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Biomechanical Modeling from In-Vivo Data

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Book cover Digital Human Modeling

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4650))

Abstract

Biomechanics assists in understanding the living organ functions both in normal conditions and after alterations. It plays an important role in the development of new prostheses, tools and procedures in the diagnostic, surgical and rehabilitative fields. Although experimental approaches produce direct and reliable measurements of the variables of interest, they are invasive and can alter physiological conditions and limit generalization. With the evolution of the medical and the diagnostic technologies, such as MRIs, CTs, EMGs, and EEGs, we can investigate the function of organs and tissues of a living and healthy subject without any or less invasiveness. In this Chapter, the authors survey the states-of-the-art of the biomechanics modeling methods and present a case study of the subject-specific cruciate ligaments model of the knee joint for living activities. In the model, the cross-sectional area and the reference length are estimated by means of subject-specific nuclear magnetic resonance (NMR) and 3D video-fluoroscopy respectively.

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Authors and Affiliations

  1. Department of Electronics, Computer Sciences and Systems, Università di Bologna, Via Venezia 52, 47023, Cesena, Italy

    Luigi Bertozzi

  2. Department of Electronics, Computer Sciences and Systems, Università di Bologna, Viale Risorgimento 2, 40136, Bologna, Italy

    Rita Stagni, Silvia Fantozzi & Angelo Cappello

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  1. Luigi Bertozzi
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  2. Rita Stagni
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  3. Silvia Fantozzi
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  4. Angelo Cappello
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Editors and Affiliations

  1. Ambient Intelligence Lab, CIC-2218, Carnegie Mellon University, 4720 Forbes Avenue, PA 15213, Pittsburgh, USA

    Yang Cai

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Bertozzi, L., Stagni, R., Fantozzi, S., Cappello, A. (2008). Biomechanical Modeling from In-Vivo Data. In: Cai, Y. (eds) Digital Human Modeling. Lecture Notes in Computer Science(), vol 4650. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89430-8_8

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