scholarly journals Software for Bioprinting

2020 ◽  
Vol 6 (3) ◽  
Author(s):  
Catherine Pakhomova ◽  
Dmitry Popov ◽  
Eugenii Maltsev ◽  
Iskander Akhatov ◽  
Alexander Pasko
Keyword(s):  
Computer Aided Design ◽  
Research Work ◽  
Three Dimensional ◽  
Software Tools ◽  
Primary Objective ◽  
Future Research ◽  
Three Dimensional Printing ◽  
Advantages And Disadvantages ◽  
Volume Modeling ◽  
Aided Design

The bioprinting of heterogeneous organs is a crucial issue. To reach the complexity of such organs, there is a need for highly specialized software that will meet all requirements such as accuracy, complexity, and others. The primary objective of this review is to consider various software tools that are used in bioprinting and to reveal their capabilities. The sub-objective was to consider different approaches for the model creation using these software tools. Related articles on this topic were analyzed. Software tools are classified based on control tools, general computer-aided design (CAD) tools, tools to convert medical data to CAD formats, and a few highly specialized research-project tools. Different geometry representations are considered, and their advantages and disadvantages are considered applicable to heterogeneous volume modeling and bioprinting. The primary factor for the analysis is suitability of the software for heterogeneous volume modeling and bioprinting or multimaterial three-dimensional printing due to the commonality of these technologies. A shortage of specialized suitable software tools is revealed. There is a need to develop a new application area such as computer science for bioprinting which can contribute significantly in future research work.

scholarly journals Main Clinical Use of Additive Manufacturing (Three-Dimensional Printing) in Finland Restricted to the Head and Neck Area in 2016–2017

2019 ◽  
Vol 109 (2) ◽  
pp. 166-173 ◽  
Author(s):  
A.B.V. Pettersson ◽  
M. Salmi ◽  
P. Vallittu ◽  
W. Serlo ◽  
J. Tuomi ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Computer Aided Design ◽  
Three Dimensional ◽  
Patient Specific ◽  
Future Research ◽  
Imaging Data ◽  
University Hospitals ◽  
Three Dimensional Printing ◽  
Dimensional Printing ◽  
Head Area

Background and Aims: Additive manufacturing or three-dimensional printing is a novel production methodology for producing patient-specific models, medical aids, tools, and implants. However, the clinical impact of this technology is unknown. In this study, we sought to characterize the clinical adoption of medical additive manufacturing in Finland in 2016–2017. We focused on non-dental usage at university hospitals. Materials and Methods: A questionnaire containing five questions was sent by email to all operative, radiologic, and oncologic departments of all university hospitals in Finland. Respondents who reported extensive use of medical additive manufacturing were contacted with additional, personalized questions. Results: Of the 115 questionnaires sent, 58 received answers. Of the responders, 41% identified as non-users, including all general/gastrointestinal (GI) and vascular surgeons, urologists, and gynecologists; 23% identified as experimenters or previous users; and 36% identified as heavy users. Usage was concentrated around the head area by various specialties (neurosurgical, craniomaxillofacial, ear, nose and throat diseases (ENT), plastic surgery). Applications included repair of cranial vault defects and malformations, surgical oncology, trauma, and cleft palate reconstruction. Some routine usage was also reported in orthopedics. In addition to these patient-specific uses, we identified several off-the-shelf medical components that were produced by additive manufacturing, while some important patient-specific components were produced by traditional methodologies such as milling. Conclusion: During 2016–2017, medical additive manufacturing in Finland was routinely used at university hospitals for several applications in the head area. Outside of this area, usage was much less common. Future research should include all patient-specific products created by a computer-aided design/manufacture workflow from imaging data, instead of concentrating on the production methodology.

Computer-aided design and three-dimensional printing improves symmetry in heminasal reconstruction outcomes

2019 ◽  
Vol 72 (7) ◽  
pp. 1198-1206 ◽  
Author(s):  
Cheng-I Yen ◽  
Jonathan A. Zelken ◽  
Chun-Shin Chang ◽  
Lun-Jou Lo ◽  
Jui-Yung Yang ◽  
...  
Keyword(s):  
Computer Aided Design ◽  
Three Dimensional ◽  
Three Dimensional Printing ◽  
Computer Aided ◽  
Aided Design ◽  
Dimensional Printing

Computer-aided design and three-dimensional printing in the manufacturing of an ocular prosthesis

2016 ◽  
Vol 100 (7) ◽  
pp. 879-881 ◽  
Author(s):  
Sébastien Ruiters ◽  
Yi Sun ◽  
Stéphan de Jong ◽  
Constantinus Politis ◽  
Ilse Mombaerts
Keyword(s):  
Computer Aided Design ◽  
Three Dimensional ◽  
Three Dimensional Printing ◽  
Ocular Prosthesis ◽  
Computer Aided ◽  
Aided Design ◽  
Dimensional Printing

scholarly journals Three-dimensional printing of a patient-specific engineered nasal cartilage for augmentative rhinoplasty

