Imaging capabilities have been enhanced by scan modality. A review and comparison of some of the most effective open source libraries and medical application development has been implemented. A system composed of Ultrasound-Diagnostic-Machine-CMS600B2, a core i7-9750h Intel laptop processor, an easy-to-use capture tool for converting ultrasound analog images to digital images stored in a laptop and VR receiver to imagine a full organ. The understanding of 3D medical information earned very little consideration when it was intended to look at the ability of investigators to solve problems in 3D space. The aim of this research is to develop powerful computational techniques for integrating, interpreting and analyzing images for creative use in clinical practice. It’s turning into extra common to speak regarding 3D, 4D images formed by modern imaging techniques. The potential will be demonstrated by the evolution of medical imaging and VR systems that led to this system.
Various dentistry fields such as teeth treatment, dental restoration, and denture production require the application of three-dimensional intraoral scanners to create digital impressions. This study presents a method to reconstruct a three-dimensional teeth crown by utilizing a prototype intraoral custom design with publicly available software. The system consists of custom containing an endoscope camera and two light sources (white LED and blue laser), a personal control computer, and photogrammetric open source software packages (VisualSFM, CMVS/PMVS, and MeshLab). Photogrammetry methods were used to acquire the three-dimensional teeth model with high precision. Multi images have been captured of the interesting teeth using the custom system from different angles. The capturing process was done in two phases using one illumination source each time. The captured images are loading to Photogrammetry software to generate the three-dimensional dense point cloud. A comparison has been made of the resulted dense point cloud at each phase. Finally, the dense point cloud is loading to MeshLab software to generate the three-dimensional mesh that can be utilized in CAD/CAM software. The results have shown the superiority of using blue illumination with the photogrammetry software that shows good accuracy of teeth crown details and measurements that are related to the reconstruction algorithm which yields in more number of 3D points of the object to generate good three-dimensional meshes of the teeth crown. This study helps to offer low cost, simple design, and a user-friendly system to generate a three-dimensional teeth crown.
The traditional decay detection methods such as radiographs often are unsuccessful to detect initial enamel lesions that have not progressed to cavitation. Also, radiographs may refuse by patients for safety concerns. Thus, a new technique as intraoral visual camera developed to be useful tools for clinical dentistry, research, and caries detection. This paper aims to evaluate a diagnostic advantage of a new tool in integration with a prototype camera for detection of tooth caries in life images by using near infrared (780 NM) laser source. The results show the translucency of teeth in the near infrared range that offers a non-ionizing and safety to detect dental caries. Our system was tested with numbers of volunteers and successfully detected occluded and early caries lesions without supplementary image processing. Also, the near infrared system can provide details on the precise site of the lesion and also showing the extent of the lesion in enamel but cannot just so determine the lesion depth in dentin. The clinical near infrared system utility, simple design, low cost, and user friendliness make it an active dental caries diagnosis technology, which could aid provide individualized precautionary measures and noninvasively administration of caries and minimize the exposure to unnecessary non-ionizing radiation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.