An Intensive Review on the Noninvasive Methods to Measure the Urinary Bladder Volume Using Ultrasound Images

Padmapriya, B.; Kesavamurthy, T.; Selvi, M.S. Thamalari; Gayathri, A.

doi:10.4028/www.scientific.net/amm.573.803

Cited by 7 publications

(9 citation statements)

References 10 publications

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“…The signal processing techniques also demonstrated comparatively well in measuring urinary bladder volume, as shown by J o u r n a l P r e -p r o o f the work of Padmapriya et al [19]. The same authors encompass different non-invasive methods to measure the bladder volume via ultrasound images in their recent publications [20].…”

Section: Introductionmentioning

confidence: 90%

Toward development of PreVoid alerting system for nocturnal enuresis patients: A fuzzy-based approach for determining the level of liquid encased in urinary bladder

Amina

Yazdani

Rovetta

et al. 2020

Artificial Intelligence in Medicine

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Section: Introductionmentioning

confidence: 90%

Toward development of PreVoid alerting system for nocturnal enuresis patients: A fuzzy-based approach for determining the level of liquid encased in urinary bladder

Amina

Yazdani

Rovetta

et al. 2020

Artificial Intelligence in Medicine

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“…The other key point is the method of bladder volume calculation. Padmapriya et al 23 summarized these methods, including Prolate Ellipsoid Method, Double Area Method, and Double Ellipsoid Method. In these methods, the bladder was usually assumed to be a regular shape such as an ellipsoid, and then an empirical formula for bladder volume was proposed.…”

Section: Costeffectivenessmentioning

confidence: 99%

“…But this method requires sophisticated 3D technology and software to implement. 23 Further, Chang et al 25 developed a novel 3D reconstruction model from B-mode (2D) ultrasound images for bladder volume measurement. The super ellipse shape modification was used in their 3D reconstruction model.…”

Section: Costeffectivenessmentioning

confidence: 99%

Weakly supervised learning‐based 3D bladder reconstruction from 2D ultrasound images for bladder volume measurement

et al. 2023

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BackgroundAccurate measurement of bladder volume is necessary to maintain the consistency of the patient's anatomy in radiation therapy for pelvic tumors. As the diversity of the bladder shape, traditional methods for bladder volume measurement from 2D ultrasound have been found to produce inaccurate results.PurposeTo improve the accuracy of bladder volume measurement from 2D ultrasound images for patients with pelvic tumors.MethodsThe bladder ultrasound images from 130 patients with pelvic cancer were collected retrospectively. All data were split into a training set (80 patients), a validation set (20 patients), and a test set (30 patients). A total of 12 transabdominal ultrasound images for one patient were captured by automatically rotating the ultrasonic probe with an angle step of 15°. An incomplete 3D ultrasound volume was synthesized by arranging these 2D ultrasound images in 3D space according to the acquisition angles. With this as input, a weakly supervised learning‐based 3D bladder reconstruction neural network model was built to predict the complete 3D bladder. The key point is that we designed a novel loss function, including the supervised loss of bladder segmentation in the ultrasound images at known angles and the compactness loss of the 3D bladder. Bladder volume was calculated by counting the number of voxels belonging to the 3D bladder. The dice similarity coefficient (DSC) was used to evaluate the accuracy of bladder segmentation, and the relative standard deviation (RSD) was used to evaluate the calculation accuracy of bladder volume with that of computed tomography (CT) images as the gold standard.ResultsThe results showed that the mean DSC was up to 0.94 and the mean absolute RSD can be reduced to 6.3% when using 12 ultrasound images of one patient. Further, the mean DSC also was up to 0.90 and the mean absolute RSD can be reduced to 9.0% even if only two ultrasound images were used (i.e., the angle step is 90°). Compared with the commercial algorithm in bladder scanners, which has a mean absolute RSD of 13.6%, our proposed method showed a considerably huge improvement.ConclusionsThe proposed weakly supervised learning‐based 3D bladder reconstruction method can greatly improve the accuracy of bladder volume measurement. It has great potential to be used in bladder volume measurement devices in the future.

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“…The following non-invasive bladder-monitoring methods can be applied to OAB, UAB and OUAD. Ultrasonography primarily use signals or images to assess the volume of the bladder without the need to injure the patient through invasive operations [42]. Most clinical devices are operated based on ultrasonography techniques and are divided into stationary and portable devices.…”

Section: Ultrasonography Systemsmentioning

confidence: 99%

“…However, due to the many adverse side-effects, assistive electronic devices better suited to manage urological conditions are being explored. Several reviews have investigated the bladder-monitoring systems [41,42]. However, the recent development of flexible electronics and biocompatible materials provides a range of novel electronic solutions such as bladder-stimulation devices [43][44][45][46], bladder actuators [47][48][49] and artificial prosthetic devices [50][51][52] that can assist in emptying the bladder.…”

Section: Introductionmentioning

confidence: 99%

Advances in Assistive Electronic Device Solutions for Urology

et al. 2022

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Recent technology advances have led urology to become one of the leading specialities to utilise novel electronic systems to manage urological ailments. Contemporary bladder management strategies such as urinary catheters can provide a solution but leave the user mentally and physically debilitated. The unique properties of modern electronic devices, i.e., flexibility, stretchability, and biocompatibility, have allowed a plethora of new technologies to emerge. Many novel electronic device solutions in urology have been developed for treating impaired bladder disorders. These disorders include overactive bladder (OAB), underactive bladder (UAB) and other-urinary-affecting disorders (OUAD). This paper reviews common causes and conservative treatment strategies for OAB, UAB and OUAD, discussing the challenges and drawbacks of such treatments. Subsequently, this paper gives insight into clinically approved and research-based electronic advances in urology. Advances in this area cover bladder-stimulation and -monitoring devices, robot-assistive surgery, and bladder and sphincter prosthesis. This study aims to introduce the latest advances in electronic solutions for urology, comparing their advantages and disadvantages, and concluding with open problems for future urological device solutions.

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An Intensive Review on the Noninvasive Methods to Measure the Urinary Bladder Volume Using Ultrasound Images

Cited by 7 publications

References 10 publications

Toward development of PreVoid alerting system for nocturnal enuresis patients: A fuzzy-based approach for determining the level of liquid encased in urinary bladder

Toward development of PreVoid alerting system for nocturnal enuresis patients: A fuzzy-based approach for determining the level of liquid encased in urinary bladder

Weakly supervised learning‐based 3D bladder reconstruction from 2D ultrasound images for bladder volume measurement

Advances in Assistive Electronic Device Solutions for Urology

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