2,743 research outputs found

    Role of Computer Technology in Changing Smile

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    In the ever changing complex society, where success has become a mantra for both young and old, facial appearance that includes smile, plays a pivotal role. Among many attractive components in a personโ€™s face, smile reflects the persona of an individual. In the present day next gen age, science in unison with technology and techniques which are rapidly getting ingrained into day to day dental practice, has changed the perception of healthy smile by more effective and less invasive approach. In this scenario, the onus lies on the dentist to give that perfectionist touch to a customised smile using computer aided software and hardware apparatus, and to avail the best state of the art material, equipment and techniques. Hence, it is imperative for us to understand and inculcate the role of modern cutting edge computer-aided technologies used in designing and changing the smile of an individual

    Dimensional Measurement for Dentistry

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    Three Dimensional Printing: Modern Medical Applications

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    3-D printing is an additive printing process based on inkjet printing principles. Using this technology, a variety of materials can be used to create a three-dimensional product. Currently this technology is expensive, however it is slowly becoming more affordable. 3-D printing has the potential to change the future of medical model production and prototyping, due to the beneficial products it can produce. The objective of this research study is to discover the technological advancements in 3-D printing that could greatly affect several aspects of the medical industry. The areas discussed include high-risk surgery, dentistry, and prosthetics. After conducting six interviews with medical professionals, it was discovered that 3-D printing is a viable technological source that all professionals are eager to use and implement into their medical line of work. 3-D printing is a revolutionary technology that has the possibility to positively affect the work of medical professionals, while enhancing the lives of others

    Comparison of digital scanning and polyvinyl siloxane impression techniques by DMD students : instructional efficiency and attitudes toward technology.

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    The aim of this research was compare the ability of dental students to learn an digital scanner (3M LAVA) and material-based (PVS) impression techniques and to determine attitudes and preferences towards each. D2 dental students (n=25) were recruited and instructed on the use of 3M LAVA and PVS techniques using three pedagogic methods: 1) video lecture (P1), 2) investigator-led demonstration (P2), and 3) independent clinical exercise (P3). The amount of time for each pedagogic method was measured, averaged (ยฑ s.d.) and compared using Wilcoxon Signed-Ranks tests. A pre- and post-test was administered assessing their attitudes towards both techniques using a Likert scale and compared using dependent t-tests. Instructional time for 3M LAVA was higher for each pedagogic method (P1; 15.95 vs.10.07 min, p=0.0000: P2; 8.68 vs. 4.51 min, p=0.000: P3; 20.37 vs.14.17, p=0.000). Prior to instruction, students were more familiar with the PVS techniques (3.96 vs. 1.95, p=.0000) and expected both to be similar in difficulty (3.52 and 3.84, p=.106). After instruction, PVS techniques were considered easier to perform than expected (4.08, p=.002) with no change in perceived difficulty for 3M LAVA (3.56, p=.106). 96% of participants expected 3M LAVA to become their primary impression technique in their career

    Principles of the magnetic resonance imaging movie method for articulatory movement : a review

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    Magnetic resonance imaging (MRI) has become a critical tool for dental examination. MRI has many advantages over radiographic examination methods, including the lack of a requirement for patient exposure and the ability to capture high-contrast images of various tissue and organ types. However, MRI also has several limitations, including long examination times and the existence of metallic or motion artifacts. A cardiac imaging method using cine sequences was developed in the 1990s. This technique allows for analysis of heart movement and functional blood flow. Moreover, this method has been applied in dentistry. Recent research involving 3T MRI has led to the achievement of a temporal resolution of <10 ms, surpassing the frame rate of typical video recording. The current review introduces the history and principles of the cine sequence method and its application to the oral and maxillofacial regions

