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Advanced Image Segmentation and Modeling for 3D Printing in Medicine

Currently the journal 3D Printing in Medicine is looking for submissions to the thematic series on "Advanced Image Segmentation and Modeling for 3D Printing in Medicine".

Medical 3D printing applications continue to expand, making the need for accurate, rapid image segmentation and 3D modeling an important component of a hospital-based workflow.  This series aims to highlight original research and comprehensive review articles that focus on image segmentation, 3D modeling and quality control of anatomic models and associated devices.

This collection of articles is being sponsored by Materialise, and all submissions will undergo the regular peer review process.

Now open for submissions! Please indicate that your are submitting to the thematic series "Advanced Image Segmentation and Modeling for 3D Printing in Medicine". For pre-submission inquiries please reach out to the guest editor Dr. Nicole Wake (nwake@montefiore.org).

  1. Training in retrograde intrarenal surgery for the treatment of renal stone disease is a challenging task due to the unique complexity of the procedure. This study introduces a series of 3D printed models of up...

    Authors: Luca Orecchia, Diego Manfrin, Stefano Germani, Dario Del Fabbro, Anastasios D. Asimakopoulos, Enrico Finazzi Agrò and Roberto Miano

    Citation: 3D Printing in Medicine 2021 7:15

    Content type: Research

    Published on:

  2. Three-dimensional (3D)-printed saw guides are frequently used to optimize osteotomy results and are usually designed based on computed tomography (CT), despite the radiation burden, as radiation-less alternati...

    Authors: Koen Willemsen, Mirte H. M. Ketel, Frank Zijlstra, Mateusz C. Florkow, Ruurd J. A. Kuiper, Bart C. H. van der Wal, Harrie Weinans, Behdad Pouran, Freek J. Beekman, Peter R. Seevinck and Ralph J. B. Sakkers

    Citation: 3D Printing in Medicine 2021 7:13

    Content type: Research

    Published on: