An Automated Bladder Volume Measurement for Assisting Diagnosis in Lower Urinary Tract Dysfunction

Hsiao Chi Li; Meng Lin Chang; Chang Geng Liu; Bo Chang Chen; Chien Chang Hsu

doi:10.1109/ISPACS.2018.8923259

An Automated Bladder Volume Measurement for Assisting Diagnosis in Lower Urinary Tract Dysfunction

Hsiao Chi Li
, Meng Lin Chang
, Chang Geng Liu
, Bo Chang Chen
, Chien Chang Hsu

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Volume of the urinary bladder is an important factor for diagnosis of lower urinary tract dysfunction (LUTD). Clinically, the need of urinary catheter insertion procedure is determined by the amount of residual urine inside bladder through bladder sonography. If for each time the urination volume is less than the volume inside bladder, it will increase the residual urine volume gradually. As a result, the patient fails to urinate and urinary retention is occurred. In order to release retention, it is needed to insert urinary catheter into the urinary bladder. The approach currently being used in clinical is to estimate the residual urine from ultrasound image via an equation (Volume = Length × Width × Height × 0.52), in which human efforts are required. Besides, the resulting measurement is still not accurate enough. Therefore, a solution that treat each pixel signature vector in bladder as the target signal to do classification is proposed in this paper.

Original language	English
Title of host publication	ISPACS 2018 - 2018 International Symposium on Intelligent Signal Processing and Communication Systems
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	141-145
Number of pages	5
ISBN (Electronic)	9781538657713
DOIs	https://doi.org/10.1109/ISPACS.2018.8923259
State	Published - Nov 2018
Event	2018 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2018 - Ishigaki Island, Okinawa, Japan Duration: 27 Nov 2018 → 30 Nov 2018

Publication series

Name	ISPACS 2018 - 2018 International Symposium on Intelligent Signal Processing and Communication Systems

Conference

Conference	2018 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2018
Country/Territory	Japan
City	Ishigaki Island, Okinawa
Period	27/11/18 → 30/11/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

algorithm design and analysis
automated bladder volume measurement
bladder sonography image segmentation
lower urinary tract dysfunction (LUTD)
urinary retention

Access to Document

10.1109/ISPACS.2018.8923259

Cite this

Li, H. C., Chang, M. L., Liu, C. G., Chen, B. C., & Hsu, C. C. (2018). An Automated Bladder Volume Measurement for Assisting Diagnosis in Lower Urinary Tract Dysfunction. In ISPACS 2018 - 2018 International Symposium on Intelligent Signal Processing and Communication Systems (pp. 141-145). Article 8923259 (ISPACS 2018 - 2018 International Symposium on Intelligent Signal Processing and Communication Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISPACS.2018.8923259

Li, Hsiao Chi ; Chang, Meng Lin ; Liu, Chang Geng et al. / An Automated Bladder Volume Measurement for Assisting Diagnosis in Lower Urinary Tract Dysfunction. ISPACS 2018 - 2018 International Symposium on Intelligent Signal Processing and Communication Systems. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 141-145 (ISPACS 2018 - 2018 International Symposium on Intelligent Signal Processing and Communication Systems).

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title = "An Automated Bladder Volume Measurement for Assisting Diagnosis in Lower Urinary Tract Dysfunction",

abstract = "Volume of the urinary bladder is an important factor for diagnosis of lower urinary tract dysfunction (LUTD). Clinically, the need of urinary catheter insertion procedure is determined by the amount of residual urine inside bladder through bladder sonography. If for each time the urination volume is less than the volume inside bladder, it will increase the residual urine volume gradually. As a result, the patient fails to urinate and urinary retention is occurred. In order to release retention, it is needed to insert urinary catheter into the urinary bladder. The approach currently being used in clinical is to estimate the residual urine from ultrasound image via an equation (Volume = Length × Width × Height × 0.52), in which human efforts are required. Besides, the resulting measurement is still not accurate enough. Therefore, a solution that treat each pixel signature vector in bladder as the target signal to do classification is proposed in this paper.",

keywords = "algorithm design and analysis, automated bladder volume measurement, bladder sonography image segmentation, lower urinary tract dysfunction (LUTD), urinary retention",

author = "Li, \{Hsiao Chi\} and Chang, \{Meng Lin\} and Liu, \{Chang Geng\} and Chen, \{Bo Chang\} and Hsu, \{Chien Chang\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2018 ; Conference date: 27-11-2018 Through 30-11-2018",

