scholarly journals P14.02: The value of bladder wall thickness measurement in the assessment of overactive bladder syndrome

2005 ◽  
Vol 26 (4) ◽  
pp. 460-460 ◽  
Author(s):  
L. Chan ◽  
S. The ◽  
J. Titus ◽  
V. Tse
Keyword(s):  
Overactive Bladder ◽  
Wall Thickness ◽  
Bladder Wall ◽  
Thickness Measurement ◽  
Overactive Bladder Syndrome ◽  
Bladder Wall Thickness ◽  
Wall Thickness Measurement

Ultrasound measurement of bladder wall thickness is associated with the overactive bladder syndrome

2010 ◽  
Vol 29 (7) ◽  
pp. 1295-1298 ◽  
Author(s):  
D.C. Panayi ◽  
P. Tekkis ◽  
R. Fernando ◽  
C. Hendricken ◽  
V. Khullar
Keyword(s):  
Overactive Bladder ◽  
Wall Thickness ◽  
Bladder Wall ◽  
Ultrasound Measurement ◽  
Overactive Bladder Syndrome ◽  
Bladder Wall Thickness

Can Bladder Wall Thickness Measurement Be Used for Detecting Bladder Outlet Obstruction?

Urology ◽  
2015 ◽  
Vol 86 (3) ◽  
pp. 439-444 ◽  
Author(s):  
Özer Güzel ◽  
Yılmaz Aslan ◽  
Melih Balcı ◽  
Altuğ Tuncel ◽  
Tanju Keten ◽  
...  
Keyword(s):  
Wall Thickness ◽  
Bladder Outlet Obstruction ◽  
Bladder Wall ◽  
Outlet Obstruction ◽  
Thickness Measurement ◽  
Bladder Wall Thickness ◽  
Wall Thickness Measurement

scholarly journals Fully Automated Segmentation of Bladder Sac and Measurement of Detrusor Wall Thickness from Transabdominal Ultrasound Images

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4175
Author(s):  
Zeynettin Akkus ◽  
Bae Hyung Kim ◽  
Rohit Nayak ◽  
Adriana Gregory ◽  
Azra Alizad ◽  
...  
Keyword(s):  
Wall Thickness ◽  
Bladder Wall ◽  
Muscle Thickness ◽  
Ground Truth ◽  
Thickness Measurement ◽  
Ultrasound Images ◽  
Detrusor Muscle ◽  
Fast Method ◽  
Continuous Assessment ◽  
Wall Thickness Measurement

Ultrasound measurements of detrusor muscle thickness have been proposed as a diagnostic biomarker in patients with bladder overactivity and voiding dysfunction. In this study, we present an approach based on deep learning (DL) and dynamic programming (DP) to segment the bladder sac and measure the detrusor muscle thickness from transabdominal 2D B-mode ultrasound images. To assess the performance of our method, we compared the results of automated methods to the manually obtained reference bladder segmentations and wall thickness measurements of 80 images obtained from 11 volunteers. It takes less than a second to segment the bladder from a 2D B-mode image for the DL method. The average Dice index for the bladder segmentation is 0.93 ± 0.04 mm, and the average root-mean-square-error and standard deviation for wall thickness measurement are 0.7 ± 0.2 mm, which is comparable to the manual ground truth. The proposed fully automated and fast method could be a useful tool for segmentation and wall thickness measurement of the bladder from transabdominal B-mode images. The computation speed and accuracy of the proposed method will enable adaptive adjustment of the ultrasound focus point, and continuous assessment of the bladder wall during the filling and voiding process of the bladder.

Sign in / Sign up

Export Citation Format

Share Document