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3D Printing of CT Dataset: Validation of an Open Source and Consumer-Available Workflow

3D Printing of CT Dataset: Validation of an Open Source and Consumer-Available Workflow

http://www.wikidata.org/entity/Q30699870

about

Three-dimensional printing of X-ray computed tomography datasets with multiple materials using open-source data processing.Routine clinical application of virtual reality in abdominal surgery.

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P2860

3D Printing of CT Dataset: Validation of an Open Source and Consumer-Available Workflow

http://www.wikidata.org/entity/Q30699870

description

2015 nî lūn-bûn

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2015 թուականի Յուլիսին հրատարակուած գիտական յօդուած

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2015 թվականի հուլիսին հրատարակված գիտական հոդված

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2015年の論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年论文

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name

3D Printing of CT Dataset: Validation of an Open Source and Consumer-Available Workflow

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3D Printing of CT Dataset: Validation of an Open Source and Consumer-Available Workflow

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type

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3D Printing of CT Dataset: Validation of an Open Source and Consumer-Available Workflow

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3D Printing of CT Dataset: Validation of an Open Source and Consumer-Available Workflow

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3D Printing of CT Dataset: Validation of an Open Source and Consumer-Available Workflow

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3D Printing of CT Dataset: Validation of an Open Source and Consumer-Available Workflow

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Journal of Digital Imaging

P1476

3D Printing of CT Dataset: Validation of an Open Source and Consumer-Available Workflow

@en

P2093

Caterina Peroni

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Esmeralda Eshja

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Matteo A Orlandi

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Nicola Bizzotto

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Paolo Poggi

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P2860

A critical inventory of preoperative skull replicas

Comparative evaluation of dimension and surface detail accuracy of models produced by three different rapid prototype techniques.

Dimensional error in selective laser sintering and 3D-printing of models for craniomaxillary anatomy reconstruction.

Dimensional error of selective laser sintering, three-dimensional printing and PolyJet models in the reproduction of mandibular anatomy.

3D printing based on imaging data: review of medical applications.

Clinical applications of physical 3D models derived from MDCT data and created by rapid prototyping.

Segmentation process significantly influences the accuracy of 3D surface models derived from cone beam computed tomography.

Accuracy of medical models made by additive manufacturing (rapid manufacturing).

Accuracy of craniofacial measurements: computed tomography and three-dimensional computed tomography compared with stereolithographic models.

Preoperative three-dimensional model creation of magnetic resonance brain images as a tool to assist neurosurgical planning.

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14-21

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scholarly article

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10.1007/S10278-015-9810-8

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1

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29

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Chandra Bortolotto

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2015-07-15T00:00:00Z

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1040425362

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26175139

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open-source software

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4722024

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