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Li, HC, Chang, ML, Liu, CG, Chen, BC & Hsu, CC 2018, An Automated Bladder Volume Measurement for Assisting Diagnosis in Lower Urinary Tract Dysfunction. in ISPACS 2018 - 2018 International Symposium on Intelligent Signal Processing and Communication Systems., 8923259, ISPACS 2018 - 2018 International Symposium on Intelligent Signal Processing and Communication Systems, Institute of Electrical and Electronics Engineers Inc., pp. 141-145, 2018 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2018, Ishigaki Island, Okinawa, Japan, 27/11/18. https://doi.org/10.1109/ISPACS.2018.8923259

An Automated Bladder Volume Measurement for Assisting Diagnosis in Lower Urinary Tract Dysfunction. / Li, Hsiao Chi; Chang, Meng Lin; Liu, Chang Geng et al.
ISPACS 2018 - 2018 International Symposium on Intelligent Signal Processing and Communication Systems. Institute of Electrical and Electronics Engineers Inc., 2018. p. 141-145 8923259 (ISPACS 2018 - 2018 International Symposium on Intelligent Signal Processing and Communication Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hsu, Chien Chang

PY - 2018/11

Y1 - 2018/11

N2 - Volume of the urinary bladder is an important factor for diagnosis of lower urinary tract dysfunction (LUTD). Clinically, the need of urinary catheter insertion procedure is determined by the amount of residual urine inside bladder through bladder sonography. If for each time the urination volume is less than the volume inside bladder, it will increase the residual urine volume gradually. As a result, the patient fails to urinate and urinary retention is occurred. In order to release retention, it is needed to insert urinary catheter into the urinary bladder. The approach currently being used in clinical is to estimate the residual urine from ultrasound image via an equation (Volume = Length × Width × Height × 0.52), in which human efforts are required. Besides, the resulting measurement is still not accurate enough. Therefore, a solution that treat each pixel signature vector in bladder as the target signal to do classification is proposed in this paper.

AB - Volume of the urinary bladder is an important factor for diagnosis of lower urinary tract dysfunction (LUTD). Clinically, the need of urinary catheter insertion procedure is determined by the amount of residual urine inside bladder through bladder sonography. If for each time the urination volume is less than the volume inside bladder, it will increase the residual urine volume gradually. As a result, the patient fails to urinate and urinary retention is occurred. In order to release retention, it is needed to insert urinary catheter into the urinary bladder. The approach currently being used in clinical is to estimate the residual urine from ultrasound image via an equation (Volume = Length × Width × Height × 0.52), in which human efforts are required. Besides, the resulting measurement is still not accurate enough. Therefore, a solution that treat each pixel signature vector in bladder as the target signal to do classification is proposed in this paper.

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Li HC, Chang ML, Liu CG, Chen BC, Hsu CC. An Automated Bladder Volume Measurement for Assisting Diagnosis in Lower Urinary Tract Dysfunction. In ISPACS 2018 - 2018 International Symposium on Intelligent Signal Processing and Communication Systems. Institute of Electrical and Electronics Engineers Inc. 2018. p. 141-145. 8923259. (ISPACS 2018 - 2018 International Symposium on Intelligent Signal Processing and Communication Systems). doi: 10.1109/ISPACS.2018.8923259

An Automated Bladder Volume Measurement for Assisting Diagnosis in Lower Urinary Tract Dysfunction

Abstract

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Bibliographical note

Keywords

Access to Document

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