2015
DOI: 10.1007/s00192-015-2804-8
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Assessment of urethral support using MRI-derived computational modeling of the female pelvis

Abstract: Introduction and Hypothesis This study aims to assess the role of individual anatomical structures and their combinations to urethral support function. Methods A realistic pelvic model was developed from an asymptomatic female subject’s MR images for dynamic biomechanical analysis using the finite element method. Validation was performed by comparing simulation results with dynamic MR imaging observations. Weaknesses of anatomical support structures were simulated by reducing their material stiffness. Urethr… Show more

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Cited by 26 publications
(22 citation statements)
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“…The EMG probes can also help advance pelvic biomechanical modeling and muscle imaging research [20,21]. Many computational pelvic floor models have been developed recently to investigate the biomechanics of incontinence and prolapse [22].…”
Section: Discussionmentioning
confidence: 99%
“…The EMG probes can also help advance pelvic biomechanical modeling and muscle imaging research [20,21]. Many computational pelvic floor models have been developed recently to investigate the biomechanics of incontinence and prolapse [22].…”
Section: Discussionmentioning
confidence: 99%
“…The 3D computational model of the female pelvis used in this study was adopted from previous modeling works [13, 14]. Briefly, T2 weighted MR images of the pelvis of a healthy female (21-year-old, white, Caucasian, nulliparous, nonsmoker, non-athletic, body mass index=22) were obtained axially with a 3T MR imaging scanner (Trio Tim, Siemens, Germany), with a slice thickness of 3mm, matrix of 320 × 160, field of view of 430mm and pixel size of 1.344mm.…”
Section: Methodsmentioning
confidence: 99%
“…A specially-designed bodyfill part was used to represent the intra-abdominal contents and to allow the transmission of IAP during athletic activities. This modeling approach has been validated using dynamic MR imaging in our previous study [13]. …”
Section: Methodsmentioning
confidence: 99%
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