2017
DOI: 10.1016/j.compbiomed.2016.11.017
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Numerical simulation of interaction between organs and food bolus during swallowing and aspiration

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Cited by 35 publications
(23 citation statements)
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“…The friction coefficient was varied to represent that of a 880 dry throat and a well disperse saliva coating. The authors presented a study to qualitatively compare simulations of a 6 mL water bolus with VFSS data (Kikuchi et al, 2017). A good agreement with in vivo observations was claimed by comparing the variations of brightness in the VFS images and the simulated bolus flow within the same control region close to the epiglottis.…”
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confidence: 74%
See 1 more Smart Citation
“…The friction coefficient was varied to represent that of a 880 dry throat and a well disperse saliva coating. The authors presented a study to qualitatively compare simulations of a 6 mL water bolus with VFSS data (Kikuchi et al, 2017). A good agreement with in vivo observations was claimed by comparing the variations of brightness in the VFS images and the simulated bolus flow within the same control region close to the epiglottis.…”
mentioning
confidence: 74%
“…The motion of organs is generated by imposing fixed displacements of internal 875 groups of particles within the organs. The contact between the organ walls was modeled with penalty functions using metaballs as more comprehensively described by the authors themselves (Kikuchi et al, 2017). The structural coupling between organs was discussed with particular emphasis on the down fold of the epiglottis.…”
mentioning
confidence: 99%
“…Bolus flow analysis was performed with an explicit MPS method for fluid analysis. Authors validated these models qualitatively and quantitatively with VFSS images (Kikuchi et al 2017). The authors observed that laryngeal penetration is highly related to the tilt angle of epiglottis.…”
Section: Summary Of Biomedical Simulation On Dysphagiamentioning
confidence: 92%
“…Analisa pengujian kekompakan merupakan hal yang penting dalam mempelajari sifat-sifat bolus dan proses deformasi suatu bahan pangan (Yoshimine et al, 2008). Salah satu hal yang harus diperhatikan dalam pengukuran kekompakan dengan menggunakan instrumen dapat tidak terdapat hubungan secara langsung dengan sifat sensori yang dirasakan secara langsung terutama disebabkan oleh struktur bahan pangan, komposisi dan interaksi fisikokimia yang berhubungan dengan bolus suatu bahan pangan (Ishihara et al, 2011;Bornhorst et al, 2014;Kikuchi et al, 2017;Rizo et al, 2018). Gaikwad (2012) menyatakan bahwa beberapa faktor seperti perbedaan dalam komposisi dan sifat-sifat fisik berhubungan dengan perbedaan dalam proses pemecahan dan fase transformasi, banyaknya bolus yang dibasahi oleh saliva, ukuran partikel dan jumlah lemak dalam bolus pada saat proses di dalam mulut berperan penting dalam mempengaruhi kekompakan cokelat.…”
Section: Atribut Tekstur Kekompakanunclassified