    3์ข… ๊ตฌ๊ฐ•์Šค์บ๋„ˆ์˜ ์ •ํ™•๋„ ๋น„๊ต ํ‰๊ฐ€๋ฅผ ์œ„ํ•œ ๋น„์ž„์ƒ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ์น˜๊ณผ๋Œ€ํ•™ ์น˜์˜๊ณผํ•™๊ณผ, 2023. 2. ์ž„๋ฒ”์ˆœ.As a result of the technological advances, digitalization is being applied in various areas of dentistry. As intraoral scanners are widely used for digital impression with the advantage of being easy to use and comfortable for patients, many studies are being conducted. However, new intraoral scanners with various mechanisms and characteristics are constantly pouring out, and comparative evaluation for clinical application is continuously needed. The purpose of this study is to evaluate and verify the performance of the intraoral scanner through trueness and precision comparison. In this study, trueness and precision are evaluated for the accuracy comparison of intraoral scanners (ISO 5725). The object was designed with the CAD software (SolidworksTM 2016, 3D Systems SolidWorks Corp., Waltham, MA, USA) and the model was fabricated from the NextDent C&B MFH (3D Systems, Rockhill, USA) using the 3D printer (NextDent 5100, 3D Systems, Rockhill, SC, USA). Inlay, Onlay and three-unit Bridge were produced by representing deep and narrow forms frequently used in clinical practice, and the same resin model was used in all experimental groups. Three types of intraoral scanners were evaluated: TRIOS 4ยฎ (3 Shape, Copenhagen, Denmark), I500 (Medit Co, Seoul, South Korea), COMFORT+ (DDS, Seoul, South Korea), and five scan data were obtained by the same trained researcher for consistency. The acquired data was superimposed with the reference data by the 'best-fit alignment' of the Geomagic Control XTM (3D Systems, Rock Hill, SC, USA) software, and the tolerance range was set to ยฑ30ฮผm for 3D comparison to calculate RMS (Root Mean Square). For comparison, the one-way ANOVA and Bonferroni t-test were performed with a significance level of 0.05. For trueness, the RMS values in the Inlay (36.32ฮผm~37.22ฮผm) model increased in the order of TRIOS4, COMFORT+, and I500, but the trueness tended to decrease. In Onlay (35.98ฮผm~37.22ฮผm) and three-unit Bridge (52.24ฮผm~ 56.64ฮผm) models, RMS values increased in order of I500, TRIOS4, and COMFORT+, but the trueness tended to decrease. But no significance was found between each scanner group on the All pairwise multi-analysis Bonferroni t-test (p>0.05). For precision, there was a significant difference between TRIOS4 and I500, I500 and COMFORT+ in the Inlay model (respectively p=0.027, p<0.001). In the Onlay and three-unit Bridge models, a significant difference was found between COMFORT+ and the remaining two intraoral scanners (TRIOS4, I500). Trueness and precision are lowered if the optimal distance between the scanner and the model is not maintained due to the narrow and deep part such as a three-unit bridge or the insufficient space between the units. Thus, errors tend to accumulate when the scan range increases. This study provides accuracy information on intraoral scanners, contributing to decision making it offer a view on which intraoral scanners is appropriate for use.๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ตœ๊ทผ ์†Œ๊ฐœ๋œ ๊ตฌ๊ฐ•์Šค์บ๋„ˆ์˜ ์ง„์‹ค๋„ (trueness) ๋ฐ ์ •๋ฐ€๋„ (precision) ๋น„๊ต๋ฅผ ํ†ตํ•ด ์Šค์บ๋„ˆ ์ž์ฒด ์ •ํ™•๋„ (accuracy) ๋“ฑ์˜ ์„ฑ๋Šฅ์— ๋Œ€ํ•˜์—ฌ ํ‰๊ฐ€ํ•˜๊ณ  ๊ฒ€์ฆํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ISO 5725๋ฅผ ์ฐธ๊ณ ํ•˜์—ฌ ๊ตฌ๊ฐ•์Šค์บ๋„ˆ์˜ ์ •ํ™•๋„ ๋น„๊ต๋ฅผ ์œ„ํ•ด ์ง„์‹ค๋„ ๋ฐ ์ •๋ฐ€๋„๋ฅผ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ์ง„์‹ค๋„๋Š” ๋ชจ๋ธ์Šค์บ๋„ˆ๋กœ ์ธก์ •ํ•œ ์ฐธ์กฐ ๋ฐ์ดํ„ฐ์— ๋Œ€ํ•˜์—ฌ ๊ตฌ๊ฐ•์Šค์บ๋„ˆ๋กœ ์ธก์ •ํ•œ ๋น„๊ต ๋ฐ์ดํ„ฐ ๊ฐ„์˜ ์ฐจ์ด๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š” ๊ฐ’์ด๋ฉฐ, ์ •๋ฐ€๋„๋Š” 3 ์ข…๋ฅ˜์˜ ๊ตฌ๊ฐ•์Šค์บ๋„ˆ๋ฅผ ์ด์šฉํ•ด ๋ฐ˜๋ณตํ•˜์—ฌ ์–ป์€ ๋ฐ์ดํ„ฐ๋ฅผ ์„œ๋กœ ์ค‘์ฒฉํ•˜์—ฌ ์–ป์€ ์˜ค์ฐจ ๊ฐ’์ด๋‹ค. CAD ์†Œํ”„ํŠธ์›จ์–ด์ธ Solidworks 2016TM (Dassault Systรจmes SolidWorks Corp., Waltham, MA, USA) ์œผ๋กœ ๋ชจ๋ธ์„ ์„ค๊ณ„ํ•˜์˜€๊ณ , NextDent C&B MFH (3D Systems, RockHill, SC, USA) 3D ํ”„๋ฆฐํŒ… ๋ ˆ์ง„์œผ๋กœ NextDent 5100 (3D Systems, RockHill, SC, USA) 3D ํ”„๋ฆฐํ„ฐ๋ฅผ ์ด์šฉํ•˜์—ฌ ๋ชจ๋ธ๋กœ ์ œ์ž‘ํ•˜์˜€๋‹ค. ์ž„์ƒ์—์„œ ์ž์ฃผ ์“ฐ์ด๋Š” ๊นŠ๊ณ  ์ข์€ ํ˜•ํƒœ ๋“ฑ์„ ์žฌํ˜„ํ•˜์—ฌ ์ธ๋ ˆ์ด, ์˜จ๋ ˆ์ด ๋ฐ 3๋ณธ-๋ธŒ๋ฆฟ์ง€ ๋ชจ๋ธ์„ ์ œ์ž‘ํ•˜์˜€์œผ๋ฉฐ, ๋ชจ๋“  ์‹คํ—˜๊ตฐ์—์„œ ๋™์ผํ•œ ๋ ˆ์ง„ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ์ œํ’ˆ ๋น„๊ต ํ‰๊ฐ€์— ์šฉ์ดํ•˜์˜€๋‹ค. ๋˜ํ•œ, ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” TRIOS4 (3 Shape, Copenhagen, Denmark), I500 (Medit Co, Seoul, South Korea), COMFORT+ (DDS, Seoul, South Korea) 3๊ฐ€์ง€ ์ข…๋ฅ˜์˜ ๊ตฌ๊ฐ•์Šค์บ๋„ˆ๋ฅผ ํ‰๊ฐ€ํ•˜์˜€๋Š”๋ฐ, ์ผ๊ด€์„ฑ์„ ์œ„ํ•ด ์ˆ™๋ จ๋œ ๋™์ผํ•œ ์—ฐ๊ตฌ์ž์— ์˜ํ•ด ๊ฐ๊ฐ 5๊ฐœ์˜ ์Šค์บ” ๋ฐ์ดํ„ฐ๋ฅผ ์ฑ„๋“ํ•˜์˜€๋‹ค. ์ฑ„๋“๋œ ๋ฐ์ดํ„ฐ๋Š” Geomagic Control XTM (3D Systems, RockHill, SC, USA) ์†Œํ”„ํŠธ์›จ์–ด์˜ ์ตœ์  ์ ํ•ฉ ์ค‘์ฒฉ๋ฒ•(๋ฒ ์ŠคํŠธ-ํ• ์ •๋ ฌ)์„ ํ†ตํ•ด ์ฐธ์กฐ ๋ฐ์ดํ„ฐ์™€ ์ค‘์ฒฉํ•˜์˜€๊ณ , 3D ๋น„๊ต ์‹œ ํ—ˆ์šฉ๋ฒ”์œ„๋Š” ยฑ30ฮผm์œผ๋กœ ์„ค์ •ํ•˜์—ฌ RMS (Root Mean Square) ๋ฅผ ์‚ฐ์ถœํ•˜์˜€๋‹ค. ์ง„์‹ค๋„์™€ ์ •๋ฐ€๋„ ๋น„๊ต๋ฅผ ์œ„ํ•ด ์œ ์˜์ˆ˜์ค€ 0.05๋ฅผ ๊ธฐ์ค€์œผ๋กœ ์ผ์›๋ถ„์‚ฐ๋ถ„์„, Bonferroni test๋กœ ํ†ต๊ณ„ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ง„์‹ค๋„์˜ ๊ฒฝ์šฐ, ์ธ๋ ˆ์ด ๋ชจ๋ธ์—์„œ RMS ๊ฐ’์€ 36.32ฮผm~37.22ฮผm์— ๊ฑธ์ณ TRIOS4, COMFORT+, I500 ์ˆœ์œผ๋กœ ์ปค์ง€๋ฉฐ ์ง„์‹ค๋„๊ฐ€ ๋‚ฎ์•„์ง€๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์˜€๋‹ค. ์˜จ๋ ˆ์ด์™€ 3๋ณธ-๋ธŒ๋ฆฟ์ง€ ๋ชจ๋ธ์—์„œ RMS ๊ฐ’์€ ๊ฐ๊ฐ 35.98ฮผm~37.22ฮผm์™€ 52.24ฮผm~56.64ฮผm๋ฅผ ๋ณด์˜€์œผ๋‚˜, ์ผ์›๋ถ„์‚ฐ๋ถ„์„ ํ›„ ๋‹ค์ค‘๋น„๊ต๋ถ„์„ Bonferroni t-test์—์„œ ๋ชจ๋“  ๋ชจ๋ธ์— ์žˆ์–ด ๊ตฌ๊ฐ•์Šค์บ๋„ˆ ์ข…๋ฅ˜์— ๋”ฐ๋ฅธ ์ง„์‹ค๋„ ๊ฐ’์˜ ์œ ์˜ํ•œ ์ฐจ์ด๋Š” ๋ฐœ๊ฒฌ๋˜์ง€ ์•Š์•˜๋‹ค. ์ •๋ฐ€๋„์˜ ๊ฒฝ์šฐ, ์ธ๋ ˆ์ด ๋ชจ๋ธ์—์„œ TRIOS4์™€ I500, I500๊ณผ COMFORT+๊ฐ„ ์œ ์˜ํ•œ ์ฐจ์ด๊ฐ€ ์žˆ์—ˆ์œผ๋ฉฐ (๊ฐ๊ฐ p=0.027, p<0.001), ์˜จ๋ ˆ์ด์™€ 3๋ณธ-๋ธŒ๋ฆฟ์ง€ ๋ชจ๋ธ์—์„œ๋Š” COMFORT+์™€ ๋‚˜๋จธ์ง€ ๋‘ ์ข…๋ฅ˜์˜ ๊ตฌ๊ฐ•์Šค์บ๋„ˆ (TRIOS4, I500) ์‚ฌ์ด์—์„œ ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋ฐœ๊ฒฌํ•˜์˜€๋‹ค. ๊ฒฐ๋ก ์ ์œผ๋กœ, 3๋ณธ-๋ธŒ๋ฆฟ์ง€์™€ ๊ฐ™์ด ํญ์ด ์ข๊ณ  ๊นŠ์€ ๋ถ€๋ถ„์„ ํฌํ•จํ•˜๊ณ , ๊ตฌ์„ฑ ๋‹จ์œ„(unit) ์‚ฌ์ด ๊ฐ„๊ฒฉ์ด ์ข์•„ ์Šค์บ๋„ˆ์™€ ๋ชจ๋ธ ๊ฐ„์˜ ์ตœ์ ์˜ ๊ฑฐ๋ฆฌ๊ฐ€ ํ™•๋ณด๋˜์ง€ ์•Š์„ ๊ฒฝ์šฐ ์ง„์‹ค๋„์™€ ์ •๋ฐ€๋„๋Š” ๋‚ฎ์•„์ง„๋‹ค. ๋”ํ•˜์—ฌ, ์Šค์บ”์˜ ๋ฒ”์œ„๊ฐ€ ๋„“์–ด์งˆ์ˆ˜๋ก ์˜ค์ฐจ๋Š” ์ถ•์ ๋˜์–ด ์ •ํ™•๋„๋Š” ๊ฐ์†Œํ•˜๊ฒŒ ๋œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ๊ตฌ์ถ•๋œ ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ์ž„์ƒ์—์„œ ์ ์ ˆํ•œ ๊ตฌ๊ฐ•์Šค์บ๋„ˆ์˜ ์„ ํƒ ๋ฐ ์Šค์บ” ์ „๋žต์— ๋„์›€๋˜๊ณ ์ž ํ•˜์˜€๋‹ค.โ… . INTRODUCTION 1 โ…ก. MATERIALS AND METHODS 10 โ…ข. RESULTS 16 โ…ฃ. DISCUSSION 22 โ…ค. CONCLUSIONS 30์„

