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Defining Soft Tissue: Bitmap Printing of Soft Tissue for Surgical Planning.
Jacobson, Nicholas; Carerra, Erik; Smith, Lawrence; Browne, Lorna; Stence, Nicholas; Sheridan, Alison; MacCurdy, Robert.
Afiliação
  • Jacobson N; School of Engineering, Design and Computation-Inworks Innovation Initiative, University of Colorado: Anschutz Medical Campus, Aurora, Colorado, USA.
  • Carerra E; School of Engineering, Design and Computation-Inworks Innovation Initiative, University of Colorado: Anschutz Medical Campus, Aurora, Colorado, USA.
  • Smith L; School of Engineering, University of Colorado: Boulder, Boulder, Colorado, USA.
  • Browne L; Pediatric Radiology, School of Medicine, University of Colorado: Anschutz Medical Campus, Aurora, Colorado, USA.
  • Stence N; School of Medicine, University of Colorado: Anschutz Medical Campus, Aurora, Colorado, USA.
  • Sheridan A; Department of Pediatric Neuroradiology, Children's Hospital Colorado, Aurora, Colorado, USA.
  • MacCurdy R; School of Medicine, University of Colorado: Anschutz Medical Campus, Aurora, Colorado, USA.
3D Print Addit Manuf ; 9(6): 461-472, 2022 Dec 01.
Article em En | MEDLINE | ID: mdl-36654967
ABSTRACT
Nearly all applications of 3D printing for surgical planning have been limited to bony structures and simple morphological descriptions of complex organs due to the fundamental limitations in accuracy, quality, and efficiency of the current modeling paradigms and technologies. Current approaches have largely ignored the constitution of soft tissue critical to most surgical specialties where multiple high-resolution variations transition gradually across the interior of the volume. Differences in the scales of organization related to unique organs require special attention to capture fine features critical to surgical procedures. We present a six-material bitmap printing technique for creating 3D models directly from medical images, which are superior in spatial and contrast resolution to current 3D modeling methods, and contain previously unachievable spatial fidelity for soft tissue differentiation. A retrospective exempt IRB was obtained for all data through the Colorado Multiple Institution Review Board #21-3128.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article