A Frame of 3D Printing Data Generation Method Extracted from CT Data

2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Shusen Zhao ◽  
Weibin Zhang ◽  
Wenjuan Sheng ◽  
Xing Zhao
Keyword(s):  
3D Printing ◽  
Data Generation ◽  
Ct Data

scholarly journals The Natural Historian's Guide to the CT Galaxy: Step-by-Step Instructions for Preparing and Analyzing Computed Tomographic (CT) Data Using Cross-Platform, Open Access Software

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
T J Buser ◽  
O F Boyd ◽  
Á Cortés ◽  
C M Donatelli ◽  
M A Kolmann ◽  
...  
Keyword(s):  
Open Access ◽  
3D Printing ◽  
3D Visualization ◽  
3D Models ◽  
Digital Data ◽  
Anatomical Structures ◽  
Computed Tomographic ◽  
Biomechanical Models ◽  
Cross Platform ◽  
Ct Data

Synopsis The decreasing cost of acquiring computed tomographic (CT) data has fueled a global effort to digitize the anatomy of museum specimens. This effort has produced a wealth of open access digital three-dimensional (3D) models of anatomy available to anyone with access to the Internet. The potential applications of these data are broad, ranging from 3D printing for purely educational purposes to the development of highly advanced biomechanical models of anatomical structures. However, while virtually anyone can access these digital data, relatively few have the training to easily derive a desirable product (e.g., a 3D visualization of an anatomical structure) from them. Here, we present a workflow based on free, open source, cross-platform software for processing CT data. We provide step-by-step instructions that start with acquiring CT data from a new reconstruction or an open access repository, and progress through visualizing, measuring, landmarking, and constructing digital 3D models of anatomical structures. We also include instructions for digital dissection, data reduction, and exporting data for use in downstream applications such as 3D printing. Finally, we provide Supplementary Videos and workflows that demonstrate how the workflow facilitates five specific applications: measuring functional traits associated with feeding, digitally isolating anatomical structures, isolating regions of interest using semi-automated segmentation, collecting data with simple visual tools, and reducing file size and converting file type of a 3D model.

scholarly journals Development of 4D CT Data Generation Program based on CAD Models through the Convergence of Biomedical Engineering

2017 ◽  
Vol 8 (4) ◽  
pp. 131-137
Author(s):  
Jeong Min Seo ◽  
Min Cheol Han ◽  
Hyun Su Lee ◽  
Se Hyung Lee ◽  
Chan Hyeong Kim
Keyword(s):  
Biomedical Engineering ◽  
Data Generation ◽  
4D Ct ◽  
Cad Models ◽  
Ct Data

3D Printing in Cranioplasty for Giant Cranial Deformity with Multi-Dimensional Nuclear Magnetic Simulation

2021 ◽  
Vol 11 (6) ◽  
pp. 1668-1677
Author(s):  
Xiyao Liu ◽  
Yongzao Ye ◽  
Xin Gao ◽  
Zhanxiang Wang
Keyword(s):  
3D Printing ◽  
Geometric Modeling ◽  
Frontal Plane ◽  
Treatment Technology ◽  
Cranial Deformity ◽  
Lower Pain ◽  
Depth Study ◽  
The Difference ◽  
Ct Data ◽  
Nuclear Magnetic

This article is based on 3D printing technology, through multi-dimensional nuclear magnetic stimulation to the in-depth study of the application of plastic surgery in patients with giant cranial deformity cranial reduction, first of all, patients with CT scan of the brain, based on CT data for 3D reconstruction, 3D geometric modeling, using 3D printing Prepare multiple skull 1:1 scale, solid models, perform surgical planning and drills, determine the surgical plan (related parameters such as surgical time, cranial cavity volume, frontal plane ratio, anterior-posterior diameter, left-right diameter, head-to-height ratio, etc.), it can increase the patient’s speed and stride, and complete a variety of material tests. The 3D printing group had lower pain VAS scores at 1 h and 24 h after surgery than the traditional data group. The same data observed from different dimensions may yield different results, but also enable people to understand the nature of things more comprehensively and clearly. It was statistically significant (P < 0.05). The postoperative swelling of the 3D printing group was less than that of the customary group, and the difference was statistically significant (P < 0.05). Through 12 months of follow up observation, the power of 3D printing is higher than that of the habitual group, and the difference is statistically significant (P < 0.05). This technology has an important guiding significance in future related treatment technology.

