Akademik Veri Yönetim Sistemi
ICAIAME 21, Antalya, Türkiye, 1 - 03 Ekim 2021, ss.70
The bladder is the organ that stores urine after the blood is filtered in the kidneys, in
the anatomy of mammals. The bladder is usually visualized by ultrasonography. The bladder
volume should be determined for diagnostic and therapeutic purposes with the use of these
ultrasonographic images. For this purpose, two different algorithms are proposed in this study
for the detection of bladder volume using ultrasound images. Hence, two algorithms, semi-automatic and fully automatic, were developed with the integration method as an alternative
to the traditional ellipsoid method. In the semi-automatic algorithm, the bladder volume was
calculated by the integration method after the user determined the bladder region visually. In
addition, in order to eliminate user subjectivity in the study, the bladder area was automatically
determined regardless of user. Therefore, the bladder region was determined fully automatically
from ultrasound images using 2D Discrete Wavelet Transform, Canny Edge Detection Method, and morphological operations. Bladder volume was calculated with the same integration
method as the semi-automatic algorithm using the determined region. The Prolate Ellipsoid
Method was accepted as a reference. Then, according to these results, semi-automatic and fully
automatic algorithm Mean Absolute Percentage Error results were obtained and compared. It
has been observed that different results are achieved for different users in the semi-automatic
algorithm. This result showed the fully automatic algorithm is more objective and effective.
Consequently, a fully automatic algorithm that is easy to implement, gives fast results, and
has high accuracy has been composed.