2019 ◽  
Vol 10 ◽  
pp. 204173141882479 ◽  
Author(s):  
Hee-Gyeong Yi ◽  
Yeong-Jin Choi ◽  
Jin Woo Jung ◽  
Jinah Jang ◽  
Tae-Ha Song ◽  
...  
Keyword(s):  
Stem Cells ◽  
Computer Aided Design ◽  
Three Dimensional ◽  
Patient Specific ◽  
Adipose Derived Stem Cells ◽  
Three Dimensional Printing ◽  
Nasal Cartilage ◽  
Computer Aided ◽  
Aided Design ◽  
Dimensional Printing

Autologous cartilages or synthetic nasal implants have been utilized in augmentative rhinoplasty to reconstruct the nasal shape for therapeutic and cosmetic purposes. Autologous cartilage is considered to be an ideal graft, but has drawbacks, such as limited cartilage source, requirements of additional surgery for obtaining autologous cartilage, and donor site morbidity. In contrast, synthetic nasal implants are abundantly available but have low biocompatibility than the autologous cartilages. Moreover, the currently used nasal cartilage grafts involve additional reshaping processes, by meticulous manual carving during surgery to fit the diverse nose shape of each patient. The final shapes of the manually tailored implants are highly dependent on the surgeons’ proficiency and often result in patient dissatisfaction and even undesired separation of the implant. This study describes a new process of rhinoplasty, which integrates three-dimensional printing and tissue engineering approaches. We established a serial procedure based on computer-aided design to generate a three-dimensional model of customized nasal implant, and the model was fabricated through three-dimensional printing. An engineered nasal cartilage implant was generated by injecting cartilage-derived hydrogel containing human adipose-derived stem cells into the implant containing the octahedral interior architecture. We observed remarkable expression levels of chondrogenic markers from the human adipose-derived stem cells grown in the engineered nasal cartilage with the cartilage-derived hydrogel. In addition, the engineered nasal cartilage, which was implanted into mouse subcutaneous region, exhibited maintenance of the exquisite shape and structure, and striking formation of the cartilaginous tissues for 12 weeks. We expect that the developed process, which combines computer-aided design, three-dimensional printing, and tissue-derived hydrogel, would be beneficial in generating implants of other types of tissue.

scholarly journals 3D Printing Technology in Pharmaceutical Drug Delivery

2021 ◽  
Vol 68 (1) ◽  
Keyword(s):  
Drug Delivery ◽  
3D Printing ◽  
Computer Aided Design ◽  
Three Dimensional ◽  
Pharmaceutical Manufacturing ◽  
Three Dimensional Printing ◽  
Pharmaceutical Drug ◽  
Pharmaceutical Technology ◽  
Aided Design ◽  
Dimensional Printing

Three dimensional printing (3DP) enables the development of diverse geometries through computer aided design using different techniques and materials for desired applications such as pharmaceutical drug delivery system. The process of 3D printing was patented in 1986; however, the research in the field of 3DP did not become popular until the last decade. There has been an increasing research into the areas of 3DP for medical applications for fabricating prosthetics, bioprinting and pharmaceutics. It becomes one of the most innovatory and influential tools serving as a technology of precise manufacturing of developed dosage forms, tissue engineering and disease modelling. It is a valuable strategy to overcome some challenges of conventional pharmaceutical process. This technology will reform the pharmaceutical manufacturing style and formulation techniques. The present review focused on various techniques, applications of 3D printing in pharmaceutical technology.

Mask Image Planning for Deformation Control in Projection-Based Stereolithography Process

2015 ◽  
Vol 137 (3) ◽  
Author(s):  
Kai Xu ◽  
Yong Chen
Keyword(s):  
Computer Aided Design ◽  
Low Cost ◽  
Planning Method ◽  
Future Research ◽  
Research Directions ◽  
Deformation Control ◽  
Advantages And Disadvantages ◽  
3D Printers ◽  
Future Research Directions ◽  
Aided Design

The mask-image-projection-based stereolithography process (MIP-SL) using a digital micromirror device (DMD) is an area-processing-based additive manufacturing (AM) process. In the MIP-SL process, a set of mask images are dynamically projected onto a resin surface to selectively cure liquid resin into layers of an object. Consequently, the MIP-SL process can be faster with a lower cost than the laser-based stereolithography apparatus (SLA) process. Currently an increasing number of companies are developing low-cost 3D printers based on the MIP-SL process. However, current commercially available MIP-SL systems are mostly based on Acrylate resins, which have larger shrinkages when compared to epoxy resins used in the laser-based SLA process. Consequently, controlling the shrinkage-related shape deformation in the MIP-SL process is challenging. In this research, we evaluate different mask image exposing strategies for building part layers and their effects on the deformation control in the MIP-SL process. Accordingly, a mask image planning method and related algorithms have been developed for a given computer-aided design (CAD) model. The planned mask images have been tested by using a commercial MIP-SL machine. The experimental results illustrate that our method can effectively reduce the deformation by as much as 32%. A discussion on the advantages and disadvantages of the mask image planning method and future research directions are also presented.

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