Adapting trabecular structures for 3D printing: an image processing approach based on μ CT data

2017 ◽  
Vol 3 (3) ◽  
pp. 035027 ◽  
Author(s):  
U Homberg ◽  
D Baum ◽  
S Prohaska ◽  
J Günster ◽  
S Krauß-Schüler
Keyword(s):  
Image Processing ◽  
3D Printing ◽  
Processing Approach ◽  
Ct Data

scholarly journals Towards the production of radiotherapy treatment shells on 3D printers using data derived from DICOM CT and MRI: preclinical feasibility studies

2014 ◽  
Vol 14 (1) ◽  
pp. 92-98 ◽  
Author(s):  
S. D. Laycock ◽  
M. Hulse ◽  
C. D. Scrase ◽  
M. D. Tam ◽  
S. Isherwood ◽  
...  
Keyword(s):  
3D Printing ◽  
Computer Model ◽  
Three Dimensional ◽  
Feasibility Studies ◽  
3D Printer ◽  
Computer Algorithms ◽  
Ct Data ◽  
Using Data ◽  
Radiotherapy Treatment ◽  
Ct And Mri

AbstractBackground:Immobilisation for patients undergoing brain or head and neck radiotherapy is achieved using perspex or thermoplastic devices that require direct moulding to patient anatomy. The mould room visit can be distressing for patients and the shells do not always fit perfectly. In addition the mould room process can be time consuming. With recent developments in three-dimensional (3D) printing technologies comes the potential to generate a treatment shell directly from a computer model of a patient. Typically, a patient requiring radiotherapy treatment will have had a computed tomography (CT) scan and if a computer model of a shell could be obtained directly from the CT data it would reduce patient distress, reduce visits, obtain a close fitting shell and possibly enable the patient to start their radiotherapy treatment more quickly.Purpose:This paper focuses on the first stage of generating the front part of the shell and investigates the dosimetric properties of the materials to show the feasibility of 3D printer materials for the production of a radiotherapy treatment shell.Materials and methods:Computer algorithms are used to segment the surface of the patient’s head from CT and MRI datasets. After segmentation approaches are used to construct a 3D model suitable for printing on a 3D printer. To ensure that 3D printing is feasible the properties of a set of 3D printing materials are tested.Conclusions:The majority of the possible candidate 3D printing materials tested result in very similar attenuation of a therapeutic radiotherapy beam as the Orfit soft-drape masks currently in use in many UK radiotherapy centres. The costs involved in 3D printing are reducing and the applications to medicine are becoming more widely adopted. In this paper we show that 3D printing of bespoke radiotherapy masks is feasible and warrants further investigation.

scholarly journals High resolution 3D-printing of trabecular bone based on micro-CT data

2014 ◽  
Vol 2 (4) ◽  
pp. 238 ◽  
Author(s):  
Volker Kuhn ◽  
Nikola Ivanovic ◽  
Wolfgang Recheis
Keyword(s):  
High Resolution ◽  
3D Printing ◽  
Trabecular Bone ◽  
Micro Ct ◽  
Ct Data

Guide to Make CT Data Post-Processing for 3D Printing: CHD(Congenital Heart Disease)

