Finite element analysis of male lower urinary tract based on the collodion slice images_Journal of Biomedical Engineering

Authors：

ZHOU Jingsong ¹ ,  WANG Fang ^1,2 , ZHANG Jianguo ^1,2 , ZHAI Lidong ³ , ZHOU Luan ¹ , PAN Kui ¹

1. College of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin 300222, P.R.China;
2. The Key Laboratory of Integrated Design and On-Line Monitoring of Light Industrial and Food Engineering Machinery and Equipment in Tianjin, Tianjin 300222, P.R.China;
3. School of Basic Medicine, Medical University of Tianjin, Tianjin 300070, P.R.China;

Corresponding author：

WANG Fang, Email: fwang@tust.edu.cn

Keywords：

lower urinary tract; collodion slice; finite element; fluid-structure interaction; response mechanism

DOI：

10.7507/1001-5515.201708008

Video：

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Abstract Full text Figures/Tables Video References Cited by

Males typically have high rates of morbidity of primary bladder neck obstruction, while the existing urodynamic examination is invasive and more likely to cause false diagnosis. To build a non-invasive biomechanical detecting system for the male lower urinary tract, a finite element model for male lower urinary tract based on the collodion slice images of normal male lower urinary tract was constructed, and the fluid-structure interaction of the lower urinary tract was simulated based on the real urination environment. The finite element model of the lower urinary tract was validated by comparing the clinical experiment data with the simulation result. The stress, flow rate and deformation of the lower urinary tract were analyzed, and the results showed that the Von Mises stress and the wall shear stress at the membrane sphincter in the normal male lower urinary tract model reached a peak, and there was nearly 1 s delay than in the bladder pressure, which helped to validate the model. This paper lays a foundation for further research on the urodynamic response mechanism of the bladder pressure and flow rate of the lower urinary tract obstruction model, which can provide a theoretical basis for the research of non-invasive biomechanical detecting system.

Citation： ZHOU Jingsong, WANG Fang, ZHANG Jianguo, ZHAI Lidong, ZHOU Luan, PAN Kui. Finite element analysis of male lower urinary tract based on the collodion slice images. Journal of Biomedical Engineering, 2018, 35(4): 592-597. doi: 10.7507/1001-5515.201708008 Copy

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2.	Alan J W, Kavoussi L R, Andrew C N. 坎贝尔-沃尔什泌尿外科学. 北京: 北京大学医学出版社, 2009: 1-2156.
3.	Cookson M M. Prostate cancer: screening and early detection. Cancer Control, 2001, 8(2): 133-140.
4.	Kren J, Horák M, Zát’ura F, et al. Mathematical model of the male urinary tract. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub, 2001, 145(2): 91-96.
5.	Zheng Junming, Pan Jiangang, Qin Yi, et al. Role for intravesical prostatic protrusion in lower urinary tract symptom: a fluid structural interaction analysis study. BMC Urol, 2015, 15(1): 86.
6.	杨晓云, 周围, 李怀芳, 等. 下尿路三维模型在压力性尿失禁诊治中的应用. 同济大学学报: 医学版, 2017, (3): 76-80.
7.	Zhai Lidong, Liu Jin, Li Yunsheng, et al. The male rectourethralis and deep transverse perineal muscles and their relationship to adjacent structures examined with successive slices of celloidin-embedded pelvic viscera. Eur Urol, 2011, 59(3): 415-421.
8.	Boubaker M B, Haboussi M, Ganghoffer J F, et al. Predictive model of the prostate motion in the context of radiotherapy: a biomechanical approach relying on urodynamic data and mechanical testing. J Mech Behav Biomed Mater, 2015, 49(6): 30-42.
9.	Samavati N, Mcgrath D M, Jewett M A, et al. Effect of material property heterogeneity on biomechanical modeling of prostate under deformation. Phys Med Biol, 2015, 60(1): 195-209.
10.	Boubaker M B, Haboussi M, Ganghoffer J F, et al. Finite element simulation of interactions between pelvic organs: predictive model of the prostate motion in the context of radiotherapy. J Biomech, 2009, 42(12): 1862-1868.
11.	Bréaud J, Montoro J, Lecompte J F, et al. Posterior urethral injuries associated with motorcycle accidents and pelvic trauma in adolescents: analysis of urethral lesions occurring prior to a bony fracture using a computerized finite-element model. J Pediatr Urol, 2013, 9(1): 62-70.
12.	Wang Yi, Cheng Jiezhi, Ni Dong, et al. Towards personalized statistical deformable model and hybrid point matching for robust MR-TRUS registration. IEEE Trans Med Imaging, 2016, 35(2): 589-604.
13.	Aenis M, Stancampiano A P, Wakhloo A K, et al. Modeling of flow in a straight stented and nonstented side wall aneurysm model. J Biomech Eng, 1997, 119(2): 206-212.
14.	赵元, 叶福丽. 医学物理学. 北京: 科学出版社, 2017: 1-308.
15.	王兴继, 姜杉. 基于计算机图形处理与有限元仿真的前列腺穿刺变形模拟. 计算机应用研究, 2016, 33(2): 620-623.
16.	Korkmaz I, Rogg B. A simple fluid-mechanical model for the prediction of the stress-strain relation of the male urinary bladder. J Biomech, 2007, 40(3): 663-668.
17.	金锡御, 宋波. 临床尿动力学. 北京: 人民卫生出版社, 2002: 1-392.
18.	艾布拉姆斯. 尿动力学. 北京: 人民卫生出版社, 1999: 1-508.

