3-dimensional wide scan angle optical scanning using code-multiplexed optical scanner

Purpose: The aim of this study was to evaluate the accuracy of high-frequency ultrasound (HFUS) for measurement of bone thickness surrounding dental implants. Methods: Eight porcine bone samples containing dental implants were scanned by a HFUS scanner and compared using cone-beam computed tomography (CBCT) and an optical scanner. Bone thickness was measured in the buccolingual region of dental implants in 10 points distributed between the platform and apical portion of the implant. Results: The mean measurement error for the ultrasound method was 0.11 mm, whereas CBCT showed a measurement error of 0.20 mm. For both devices, the maximal measurement error was 0.28 mm. Conclusion: Within the simulated limited conditions of this study, high-frequency ultrasound, with optical scanning used as a reference, presented higher accuracy in comparison to CBCT, and seems to be a promising tool for measuring peri-implant bone.

Download Full-text

Error Analysis of the ATOS 3D Optical Scanner in Vehicle Measurement

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.365-366.654 ◽

2013 ◽

Vol 365-366 ◽

pp. 654-657

Author(s):

Xue Dong Xie ◽

Wei Ling Zhao

Keyword(s):

Measurement System ◽

Reference Point ◽

High Speed ◽

Three Dimensional ◽

High Accuracy ◽

Actual Measurement ◽

Optical Scanning ◽

Optical Scanner ◽

Actual Use ◽

Multiple Scan

ATOS three-dimensional optical scanner is one of the most advanced technologically three-dimensional optical scanning devices. It can automatically put together the multiple scan view image by the reference point of the measurement system, with high accuracy, high speed Etc. It is widely used in automobiles. The paper combines with the experience in vehicle measurements, analysis the error cause in the actual use, points out ways to reduce or eliminate error. It has the great application value to actual measurement.

Download Full-text

Deep Convolutional Sequence Approach Towards Real-Time Intelligent Optical Scanning

International Journal of Computer Vision and Image Processing ◽

10.4018/ijcvip.2021100105 ◽

2021 ◽

Vol 11 (4) ◽

pp. 63-76

Author(s):

Mansi Mahendru ◽

Sanjay Kumar Dubey ◽

Divya Gaur

Keyword(s):

Real Time ◽

High Speed ◽

Scientific Work ◽

Learning Approaches ◽

Optical Scanning ◽

Optical Scanner ◽

Video Frames ◽

Visual Text ◽

Public Datasets ◽

Vision Application

Visual text recognition is the most dynamic computer vision application due to its rising demand in several applications like crime scene detection, assisting blind people, digitizing, book scanning, etc. However, numerous research works were executed on static visuals having organized text and on captured video frames in the past. The key objective of this study is to develop the real-time intelligent optical scanner that will extract every sequence of text from high-speed video, noisy visual input, and offline handwritten script. The scientific work has been carried out with the combination of multiple deep learning approaches, namely EAST, CNN, and Bi-LSTM with CTC. The system is trained and tested on four public datasets (i.e., ICDAR 2015, SVT, Synth-Text, IAM-3.0) and measured on the basis of recall, precision, and f-measure. Based on the challenges, performance has been examined under three different categories, and the outcomes are optimistic and encouraging for future advancement.

Download Full-text

3-Dimensional optical scanning for body composition assessment: A 4-component model comparison of four commercially available scanners

Clinical Nutrition ◽

10.1016/j.clnu.2020.02.008 ◽

2020 ◽

Vol 39 (10) ◽

pp. 3160-3167 ◽

Cited By ~ 3

Author(s):

Grant M. Tinsley ◽

M. Lane Moore ◽

Marqui L. Benavides ◽

Jacob R. Dellinger ◽

Brian T. Adamson

Keyword(s):

Body Composition ◽

Model Comparison ◽

Component Model ◽

Body Composition Assessment ◽

3 Dimensional ◽

Optical Scanning

Download Full-text

Accuracy of Three-Dimensional (3D) Printed Dental Digital Models Generated with Three Types of Resin Polymers by Extra-Oral Optical Scanning

Journal of Clinical Medicine ◽

10.3390/jcm10091908 ◽

2021 ◽

Vol 10 (9) ◽

pp. 1908

Author(s):

Eugen S. Bud ◽

Vlad I. Bocanet ◽

Mircea H. Muntean ◽

Alexandru Vlasa ◽

Sorana M. Bucur ◽

...

Keyword(s):

3D Printing ◽

Three Dimensional ◽

Digital Impression ◽

Optical Scanning ◽

Optical Scanner ◽

Photosensitive Polymer ◽

3D Printed ◽

Clinical Purpose ◽

Post Hoc ◽

Conventional Impression

Digital impression devices are used alternatively to conventional impression techniques and materials. The aim of this study was to evaluate the precision of extraoral digitalization of three types of photosensitive resin polymers used for 3D printing with the aid of a digital extraoral optical scanner. The alignment of the scans was performed by a standard best-fit alignment. Trueness and precision were used to evaluate the models. The trueness was evaluated by using bias as a measure and the standard deviation was used to evaluate the precision. After assessing the normality of the distributions, an independent Kruskal–Wallis test was used to compare the trueness and precision across the material groups. The Mann–Whitney test was used as a post-hoc test for significant differences. The result of the analysis showed significant differences (U = 66, z = −2.337, p = 0.019) in trueness of mesiodistal distances. Upon visual inspection of the models, defects were noticed on two out of nine of the models printed with a photosensitive polymer. The defects were presented as cavities caused by air bubbles and were also reflected in the scans. Mean precision did not vary too much between these three photosensitive polymer resins, therefore, the selection of 3D printing materials should be based on the trueness and the required precision of the clinical purpose of the model.

Download Full-text

Novel polyp detection technology for colonoscopy: 3D optical scanner

Endoscopy International Open ◽

10.1055/a-1261-3349 ◽

2020 ◽

Vol 08 (11) ◽

pp. E1553-E1559

Author(s):

Hakki Refai ◽

Badia Koudsi ◽

Omar Yusef Kudsi

Keyword(s):

Ex Vivo ◽

Average Distance ◽

Point Clouds ◽

Scanning System ◽

Polyp Detection ◽

Optical Scanning ◽

Registration Errors ◽

Optical Scanner ◽

Detection Technology ◽

Physical Features

Abstract Background and study aims Fifty-eight percent of American adults aged 50 to 75 undergo colonoscopies. Multiple factors result in missed lesions, at a rate of approximately 20 %, potentially subjecting patients to colorectal cancer. We report on use of a miniaturized optical scanner and accompanying processing software capable of detecting, measuring, and locating polyps with sub-millimeter accuracy, all in real time. Materials and methods A prototype 3 D optical scanner was developed that fits within the dimensions of a standard endoscope. After calibration, the system was evaluated in an ex-vivo porcine colon model, using silicon-made polyps. Results The average distance between two adjacent points in the 3 D point cloud was 94 µm. The results demonstrate high-accuracy measurements and 3 D models while operating at short distances. The scanner detected 6 mm × 3 mm polyps in every trial and identified polyp location with 95-µm accuracy. Registration errors were less than 0.8 % between point clouds based on physical features. Conclusion We demonstrated that a novel 3 D optical scanning system improves the performance of colonoscopy procedures by using a combination of 3 D and 2 D optical scanning and fast, accurate software for extracting data and generating models. Further studies of the system are warranted.

Download Full-text