2018 ◽  
Vol 20 (2) ◽  
pp. 7-15
Author(s):  
Sang-hyub Park ◽  
Dong Hyun Yang ◽  
Seung-jae Oh ◽  
Hye-Jin Kim
Keyword(s):  
Congenital Heart Disease ◽  
Heart Disease ◽  
3D Printing ◽  
Congenital Heart ◽  
Post Processing ◽  
Ct Data

scholarly journals Effects of Printing Parameters on the Fit of Implant-Supported 3D Printing Resin Prosthetics

Materials ◽  
2019 ◽  
Vol 12 (16) ◽  
pp. 2533 ◽  
Author(s):  
Gang-Seok Park ◽  
Seong-Kyun Kim ◽  
Seong-Joo Heo ◽  
Jai-Young Koak ◽  
Deog-Gyu Seo
Keyword(s):  
3D Printing ◽  
Layer Thickness ◽  
Micro Ct ◽  
Marginal Fit ◽  
Dental Model ◽  
Marginal Discrepancy ◽  
3D Printed ◽  
Ct Data ◽  
Internal Gap ◽  
Printing Parameters

The purpose of the study was to investigate the influence of 3D printing parameters on fit and internal gap of 3D printed resin dental prosthesis. The dental model was simulated and fabricated for three-unit prostheses with two implants. One hundred prostheses were 3D printed with two-layer thicknesses for five build orientations using a resin (NextDent C&B; 3D systems, Soesterberg, The Netherlands) and ten prostheses were manufactured with a milling resin as control. The prostheses were seated and scanned with micro-CT (computerized tomography). Internal gap volume (IGV) was calculated from 3D reconstructed micro-CT data. IGV, marginal fit, and lengths of internal gaps were measured, and the values were analyzed statistically. For the 3D printed prostheses, IGV was smaller at 45°, 60°, and 90° compared to other build orientations. The marginal fit evaluated by absolute marginal discrepancy was smaller than other build orientations at 45° and 60°. IGV was smaller at 50 µm layer thickness than at 100 µm layer thickness, but the marginal fit was smaller at 100 µm layer thickness than at 50 µm layer thickness. The 3D printed prosthesis had smaller internal gap than the milled prosthesis. The marginal fit of the 3D printed resin prosthesis was clinically acceptable, and build orientation of 45° and 60° would be recommended when considering fit and internal gap.

scholarly journals Vascular 3D Printing with a Novel Biological Tissue Mimicking Resin for Patient-Specific Procedure Simulations in Interventional Radiology: a Feasibility Study

2022 ◽  
Author(s):  
R. Kaufmann ◽  
C. J. Zech ◽  
M. Takes ◽  
P. Brantner ◽  
F. Thieringer ◽  
...  
Keyword(s):  
Interventional Radiology ◽  
3D Printing ◽  
Biological Tissue ◽  
Vascular System ◽  
Three Dimensional ◽  
Case Series ◽  
Ct Scanning ◽  
Patient Specific ◽  
Specific Procedure ◽  
Ct Data

AbstractThree-dimensional (3D) printing of vascular structures is of special interest for procedure simulations in Interventional Radiology, but remains due to the complexity of the vascular system and the lack of biological tissue mimicking 3D printing materials a technical challenge. In this study, the technical feasibility, accuracy, and usability of a recently introduced silicone-like resin were evaluated for endovascular procedure simulations and technically compared to a commonly used standard clear resin. Fifty-four vascular models based on twenty-seven consecutive embolization cases were fabricated from preinterventional CT scans and each model was checked for printing success and accuracy by CT-scanning and digital comparison to its original CT data. Median deltas (Δ) of luminal diameters were 0.35 mm for clear and 0.32 mm for flexible resin (216 measurements in total) with no significant differences (p > 0.05). Printing success was 85.2% for standard clear and 81.5% for the novel flexible resin. In conclusion, vascular 3D printing with silicone-like flexible resin was technically feasible and highly accurate. This is the first and largest consecutive case series of 3D-printed embolizations with a novel biological tissue mimicking material and is a promising next step in patient-specific procedure simulations in Interventional Radiology.

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