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

Salmi, Mika; Paloheimo, Kaija‐Stiina; Tuomi, Jukka; Wolff, Jan; Mäkitie, Antti

doi:10.1016/j.jcms.2012.11.041

Cited by 284 publications

(208 citation statements)

References 32 publications

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“…The accuracy of medical models varies between different materials, AM technologies and the machine used [32]. After six months of splint use, the GOM ATOS II Triple scan 3D scanner (GOM mbH, Germany) was used to capture a virtual threedimensional model of the product used.…”

Section: Discussionmentioning

confidence: 99%

A digital process for additive manufacturing of occlusal splints: a clinical pilot study

Salmi

Paloheimo

Tuomi

et al. 2013

J. R. Soc. Interface.

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117

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The aim of this study was to develop and evaluate a digital process for manufacturing of occlusal splints. An alginate impression was taken from the upper and lower jaws of a patient with temporomandibular disorder owing to cross bite and wear of the teeth, and then digitized using a table laser scanner. The scanned model was repaired using the 3DATA EXPERT software, and a splint was designed with the VISCAM RP software. A splint was manufactured from a biocompatible liquid photopolymer by stereolithography. The system employed in the process was SLA 350. The splint was worn nightly for six months. The patient adapted to the splint well and found it comfortable to use. The splint relieved tension in the patient's bite muscles. No sign of tooth wear or significant splint wear was detected after six months of testing. Modern digital technology enables us to manufacture clinically functional occlusal splints, which might reduce costs, dental technician working time and chair-side time. Maximum-dimensional errors of approximately 1 mm were found at thin walls and sharp corners of the splint when compared with the digital model.

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Section: Discussionmentioning

confidence: 99%

A digital process for additive manufacturing of occlusal splints: a clinical pilot study

Salmi

Paloheimo

Tuomi

et al. 2013

J. R. Soc. Interface.

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117

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“…Based on CT and MRI data of real anatomical structures, it is possible to manufacture physical models which reconstruct complex inner structures very precisely [2,20,27]. It allows us to avoid simplified assumptions in experimental analysis.…”

Section: Discussionmentioning

confidence: 99%

Methods of reconstructing complex multi-structural anatomical objects with RP techniques

Kudasik

Miechowicz

2016

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. This article presents reconstruction methods applied to a (geometrically and physically) complex structural object with the use of RP and RT techniques. The methods are innovative due to their hybrid -multi-model and multi-material -approach to reconstruction, as well as the application of multiple technologies. An experimental analysis was conducted to verify the feasibility of rapid prototyping (RP) techniques in the reconstruction of complex internal structures using materials of diverse properties. Some RP techniques offer the possibility of discriminating between diverse objects through the use of different colours. Such models are well-suited for diagnostic purposes, for better visualisation of complex clinical problems, pathological alterations, etc. Nevertheless, they fail to fully reflect physical and mechanical properties of objects, which renders them useful in experimental analysis only to a limited extent. Their basic drawback is that they merely reflect geometrical features of the examined object. The methods discussed in the present article enable modelling multi-object structures in a single process based on the PolyJet Matrix technology and materials of different physical properties by means of a hybrid method. The article also describes the process of modelling complex anatomical structures of soft tissues and bones using models of the maxilla and the mandible as examples. The study is based on data acquired through standard computed tomography (CT). In addition, the article addresses selected aspects of CT acquisition, generation of numerical models composed of several anatomical structures (objects) and fabricating physical multi-object models.Key words: medical modelling, rapid prototyping, computed tomography (CT), experimental tests. tual models (3D numerical models) can be developed with the use of CT or MRI data. They can be useful in designing and fabricating physical models of real tissues by means of rapid prototyping techniques [3,4]. 3D models generated by the authors of the present study are shown in Fig. 2; they are based on anatomical structures presented in Fig.1. RP methods enable us to create physical models for medical purposes [5] such as: Methods of reconstructing complex multi-structural anatomical objects with RP techniques• maxillofacial and dental surgeries, • orthopaedic and spinal surgeries, • oncology and reconstruction surgeries, • customised joint replacement prosthesis, • patient-specific instrumentation (orthoses), • implant design, testing and validation.

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“…Several methods could be used to make a 3D model using selective laser sintering (SLS), 3D printing (3DP), FDM and PolyJet technologies [8,9]. FDM is one of the techniques used for 3DP.…”

Section: Introductionmentioning

confidence: 99%

“…Mallepree and Bergers (2009) reported on the accuracy of a conversion from CT images to 3D reconstruction and found that the accuracy varied between conversion parameters [8,15]. A complete scheme of model processing can be seen in Fig.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Model Printing in Oral and Maxillofacial Reconstructive Surgery: Comparison of Three-Dimensional Models and Multislice Computed Tomography Scans

2018

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Objective: The objective of this study is to compare fabrication of commonly used three-dimensional (3D) models with original multislice computed tomography (MSCT) scan data for accuracy and precision in reconstruction surgery.Methods: MSCT data from 10 samples are processed and manufactured to be 3D models. Both groups are then measured and analyzed for the purpose of comparison. Results:The average mandibular measurement difference between 3D models and MSCT scans is 0.26 mm more <2%. The final results of the comparison reveal high accuracy in 3D models compared to MSCT scan data. Conclusion:The 3D model could be considered as surgical guidance for maxillofacial reconstruction surgery since it yields highly accurate results.

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

Cited by 284 publications

References 32 publications

A digital process for additive manufacturing of occlusal splints: a clinical pilot study

A digital process for additive manufacturing of occlusal splints: a clinical pilot study

Methods of reconstructing complex multi-structural anatomical objects with RP techniques

Three-Dimensional Model Printing in Oral and Maxillofacial Reconstructive Surgery: Comparison of Three-Dimensional Models and Multislice Computed Tomography Scans

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