The Use of Laser Scanner and Rapid Prototyping to Fabricate Auricular Prosthesis

Singare, Sekou; Su, Zhong Ming; Xu, Gelin; Wei-ping, Wang; Zhou, Jianjun

doi:10.1109/iceee.2010.5661536

Cited by 7 publications

(10 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, only nasal dorsum length was significantly different in the test models generated from both high‐ and low‐resolution video data. The LS system has been successfully used in studies on facial landmark‐based analysis 9,12–22 . The accuracy of the LS system developed by Minolta (and/or Konica Minolta) has been described in detail in previous studies; 31–33 the best accuracy was reported as 0.56 ± 0.25 mm using VIVID 900 33 .…”

Section: Discussionmentioning

confidence: 99%

“…Notably, application of the LS technique has been studied in detail to assess facial landmarks and dimensions for maxillofacial and ear protheses 9,14–17 . Several reports have advocated the use of LS technology because of its superior time‐efficiency 18–21 and non‐invasiveness 22 . These technologies simplify the steps of prosthesis fabrication compared with the traditional process.…”

mentioning

confidence: 99%

“…Multiple studies have applied other digital technologies, such as computer‐aided design (CAD), 5,12,18–23 and three‐dimensional (3D) printing, 3,13,22 to the production process for maxillofacial prostheses. These applications have achieved some success in clinical use; however, most of the workflows require highly specialized devices.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Accuracy Evaluation of a Three‐Dimensional Model Generated from Patient‐Specific Monocular Video Data for Maxillofacial Prosthetic Rehabilitation: A Pilot Study

Matsuo

Mine

Kawahara

et al. 2020

Journal of Prosthodontics

View full text Add to dashboard Cite

Purpose: To evaluate if the combination of a monoscopic photogrammetry technique and smartphone-recorded monocular video data could be appropriately applied to maxillofacial prosthesis fabrication. Materials and Methods: Smartphone video and laser scanning data were recorded for five healthy volunteers (24.1 ± 0.7 years). Three-dimensional (3D) facial models were generated using photogrammetry software and a laser scanner. Smartphonerecorded video data were used to generate a photogrammetric 3D model. The videos were recorded at two resolutions: 1080 × 1920 (high resolution) and 720 × 1280 pixels (low resolution). The lengths of five nasal component parts (nose height, nasal dorsum length, nasal column length, nasal ala length, and nose breadth) were compared in the photogrammetric 3D models (as the test model) and the laser scanned 3D models (as the validation model) using reverse engineering software. Results: There was a significant difference in the nasal dorsum length between the test model and the validation model (high resolution; 95% confidence interval, 2.05-5.07, Low resolution; confidence interval, 2.19-5.69). In contrast to the nasal dorsum length, there were no significant differences in nose height, nose breadth, nasal ala length, and nasal column length. Conclusion: Using smartphone-recorded video data and a photogrammetry technique may be a promising technique to apply in the maxillofacial prosthetic rehabilitation workflow.

show abstract

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Accuracy Evaluation of a Three‐Dimensional Model Generated from Patient‐Specific Monocular Video Data for Maxillofacial Prosthetic Rehabilitation: A Pilot Study

Matsuo

Mine

Kawahara

et al. 2020

Journal of Prosthodontics

View full text Add to dashboard Cite

show abstract

“…The data available from the existing literature revealed the following acquisition modalities: CT scans [26,29,31,36,39,41,43,46,54,60,67,71], MRIs, CBCTs (for maxillary obturators) [22,24], structured light scanners [19][20][21]23,58], laser scanners [37,49,51,56,57,[62][63][64]68,70], light intensity scanners [30], facial scanners, intraoral scanners (IOSs) [3,18,25,27,32,44,53], desktop scanners [34,66], 3D photogrammetry [28,40,52,55,59,69], the monoscopic photogrammetry technique with a mobile phone [15] or two (or more) of the following combined registration modalities: CT and a facial scanner [61], CT an...…”

