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Computational biomechanics for medicine. Personalisation, validation and therapy最新文献

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Parametric Study of Lumbar Belts in the Case of Low Back Pain: Effect of Patients’ Specific Characteristics 腰束在腰痛病例中的参数化研究:患者特殊特征的影响
Computational biomechanics for medicine. Personalisation, validation and therapy
Pub Date : 2020-08-14 DOI: 10.1007/978-3-030-15923-8_4
R. Bonnaire, W. Han, P. Calmels, R. Convert, J. Molimard
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引用次数: 3
Quantitative Validation of MRI-Based Motion Estimation for Brain Impact Biomechanics. 基于mri的脑碰撞生物力学运动估计的定量验证。
Computational biomechanics for medicine. Personalisation, validation and therapy
Pub Date : 2020-01-01 DOI: 10.1007/978-3-030-15923-8_5
Arnold D Gomez, Andrew K Knutsen, Dzung L Pham, Philip V Bayly, Jerry L Prince

Head impact can cause traumatic brain injury (TBI) through axonal overstretch or subsequent inflammation and understanding the biomechanics of the impact event is useful for TBI prevention research. Tagged magnetic resonance imaging (MRI) acquired during a mild-acceleration impact has enabled measurement and visualization of brain deformation in vivo. However, measurements using MRI are subject to error, and having independent validation while imaging in vivo is very difficult. Thus, characterizing the accuracy of these measurements needs to be done in a separate experiment using a phantom where a gold standard is available. This study describes a method for error quantification using a calibration phantom compatible with MRI and high-speed video (the gold standard). During linear acceleration, the maximum shear strain (MSS) in the phantom ranged from 0 to 12%, which is similar to in vivo brain deformation at a similar acceleration. The mean displacement error against video was 0.3±0.3 mm, and the MSS error was 1.4±0.3%. To match resolutions, video data was filtered temporally using an averaging filter. Compared to the unfiltered results, resolution matching improved the agreement between MRI and video results by 15%. In conclusion, tagged MRI analysis compares well to video data provided that resolutions are matched-a finding that is also applicable when using MRI to validate simulations.

