scholarly journals The Application and Accuracy of Feature Matching on Automated Cephalometric Superimposition

2019 ◽  
Author(s):  
Yiran Jiang ◽  
Guangying Song ◽  
Xiaonan Yu ◽  
Yuanbo Dou ◽  
Qingfeng Li ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Feature Matching ◽  
Academic Research ◽  
Cranial Base ◽  
Matching Method ◽  
Automated Method ◽  
Computer Aided ◽  
Registration Number ◽  
Pre Treatment ◽  
Maxilla And Mandible

Abstract Background: The aim of this study was to establish a computer-aided automated method for cephalometric superimposition and evaluate the accuracy of this method based on free-hand tracing. Methods: 28 pairs of pre-treatment (T1) and post-treatment (T2) cephalograms were selected. Structural superimpositions of the cranial base, maxilla and mandible were independently completed by three operators performing traditional hand tracing methods and by computerized automation using the feature matching method. To quantitatively evaluate the differences between the two methods, the manually superimposed patterns were digitized. In addition to registering automated and manual superimposition to digital T1 films, landmark distances between corresponding automated and manual T2 cephalometric landmarks were measured, and differences in manual superimposition among the operators were calculated. Results: The T2 landmark differences in hand tracing between the operators ranged from 0.61 mm to 1.65 mm for the three types of superimposition. There were no significant differences in accuracy between manual and automated superimposition (p > 0.05). Conclusions: Computer-aided cephalometric superimposition provides comparably accurate results to those of traditional hand tracing and will provide a powerful tool for academic research in the era of digital cephalograms and big data. Trial registration: The clinical trial has been registered in April 1st 2016, the registration number is ChiCTR1800017694, URL is: http://www.chictr.org.cn/showproj.aspx?proj=29144

scholarly journals The Application and Accuracy of Feature Matching on Automated Cephalometric Superimposition

2020 ◽  
Author(s):  
Yiran Jiang ◽  
Guangying Song ◽  
Xiaonan Yu ◽  
Yuanbo Dou ◽  
Qingfeng Li ◽  
...  
Keyword(s):  
Feature Matching ◽  
Academic Research ◽  
Cranial Base ◽  
Matching Accuracy ◽  
Matching Algorithm ◽  
Automated Method ◽  
Computer Aided ◽  
Registration Number ◽  
Pre Treatment ◽  
Maxilla And Mandible

Abstract Background: The aim of this study was to establish a computer-aided automated method for cephalometric superimposition and to evaluate the accuracy of this method based on free-hand tracing. Methods: Twenty-eight pairs of pre-treatment (T 1 ) and post-treatment (T 2 ) cephalograms were selected. Structural superimpositions of the cranial base, maxilla and mandible were independently completed by three operators performing traditional hand tracing methods and by computerized automation using the feature matching algorithm. To quantitatively evaluate the differences between the two methods, the hand superimposed patterns were digitized. After automated and hand superimposition of T 2 cephalograms to T 1 cephalometric templates, landmark distances between paired automated and hand T 2 cephalometric landmarks were measured. Differences in hand superimposition among the operators were also calculated. Results: The T 2 landmark differences in hand tracing between the operators ranged from 0.61 mm to 1.65 mm for the three types of superimposition. There were no significant differences in accuracy between hand and automated superimposition (p > 0.05). Conclusions: Computer-aided cephalometric superimposition provides comparably accurate results to those of traditional hand tracing and will provide a powerful tool for academic research. Trial registration: The clinical trial was registered on April 1 st 2016. The registration number is ChiCTR1800017694, and URL is: http://www.chictr.org.cn/showproj.aspx?proj=29144 Keywords: Digital imaging/radiology, Orthodontic(s), Cephalometric superimposition, Feature Matching, Accuracy

scholarly journals The Application and Accuracy of Feature Matching on Automated Cephalometric Superimposition

2020 ◽  
Author(s):  
Yiran Jiang ◽  
Guangying Song ◽  
Xiaonan Yu ◽  
Yuanbo Dou ◽  
Qingfeng Li ◽  
...  
Keyword(s):  
Digital Imaging ◽  
Feature Matching ◽  
Academic Research ◽  
Cranial Base ◽  
Matching Accuracy ◽  
Matching Algorithm ◽  
Automated Method ◽  
Computer Aided ◽  
Pre Treatment ◽  
Maxilla And Mandible

