2-D forward optical scanner with glass microlens and isolation blocks using thermal reflow

Author(s):  
Sunghyun Yoo ◽  
Joo-Young Jin ◽  
Joon-Geun Ha ◽  
Chang-Hyeon Ji ◽  
Yong-Kweon Kim
2003 ◽  
Vol 21 (7) ◽  
pp. 1700-1708 ◽  
Author(s):  
H. Toshiyoshi ◽  
Guo-Dung John Su ◽  
J. LaCosse ◽  
M.C. Wu

2012 ◽  
Vol 132 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Satoshi Maruyama ◽  
Muneki Nakada ◽  
Makoto Mita ◽  
Takuya Takahashi ◽  
Hiroyuki Fujita ◽  
...  

1982 ◽  
Vol 11 (1) ◽  
pp. 18-22
Author(s):  
B. K. Roy ◽  
P. N. Puntambekar ◽  
D. Sen

2021 ◽  
Vol 11 (9) ◽  
pp. 3933
Author(s):  
Chol-Gwan Han ◽  
Young-Bum Park ◽  
June-Sung Shim ◽  
Jong-Eun Kim

Improvements in computer-aided design/computer-aided manufacturing technologies have led to multiple attempts being made to simplify and improve the workflow of prosthesis fabrication for completely edentulous patients. However, most attempts still involve the conventional methods of impression-making and recording the maxillomandibular relationships using alginate, rubber impression materials, and wax materials. In the case of a completely edentulous arch, the presence of movable tissues and the absence of stable landmarks make it difficult to perform direct digitization using an intraoral scanner and to digitally determine the vertical dimension. In the alternative technique described herein, data are obtained by scanning a template such as the patient’s existing old dentures and jaw movement data using target materials and an optical scanner, and an appropriate maxillomandibular relationship that has the desired restorative space is determined on the basis of the obtained trajectory of mandibular movements while opening and closing the mouth. After designing dentures on the basis of the newly established maxillomandibular relationships and performing a try-in process, the final dentures can be manufactured. This alternative technique can reduce the need for multiple visits and complex procedures, improving the workflow for fabricating prostheses with the correct maxillomandibular relationships for individual patients.


Plant Root ◽  
2008 ◽  
Vol 2 ◽  
pp. 14-18 ◽  
Author(s):  
Masako Dannoura ◽  
Yuji Kominami ◽  
Hiroyuki Oguma ◽  
Yoichi Kanazawa

2001 ◽  
Vol 10 (2) ◽  
pp. 205-214 ◽  
Author(s):  
H. Toshiyoshi ◽  
W. Piyawattanametha ◽  
Cheng-Ta Chan ◽  
M.C. Wu

Author(s):  
Markus J. Bookland ◽  
Edward S. Ahn ◽  
Petronella Stoltz ◽  
Jonathan E. Martin

OBJECTIVE The authors sought to evaluate the accuracy of a novel telehealth-compatible diagnostic software system for identifying craniosynostosis within a newborn (< 1 year old) population. Agreement with gold standard craniometric diagnostics was also assessed. METHODS Cranial shape classification software accuracy was compared to that of blinded craniofacial specialists using a data set of open-source (n = 40) and retrospectively collected newborn orthogonal top-down cranial images, with or without additional facial views (n = 339), culled between April 1, 2008, and February 29, 2020. Based on image quality, midface visibility, and visibility of the cranial equator, 351 image sets were deemed acceptable. Accuracy, sensitivity, and specificity were calculated for the software versus specialist classification. Software agreement with optical craniometrics was assessed with intraclass correlation coefficients. RESULTS The cranial shape classification software had an accuracy of 93.3% (95% CI 86.8–98.8; p < 0.001), with a sensitivity of 92.0% and specificity of 94.3%. Intraclass correlation coefficients for measurements of the cephalic index and cranial vault asymmetry index compared to optical measurements were 0.95 (95% CI 0.84–0.98; p < 0.001) and 0.67 (95% CI 0.24–0.88; p = 0.003), respectively. CONCLUSIONS These results support the use of image processing–based neonatal cranial deformity classification software for remote screening of nonsyndromic craniosynostosis in a newborn population and as a substitute for optical scanner– or CT-based craniometrics. This work has implications that suggest the potential for the development of software for a mobile platform that would allow for screening by telemedicine or in a primary care setting.


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