Section: Anatomic Data Acquisitionmentioning

confidence: 99%

Digital Workflow in Maxillofacial Prosthodontics—An Update on Defect Data Acquisition, Editing and Design Using Open-Source and Commercial Available Software

et al. 2021

View full text Add to dashboard Cite

Background: A maxillofacial prosthesis, an alternative to surgery for the rehabilitation of patients with facial disabilities (congenital or acquired due to malignant disease or trauma), are meant to replace parts of the face or missing areas of bone and soft tissue and restore oral functions such as swallowing, speech and chewing, with the main goal being to improve the quality of life of the patients. The conventional procedures for maxillofacial prosthesis manufacturing involve several complex steps, are very traumatic for the patient and rely on the skills of the maxillofacial team. Computer-aided design and computer-aided manufacturing have opened a new approach to the fabrication of maxillofacial prostheses. Our review aimed to perform an update on the digital design of a maxillofacial prosthesis, emphasizing the available methods of data acquisition for the extraoral, intraoral and complex defects in the maxillofacial region and assessing the software used for data processing and part design. Methods: A search in the PubMed and Scopus databases was done using the predefined MeSH terms. Results: Partially and complete digital workflows were successfully applied for extraoral and intraoral prosthesis manufacturing. Conclusions: To date, the software and interface used to process and design maxillofacial prostheses are expensive, not typical for this purpose and accessible only to very skilled dental professionals or to computer-aided design (CAD) engineers. As the demand for a digital approach to maxillofacial rehabilitation increases, more support from the software designer or manufacturer will be necessary to create user-friendly and accessible modules similar to those used in dental laboratories.

show abstract

“…As it is already routinely applied to many scientific fields, 3D scanning technology, including laser scanning and white light scanning, are now being used to explore applications in medicine. In healthcare, the technology has also been used in development of prostheses [1]. Translated scan data can be immediately usable in computer aided design software, improving the speed of development of prosthesis.…”

Section: Introductionmentioning

confidence: 99%

A Haptic-Based Virtual Reality Head and Neck Model for Dental Education

Anderson

Poyade

2014

Virtual, Augmented Reality and Serious Games for Healthcare 1

View full text Add to dashboard Cite

There have been numerous datasets, 3D models and simulations developed over the years however it is clear that there is a need to provide an anatomically accurate, flexible, user driven virtual training environment that can potentially offer significant advantages over traditional teaching methods, techniques and practices. The ability to virtually train dental trainees to navigate and interact in a repeatable format, before directly engaging with the patients can measurably reduce error rates while significantly enhancing the learner experience. Accurate dental simulation with force feedback allows dental students to familiarize with clinical procedures and master practical skills with realistic tactual sensation. In this chapter, we review the state of art of using haptics in dental training and present the development and construction of a medically validated high-definition interactive 3D head and neck anatomical dataset with a haptic interface to support and enhance dental teaching across multiple training sites for NHS Education Scotland. Data acquisition from cadaveric specimens and 3D laser scanning of precision dissection is discussed, including techniques employed to build digital models capable of real-time interaction and display. Digital anatomical model construction is briefly described, including the necessity to clinically validate each stage of development that would ensure a normalised human data set whilst removing anatomical variance arising from individual donor cadaveric material. This complex digital model was transformed into a real-time environment capable of largescale 3D stereo display in medical teaching labs across Scotland, whilst also offering the support for single users with laptops and PC. The 3D viewer environment also

show abstract

The Use of Laser Scanner and Rapid Prototyping to Fabricate Auricular Prosthesis

Cited by 7 publications

References 12 publications

Accuracy Evaluation of a Three‐Dimensional Model Generated from Patient‐Specific Monocular Video Data for Maxillofacial Prosthetic Rehabilitation: A Pilot Study

Accuracy Evaluation of a Three‐Dimensional Model Generated from Patient‐Specific Monocular Video Data for Maxillofacial Prosthetic Rehabilitation: A Pilot Study

Digital Workflow in Maxillofacial Prosthodontics—An Update on Defect Data Acquisition, Editing and Design Using Open-Source and Commercial Available Software

A Haptic-Based Virtual Reality Head and Neck Model for Dental Education

Contact Info

Product

Resources

About