Abstract Background: The aim of this study was to establish a computer-aided automated method for cephalometric superimposition and to evaluate the accuracy of this method based on free-hand tracing. Methods: Twenty-eight pairs of pre-treatment (T1 ) and post-treatment (T2 ) cephalograms were selected. Structural superimpositions of the cranial base, maxilla and mandible were independently completed by three operators performing traditional hand tracing methods and by computerized automation using the feature matching algorithm. To quantitatively evaluate the differences between the two methods, the hand superimposed patterns were digitized. After automated and hand superimposition of T2 cephalograms to T1 cephalometric templates, landmark distances between paired automated and hand T2 cephalometric landmarks were measured. Differences in hand superimposition among the operators were also calculated. Results: The T2 landmark differences in hand tracing between the operators ranged from 0.61 mm to 1.65 mm for the three types of superimposition. There were no significant differences in accuracy between hand and automated superimposition (p > 0.05). Conclusions: Computer-aided cephalometric superimposition provides comparably accurate results to those of traditional hand tracing and will provide a powerful tool for academic research. Keywords: Digital imaging/radiology, Orthodontic(s), Cephalometric superimposition, Feature Matching, Accuracy

scholarly journals Effect of cardiosphere-derived cells on segmental myocardial function after myocardial infarction: ALLSTAR randomised clinical trial

Open Heart ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. e001614
Author(s):  
Mohammad R Ostovaneh ◽  
Raj R Makkar ◽  
Bharath Ambale-Venkatesh ◽  
Deborah Ascheim ◽  
Tarun Chakravarty ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Clinical Trial ◽  
Myocardial Function ◽  
Randomised Clinical Trial ◽  
Scar Tissue ◽  
Left Ventricular ◽  
Lv Function ◽  
Cardiac Events ◽  
Lv Dysfunction ◽  
Registration Number

BackgroundMost cell therapy trials failed to show an improvement in global left ventricular (LV) function measures after myocardial infarction (MI). Myocardial segments are heterogeneously impacted by MI. Global LV function indices are not able to detect the small treatment effects on segmental myocardial function which may have prognostic implications for cardiac events. We aimed to test the efficacy of allogeneic cardiosphere-derived cells (CDCs) for improving regional myocardial function and contractility.MethodsIn this exploratory analysis of a randomised clinical trial, 142 patients with post-MI with LVEF <45% and 15% or greater LV scar size were randomised in 2:1 ratio to receive intracoronary infusion of allogenic CDCs or placebo, respectively. Change in segmental myocardial circumferential strain (Ecc) by MRI from baseline to 6 months was compared between CDCs and placebo groups.ResultsIn total, 124 patients completed the 6-month follow-up (mean (SD) age 54.3 (10.8) and 108 (87.1%) men). Segmental Ecc improvement was significantly greater in patients receiving CDC (−0.5% (4.0)) compared with placebo (0.2% (3.7), p=0.05). The greatest benefit for improvement in segmental Ecc was observed in segments containing scar tissue (change in segmental Ecc of −0.7% (3.5) in patients receiving CDC vs 0.04% (3.7) in the placebo group, p=0.04).ConclusionsIn patients with post-MI LV dysfunction, CDC administration resulted in improved segmental myocardial function. Our findings highlight the importance of segmental myocardial function indices as an endpoint in future clinical trials of patients with post-MI.Trial registration numberNCT01458405.

scholarly journals Assessment of automated clinical trial recruitment and enrolment using patient-facing technology

2021 ◽  
Vol 28 (1) ◽  
pp. e100076
Author(s):  
Naomi S Bardach ◽  
Regina Lam ◽  
Carolyn B Jasik
Keyword(s):  
Clinical Trial ◽  
Patient Characteristics ◽  
Electronic Signature ◽  
Study Materials ◽  
Study Staff ◽  
Surgical Units ◽  
Study Implementation ◽  
Registration Number ◽  
Care Systems ◽  
Group Comparisons

ObjectiveInteractive patient care systems (IPCS) at the bedside are becoming increasingly common, but evidence is limited as to their potential for innovative clinical trial implementation. The objective of this study was to test the hypothesis that the IPCS could feasibly be used to automate recruitment and enrolment for a clinical trial.MethodsIn medical-surgical units, we used the IPCS to randomise, recruit and consent eligible subjects. For participants not interacting with IPCS study materials within 48 hours, study staff-initiated recruitment in-person. Eligible study population included all caregivers and any patients >6 years old admitted to medical-surgical units and oncology units September 2015 to January 2016. Outcomes: randomisation assessed using between-group comparisons of patient characteristics; recruitment success assessed by rates of consent; paperless implementation using successful acquisition of electronic signature and email address. We used χ2 analysis to assess success of randomisation and recruitment.ResultsRandomisation was successful (n=1012 randomised, p>0.05 for all between-group comparisons). For the subset of eligible, randomised patients who were recruited, IPCS-only recruitment (consented: 2.4% of n=213) was less successful than in-person recruitment (61.4% of n=87 eligible recruited, p<0.001). For those consenting (n=61), 96.7% provided an electronic signature and 68.9% provided email addresses.ConclusionsOur results suggest that as a tool at the bedside, the IPCS offers key efficiencies for study implementation, including randomisation and collecting e-consent and contact information, but does not offer recruitment efficiencies. Further research could assess the value that interactive technologies bring to recruitment when paired with in-person efforts, potentially focusing on more intensive user-interface testing for recruitment materials.Trial registration numberNCT02491190.

scholarly journals Protocol for a randomised clinical trial of multimodal postconcussion symptom treatment and recovery: the Concussion Essentials study

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e041458
Author(s):  
Vicki Anderson ◽  
Vanessa C Rausa ◽  
Nicholas Anderson ◽  
Georgia Parkin ◽  
Cathriona Clarke ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Randomised Clinical Trial ◽  
Normal Activity ◽  
Secondary Outcome ◽  
Open Label ◽  
Human Research Ethics ◽  
Postconcussive Symptoms ◽  
Study Results ◽  
Registration Number ◽  
Initial Injury

IntroductionWhile most children recover from a concussion shortly after injury, approximately 30% experience persistent postconcussive symptoms (pPCS) beyond 1-month postinjury. Existing research into the treatment of pPCS have evaluated unimodal approaches, despite evidence suggesting that pPCS likely represent an interaction across various symptom clusters. The primary aim of this study is to evaluate the effectiveness of a multimodal, symptom-tailored intervention to accelerate symptom recovery and increase the proportion of children with resolved symptoms at 3 months postconcussion.Methods and analysisIn this open-label, assessor-blinded, randomised clinical trial, children with concussion aged 8–18 years will be recruited from The Royal Children’s Hospital (The RCH) emergency department, or referred by a clinician, within 17 days of initial injury. Based on parent ratings of their child’s PCS at ~10 days postinjury, symptomatic children (≥2 symptoms at least 1-point above those endorsed preinjury) will undergo a baseline assessment at 3 weeks postinjury and randomised into either Concussion Essentials (CE, n=108), a multimodal, interdisciplinary delivered, symptom-tailored treatment involving physiotherapy, psychology and education, or usual care (UC, n=108) study arms. CE participants will receive 1 hour of intervention each week, for up to 8 weeks or until pPCS resolve. A postprogramme assessment will be conducted at 3 months postinjury for all participants. Effectiveness of the CE intervention will be determined by the proportion of participants for whom pPCS have resolved at the postprogramme assessment (primary outcome) relative to the UC group. Secondary outcome analyses will examine whether children receiving CE are more likely to demonstrate resolution of pPCS, earlier return to normal activity, higher quality of life and a lower rate of utilisation of health services, compared with the UC group.Ethics and disseminationEthics were approved by The RCH Human Research Ethics Committee (HREC: 37100). Parent, and for mature minors, participant consent, will be obtained prior to commencement of the trial. Study results will be disseminated at international conferences and international peer-reviewed journals.Trial registration numberACTRN12617000418370; pre-results.

scholarly journals Perspectives and experiences of people who were randomly assigned to wait-and-see approach in a gluteal tendinopathy trial: a qualitative follow-up study

BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e044934
Author(s):  
Melanie Louise Plinsinga ◽  
Rebecca Mellor ◽  
Jenny Setchell ◽  
Kelsie Ford ◽  
Leonard Lynch ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Corticosteroid Injection ◽  
Imaging Diagnosis ◽  
Parallel Group ◽  
Data Collection And Analysis ◽  
Gluteal Tendinopathy ◽  
Semistructured Interviews ◽  
Registration Number ◽  
Wait And See

ObjectiveTo explore participants’ perspectives on, and experiences of, being assigned to a wait-and-see arm of a gluteal tendinopathy trial.DesignDescriptive qualitative.SettingGeneral community in Brisbane and Melbourne, Australia.ParticipantsFifteen participants who had been randomly allocated to the wait-and-see group in a recent parallel group superiority clinical trial. That trial compared the wait-and-see approach to a physiotherapist-led education plus exercise approach, and an ultrasound-guided corticosteroid injection. The wait-and-see approach involved one physiotherapy session in which participants received reassurance, general advice and encouragement to stay active for the management of gluteal tendinopathy.Data collection and analysisSemistructured interviews were conducted by four interviewers in person or over the internet, audio recorded and transcribed verbatim. Transcripts were coded and data analysed using an inductive thematic approach.ResultsFive themes were extracted from the interview transcripts: (1) Feeling disenfranchised by being assigned to a wait-and-see approach; (2) the importance of having a clinical and imaging diagnosis during screening for inclusion into the clinical trial; (3) feelings regarding the effectiveness of the approach; (4) the convenient and easy to follow nature of the wait-and-see approach and (5) the connotation of wait-and-see not always being perceived as an intervention.ConclusionsParticipants found the wait-and-see approach convenient and easy to follow, yet almost always felt disenfranchised that nothing was being done. Participants highlighted the importance of a definite clinical and imaging diagnosis.Trial registration numberACTRN12612001126808; Post-results.

Identification of the Hook on Investment Casting Shell Line Based on Machine Vision

2012 ◽  
Vol 220-223 ◽  
pp. 1356-1361
Author(s):  
Xi Jie Tian ◽  
Jing Yu ◽  
Chang Chun Li
Keyword(s):  
Machine Vision ◽  
Investment Casting ◽  
Hough Transform ◽  
Image Matching ◽  
Feature Matching ◽  
Image Acquisition ◽  
Target Range ◽  
Target Area ◽  
Matching Method ◽  
Vertical Projection

In this paper, the idea identify the hook on investment casting shell line based on machine vision has been proposed. According to the characteristic of the hook, we do the image acquisition and preprocessing, we adopt Hough transform to narrow the target range, and find the target area based on the method combining the level projection and vertical projection, use feature matching method SIFT to do the image matching. Finally, we get the space information of the target area of the hook.

Implementation of Verification and Matching E-KTP with Faster R-CNN and ORB

2021 ◽  
Vol 5 (4) ◽  
pp. 783-793
Author(s):  
Muhammad Muttabi Hudaya ◽  
Siti Saadah ◽  
Hendy Irawan
Keyword(s):  
Image Matching ◽  
Nearest Neighbor ◽  
Feature Matching ◽  
Image Feature ◽  
Brute Force ◽  
K Nearest Neighbor ◽  
Matching Method ◽  
Average Precision ◽  
Detection Model ◽  
Matching Process

needs a solid validation that has verification and matching uploaded images. To solve this problem, this paper implementing a detection model using Faster R-CNN and a matching method using ORB (Oriented FAST and Rotated BRIEF) and KNN-BFM (K-Nearest Neighbor Brute Force Matcher). The goal of the implementations is to reach both an 80% mark of accuracy and prove matching using ORB only can be a replaced OCR technique. The implementation accuracy results in the detection model reach mAP (Mean Average Precision) of 94%. But, the matching process only achieves an accuracy of 43,46%. The matching process using only image feature matching underperforms the previous OCR technique but improves processing time from 4510ms to 60m). Image matching accuracy has proven to increase by using a high-quality dan high quantity dataset, extracting features on the important area of EKTP card images.

scholarly journals Comparison of anterior retraction and anchorage control between en masse retraction and two-step retraction: A randomized prospective clinical trial

2018 ◽  
Vol 89 (2) ◽  
pp. 190-199 ◽  
Author(s):  
Patricia Pigato Schneider ◽  
Luiz Gonzaga Gandini Júnior ◽  
André da Costa Monini ◽  
Ary dos Santos Pinto ◽  
Ki Beom Kim
Keyword(s):  
Clinical Trial ◽  
Treatment Group ◽  
Secondary Outcome ◽  
Space Closure ◽  
The Difference ◽  
Maxilla And Mandible ◽  
Anchorage Loss ◽  
Bimaxillary Protrusion ◽  
Best Fit ◽  
En Masse Retraction

ABSTRACT Objectives: The purpose of this two-arm parallel trial was to compare en masse (ER) and two-step retraction (TSR) during space closure. Materials and Methods: Forty-eight adult patients with bimaxillary protrusion who were planned for treatment with extraction of four first premolars were enrolled. All patients were randomly allocated in a 1:1 ratio to either the ER (n = 24) group or the TSR (n = 24) group. The main outcome was the amount of posterior anchorage loss in the molars and the retraction of the incisors between ER and TSR; the difference in incisor and molar inclination was a secondary outcome. Lateral cephalometric radiographs and oblique cephalometric radiographs at 45° were taken before retraction (T1) and after space closure (T2). Cephalograms were digitized and superimposed on the anatomic best fit of the maxilla and mandible by one operator who was blinded to the treatment group. Results: Neither incisor nor molar crown movements showed any significant differences between the ER and TSR. There were no significant differences in the tipping of incisors and molars between the two groups. Conclusions: No significant differences existed in the amount of retraction of incisors and anchorage loss of molars between ER and TSR. Changes in incisor and molar tipping were similar, with the crowns showing more movement than the apex.

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