979-835036072-1
Date Issued
2024-04-19
Author(s)
Abstract
Traditional ultrasound images are interpreted manually. However, we proposed a formulaic approach for processing ultrasound images and interpreting ultrasound images through computer vision image analysis. We determined the depression index to assess the condition of the prostate protruding into the bladder. The identification methods included noise elimination, edge detection, dynamic threshold, morphology, and shortest distance evaluation. Additionally, we employed the principal component analysis (PCA) and vertical distance. By eliminating noise and determining relative positions, regularization, threshold comparison, segmentation and merging, and elliptical approximation of bladder contours were inferred to diagnose the intravesical prostatic protrusion (IPP) using bladder ultrasound images. By utilizing elliptical approximation, we reconstructed the original appearance of the bladder from the ultrasound images.
Event(s)
4th IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2024
SDGs
Publisher
IEEE
Type
conference paper