    Assessment of 3D Facial Scan Integration in 3D Digital Workflow Using Radiographic Markers and Iterative Closest Point Algorithm

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    Introduction: Integration of 3 dimensional (3D) facial scanning into digital smile design workflows has been made available in multiple commercially available systems. Limited data exists on the accuracy of facial scans and accuracy of various methods of merging facial scans with cone beam computed tomography (CBCT) scans.Objective: The purpose of this prospective clinical study was to evaluate the accuracy of 2 methods used to integrate soft tissue facial scans with CBCT scans. It would allow proposal of a novel approach for integrating a 3D facial scan using facial radio-opaque markers in a 3D digital workflow.Material and methods: Fifteen CBCT and 3D face scans were obtained from patients who were undergoing treatment at MUSoD. A DICOM with RO markers and 3 STL data files from the facial scans were obtained for each patient. These files were superimposed using Exocad software. Accuracy of superimpositions was evaluated by measuring distances between RO markers on DICOM and STL data. The obtained dataset was analyzed using the paired t-test. Results: The results showed that the mean values for the 6 subsets, merging through the ICP algorithm, were 1.47-2mm. However, when merged by RO markers, the mean valuewas 0.14mm. Using a paired t-test, the novel RO points method was statistically more accurate than ICP algorithm method (
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