Bioimaging Innovations in Bionics and Biomechanics

Y. Liu et al. proposed a novel data-driven decomposition model to decompose the conventional chest radiograph into both soft tissue and bone images and compared the results with virtual dual-energy subtraction (DES) imaging. Chang et al. constructed a finite element mandible model (cortical bone, ca...

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Veröffentlicht in:Applied bionics and biomechanics 2019, Vol.2019, p.1-2
Hauptverfasser: Lu, Yuan-Chiao, Erol, Ozan, Orrego, Santiago, Wu, Yao, Zhao, Li
Format: Artikel
Sprache:eng
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Zusammenfassung:Y. Liu et al. proposed a novel data-driven decomposition model to decompose the conventional chest radiograph into both soft tissue and bone images and compared the results with virtual dual-energy subtraction (DES) imaging. Chang et al. constructed a finite element mandible model (cortical bone, cancellous bone, miniplate, and screws) from high-resolution computed tomography (CT) images to investigate the biomechanical structures of four common occlusion conditions after bilateral sagittal split osteotomy surgical treatment. The evaluation of these measurements could help to determine the probability of intravertebral clef, and this study could provide a reference for surgeons when using imaging modalities to access the degree of vertebral body collapse.
ISSN:1176-2322
1754-2103
DOI:10.1155/2019/3651309