التفاصيل البيبلوغرافية
| العنوان: |
Propagation of material behavior uncertainty in a nonlinear finite element model of reconstructive surgery. |
| المؤلفون: |
Lee T; School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA., Turin SY; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA., Gosain AK; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA., Bilionis I; School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA., Buganza Tepole A; School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA. abuganza@purdue.edu.; Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA. abuganza@purdue.edu. |
| المصدر: |
Biomechanics and modeling in mechanobiology [Biomech Model Mechanobiol] 2018 Dec; Vol. 17 (6), pp. 1857-1873. Date of Electronic Publication: 2018 Aug 02. |
| نوع المنشور: |
Journal Article |
| اللغة: |
English |
| بيانات الدورية: |
Publisher: Springer Country of Publication: Germany NLM ID: 101135325 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1617-7940 (Electronic) Linking ISSN: 16177940 NLM ISO Abbreviation: Biomech Model Mechanobiol Subsets: MEDLINE |
| أسماء مطبوعة: |
Original Publication: Berlin ; New York : Springer, c2002- |
| مواضيع طبية MeSH: |
Head/*diagnostic imaging , Plastic Surgery Procedures/*methods , Skin/*pathology , Skull/*diagnostic imaging, Child ; Cicatrix ; Computer Simulation ; Female ; Finite Element Analysis ; Humans ; Materials Testing ; Models, Theoretical ; Necrosis/pathology ; Normal Distribution ; Principal Component Analysis ; Stress, Mechanical ; Tomography, X-Ray Computed |
| مستخلص: |
Excessive mechanical stress following surgery can lead to delayed healing, hypertrophic scars, and even skin necrosis. Measuring stress directly in the operating room over large skin areas is not feasible, and nonlinear finite element simulations have become an appealing alternative to predict stress contours on arbitrary geometries. However, this approach has been limited to generic cases, when in reality each patient geometry and procedure are unique, and material properties change from one person to another. In this manuscript, we use multi-view stereo to capture the patient-specific geometry of a 7-year-old female undergoing cranioplasty and complex tissue rearrangement. The geometry is used to setup a nonlinear finite element simulation of the reconstructive procedure. A key contribution of this work is incorporation of material behavior uncertainty. The finite element simulation is computationally expensive, and it is not suitable for uncertainty propagation which would require many such simulations. Instead, we run only a few expensive simulations in order to build a surrogate model by Gaussian process regression of the principal components of the stress fields computed with these few samples. The inexpensive surrogate is then used to compute the statistics of the stress distribution in this patient-specific scenario. |
| فهرسة مساهمة: |
Keywords: Gaussian process regression; Multi-view stereo; Nonlinear finite elements; Patient-specific simulation; Principal component analysis; Uncertainty propagation |
| تواريخ الأحداث: |
Date Created: 20180804 Date Completed: 20190228 Latest Revision: 20221207 |
| رمز التحديث: |
20231215 |
| DOI: |
10.1007/s10237-018-1061-4 |
| PMID: |
30073612 |
| قاعدة البيانات: |
MEDLINE |
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