头部撞击可通过轴突过度拉伸或随后的炎症引起创伤性脑损伤，了解撞击事件的生物力学对创伤性脑损伤的预防研究有重要意义。在轻度加速撞击期间获得的标记磁共振成像(MRI)使体内脑变形的测量和可视化成为可能。然而，使用MRI进行测量是有误差的，并且在体内成像时进行独立验证是非常困难的。因此，表征这些测量的准确性需要在一个单独的实验中完成，使用一个可用的金标准。本研究描述了一种使用与MRI和高速视频(金标准)兼容的校准幻影进行误差量化的方法。在线性加速过程中，脑幻影的最大剪切应变(MSS)范围为0 ~ 12%，与类似加速度下的活体脑变形相似。对视频的平均位移误差为0.3±0.3 mm, MSS误差为1.4±0.3%。为了匹配分辨率，使用平均滤波器对视频数据进行临时过滤。与未过滤的结果相比，分辨率匹配使MRI和视频结果之间的一致性提高了15%。总之，在分辨率匹配的情况下，标记MRI分析与视频数据相比效果更好，这一发现也适用于使用MRI验证模拟。
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引用次数: 1
Physics-Based Deep Neural Network for Real-Time Lesion Tracking in Ultrasound-Guided Breast Biopsy 超声引导乳腺活检中基于物理的深度神经网络实时病灶跟踪
Computational biomechanics for medicine. Personalisation, validation and therapy
Pub Date : 2019-10-13 DOI: 10.1007/978-3-030-42428-2_4
Andrea Mendizabal, E. Tagliabue, Jean-Nicolas Brunet, D. Dall’Alba, P. Fiorini, S. Cotin
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引用次数: 20
What Has Image Based Modelling of Cerebrospinal Fluid Flow in Chiari Malformation Taught Us About Syringomyelia Mechanisms? 基于图像的颅脑脊髓液流动模型对脊髓空洞机制有何启示?
Computational biomechanics for medicine. Personalisation, validation and therapy
Pub Date : 2019-10-13 DOI: 10.1007/978-3-030-42428-2_1
L. Bilston
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引用次数: 0
A Biomechanical Study on the Use of Curved Drilling Technique for Treatment of Osteonecrosis of Femoral Head 弯曲钻孔技术治疗股骨头坏死的生物力学研究
Computational biomechanics for medicine. Personalisation, validation and therapy
Pub Date : 2019-01-14 DOI: 10.1007/978-3-030-15923-8_7
Mahsan Bakhtiarinejad, F. Alambeigi, A. Chamani, M. Unberath, H. Khanuja, M. Armand
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引用次数: 6
A Hybrid 0D–1D Model for Cerebral Circulation and Cerebral Arteries 脑循环和脑动脉混合0D-1D模型
Computational biomechanics for medicine. Personalisation, validation and therapy
Pub Date : 2019-01-01 DOI: 10.1007/978-3-030-15923-8_8
N. Chau, H. Ho
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引用次数: 2
Patient-Specific Modeling of Pelvic System from MRI for Numerical Simulation: Validation Using a Physical Model 从MRI中对骨盆系统进行数值模拟的患者特异性建模:使用物理模型进行验证
Computational biomechanics for medicine. Personalisation, validation and therapy
Pub Date : 2019-01-01 DOI: 10.1007/978-3-030-15923-8_2
Zhifan Jiang, O. Mayeur, Laurent Patrouix, Delphine Cirette, J. Witz, Julien Dumont, M. Brieu
{"title":"Patient-Specific Modeling of Pelvic System from MRI for Numerical Simulation: Validation Using a Physical Model","authors":"Zhifan Jiang, O. Mayeur, Laurent Patrouix, Delphine Cirette, J. Witz, Julien Dumont, M. Brieu","doi":"10.1007/978-3-030-15923-8_2","DOIUrl":"https://doi.org/10.1007/978-3-030-15923-8_2","url":null,"abstract":"","PeriodicalId":72659,"journal":{"name":"Computational biomechanics for medicine. Personalisation, validation and therapy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88604576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Meshless Method for Simulation of Needle Insertion into Soft Tissues: Preliminary Results 针刺入软组织模拟的无网格方法:初步结果
Computational biomechanics for medicine. Personalisation, validation and therapy
Pub Date : 2019-01-01 DOI: 10.1007/978-3-030-15923-8_6
A. Wittek, G. Bourantas, G. Joldes, A. Khau, Konstantinos A. Mountris, Surya P. N. Singh, K. Miller
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引用次数: 4
Numerical Analysis of the Risk of Pelvis Injuries Under Multidirectional Impact Load 多向冲击载荷下骨盆损伤风险的数值分析
Computational biomechanics for medicine. Personalisation, validation and therapy
Pub Date : 2019-01-01 DOI: 10.1007/978-3-030-15923-8_3
K. Arkusz, T. Klekiel, R. Będziński
{"title":"Numerical Analysis of the Risk of Pelvis Injuries Under Multidirectional Impact Load","authors":"K. Arkusz, T. Klekiel, R. Będziński","doi":"10.1007/978-3-030-15923-8_3","DOIUrl":"https://doi.org/10.1007/978-3-030-15923-8_3","url":null,"abstract":"","PeriodicalId":72659,"journal":{"name":"Computational biomechanics for medicine. Personalisation, validation and therapy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74923214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Removing Drift from Carotid Arterial Pulse Waveforms: A Comparison of Motion Correction and High-Pass Filtering 去除颈动脉脉冲波形的漂移:运动校正和高通滤波的比较
Computational biomechanics for medicine. Personalisation, validation and therapy
Pub Date : 2019-01-01 DOI: 10.1007/978-3-030-15923-8_9
E. L. P. Tang, A. HajiRassouliha, M. Nash, A. Taberner, P. Nielsen, Y. Cakmak
{"title":"Removing Drift from Carotid Arterial Pulse Waveforms: A Comparison of Motion Correction and High-Pass Filtering","authors":"E. L. P. Tang, A. HajiRassouliha, M. Nash, A. Taberner, P. Nielsen, Y. Cakmak","doi":"10.1007/978-3-030-15923-8_9","DOIUrl":"https://doi.org/10.1007/978-3-030-15923-8_9","url":null,"abstract":"","PeriodicalId":72659,"journal":{"name":"Computational biomechanics for medicine. Personalisation, validation and therapy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76707356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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