Cone Beam Computed Tomography vs Multislice Computed Tomography in Computer-Aided Design/Computer-Assisted Manufacture Guided Implant Surgery Based on Three-Dimensional Optical Scanning and Stereolithographic Guides: Does Image Modality Matter?

2016 ◽  
pp. 527-533 ◽  
Author(s):  
Gerlig Widmann ◽  
Bastian Fischer ◽  
Johannes Berggren ◽  
Albina Dennhardt ◽  
Peter Schullian ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Computer Aided Design ◽  
Multislice Computed Tomography ◽  
Three Dimensional ◽  
Cone Beam ◽  
Computer Assisted ◽  
Optical Scanning ◽  
Computer Aided ◽  
Aided Design ◽  
Image Modality

The role of three-dimensional imaging in patients with cleft lip and palate

2013 ◽  
Vol 4 (3) ◽  
pp. 118-123
Author(s):  
Lauren Gardner ◽  
Toby Gillgrass ◽  
Mark Devlin
Keyword(s):  
Computer Aided Design ◽  
3D Imaging ◽  
Cleft Lip ◽  
Cleft Lip And Palate ◽  
Three Dimensional ◽  
Optical Scanning ◽  
Fixed Prosthodontics ◽  
Computer Aided ◽  
Dental Hospital ◽  
Aided Design

Three-dimensional (3D) imaging is revolutionising patient assessment, diagnosis, management and treatment planning. Restorative dentistry is using optical scanning such as the computer aided design/computer aided manufacture systems to help with tooth preparation design and construction of fixed prosthodontics. Other specialties in dentistry are frequently employing cone beam computed tomography (CBCT) to facilitate 3D imaging. This article outlines how CBCT and 3D sterophotogrammetry have been used in the management of cleft lip and palate with reference to the cleft team based at Glasgow Dental Hospital.

Computer-Aided Design of Thrombin Inhibitors

Physiology ◽  
1998 ◽  
Vol 13 (4) ◽  
pp. 182-189 ◽  
Author(s):  
Amedeo Caflisch ◽  
Rudolf Wälchli ◽  
Claus Ehrhardt
Keyword(s):  
Computer Aided Design ◽  
Three Dimensional ◽  
Ligand Design ◽  
Research Field ◽  
Thrombin Inhibitors ◽  
Dimensional Structure ◽  
Computer Assisted ◽  
Affinity Ligands ◽  
Computer Aided ◽  
Aided Design

Computer-aided ligand design is an active, challenging, and multidisciplinary research field that blends knowledge of biochemistry, physics, and computer sciences. Whenever it is possible to experimentally determine or to model the three-dimensional structure of a pharmacologically relevant enzyme or receptor, computational approaches can be used to design specific high-affinity ligands. This article describes methods, applications, and perspectives of computer-assisted ligand design.

Environmental footprint design tool: Exchanging geographical information system and computer-aided design data in real time

2016 ◽  
Vol 14 (4) ◽  
pp. 307-321 ◽  
Author(s):  
Earl Mark ◽  
Zita Ultmann
Keyword(s):  
Information System ◽  
Geographical Information System ◽  
Computer Aided Design ◽  
Three Dimensional ◽  
Building Design ◽  
Geographical Information ◽  
Computer Assisted ◽  
Computer Aided ◽  
System Data ◽  
Aided Design

The pairing of computer-aided design and geographical information system data creates an opportunity to connect an architectural design process with a robust analysis of its environmental constraints. Yet, the geographical information system data may be too overwhelmingly complex to be fully used in computer-aided design without computer-assisted methods of filtering relevant information. This article reports on the implementation of an integrated environment for three-dimensional computer-aided design and environmental impact. The project focused on a two-way data exchange between geographical information system and computer-aided design in building design. While the two different technologies may rely on separate representational models, in combination they can provide a more complete view of the natural and built environment. The challenge in integration is that of bridging the differences in analytical methods and database formats. Our approach is rooted in part in constraint-based design methods, well established in computer-aided design (e.g. Sketchpad, Generative Components, and computer-aided three-dimensional interactive application). Within such computer-aided design systems, geometrical transformations may be intentionally constrained to help enforce a set of design determinants. Although this current implementation modestly relates to geometrical constraints, the use of probabilistic risk values is more central to its methodology.

scholarly journals Anatomic Customization of Root-Analog Dental Implants With Cone-Beam CT and CAD/CAM Fabrication: A Cadaver-Based Pilot Evaluation

2018 ◽  
Vol 44 (1) ◽  
pp. 15-26 ◽  
Author(s):  
Zachary P. Evans ◽  
Walter G. Renne ◽  
Thierry R. Bacro ◽  
Anthony S. Mennito ◽  
Mark E. Ludlow ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Computer Aided Design ◽  
Cone Beam Ct ◽  
Cone Beam ◽  
Implant Design ◽  
Proof Of Concept ◽  
Computer Aided ◽  
Cad Cam ◽  
Human Cadavers ◽  
Aided Design

Existing root-analog dental implant systems have no standardized protocols regarding retentive design, surface manipulation, or prosthetic attachment design relative to the site's unique anatomy. Historically, existing systems made those design choices arbitrarily. For this report, strategies were developed that deliberately reference the adjacent anatomy, implant and restorable path of draw, and bone density for implant and retentive design. For proof of concept, dentate arches from human cadavers were scanned using cone-beam computed tomography and then digitally modeled. Teeth of interest were virtually extracted and manipulated via computer-aided design to generate root-analog implants from zirconium. We created a stepwise protocol for analyzing and developing the implant sites, implant design and retention, and prosthetic emergence and connection all from the pre-op cone-beam data. Root-analog implants were placed at the time of extraction and examined radiographically and mechanically concerning ideal fit and stability. This study provides proof of concept that retentive root-analog implants can be produced from cone-beam data while improving fit, retention, safety, esthetics, and restorability when compared to the existing protocols. These advancements may provide the critical steps necessary for clinical relevance and success of immediately placed root-analog implants. Additional studies are necessary to validate the model prior to clinical trial.

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