1. Padmanabhan P, Nitti V W. Primary bladder neck obstruction in men, women, and children. Curr Urol Rep, 2007, 8(5): 379-384.
2. Alan J W, Kavoussi L R, Andrew C N. 坎贝尔-沃尔什泌尿外科学. 北京: 北京大学医学出版社, 2009: 1-2156.
3. Cookson M M. Prostate cancer: screening and early detection. Cancer Control, 2001, 8(2): 133-140.
4. Kren J, Horák M, Zát’ura F, et al. Mathematical model of the male urinary tract. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub, 2001, 145(2): 91-96.
5. Zheng Junming, Pan Jiangang, Qin Yi, et al. Role for intravesical prostatic protrusion in lower urinary tract symptom: a fluid structural interaction analysis study. BMC Urol, 2015, 15(1): 86.
6. 杨晓云, 周围, 李怀芳, 等. 下尿路三维模型在压力性尿失禁诊治中的应用. 同济大学学报: 医学版, 2017, (3): 76-80.
7. Zhai Lidong, Liu Jin, Li Yunsheng, et al. The male rectourethralis and deep transverse perineal muscles and their relationship to adjacent structures examined with successive slices of celloidin-embedded pelvic viscera. Eur Urol, 2011, 59(3): 415-421.
8. Boubaker M B, Haboussi M, Ganghoffer J F, et al. Predictive model of the prostate motion in the context of radiotherapy: a biomechanical approach relying on urodynamic data and mechanical testing. J Mech Behav Biomed Mater, 2015, 49(6): 30-42.
9. Samavati N, Mcgrath D M, Jewett M A, et al. Effect of material property heterogeneity on biomechanical modeling of prostate under deformation. Phys Med Biol, 2015, 60(1): 195-209.
10. Boubaker M B, Haboussi M, Ganghoffer J F, et al. Finite element simulation of interactions between pelvic organs: predictive model of the prostate motion in the context of radiotherapy. J Biomech, 2009, 42(12): 1862-1868.
11. Bréaud J, Montoro J, Lecompte J F, et al. Posterior urethral injuries associated with motorcycle accidents and pelvic trauma in adolescents: analysis of urethral lesions occurring prior to a bony fracture using a computerized finite-element model. J Pediatr Urol, 2013, 9(1): 62-70.
12. Wang Yi, Cheng Jiezhi, Ni Dong, et al. Towards personalized statistical deformable model and hybrid point matching for robust MR-TRUS registration. IEEE Trans Med Imaging, 2016, 35(2): 589-604.
13. Aenis M, Stancampiano A P, Wakhloo A K, et al. Modeling of flow in a straight stented and nonstented side wall aneurysm model. J Biomech Eng, 1997, 119(2): 206-212.
14. 赵元, 叶福丽. 医学物理学. 北京: 科学出版社, 2017: 1-308.
15. 王兴继, 姜杉. 基于计算机图形处理与有限元仿真的前列腺穿刺变形模拟. 计算机应用研究, 2016, 33(2): 620-623.
16. Korkmaz I, Rogg B. A simple fluid-mechanical model for the prediction of the stress-strain relation of the male urinary bladder. J Biomech, 2007, 40(3): 663-668.
17. 金锡御, 宋波. 临床尿动力学. 北京: 人民卫生出版社, 2002: 1-392.
18. 艾布拉姆斯. 尿动力学. 北京: 人民卫生出版社, 1999: 1-508.

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