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2021 13th Biomedical Engineering International Conference (BMEiCON)最新文献

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Metal Artifact Reduction based on 2D-Projection Correction for Dental Cone-beam CT Images 基于牙锥束CT二维投影校正的金属伪影减少
2021 13th Biomedical Engineering International Conference (BMEiCON) Pub Date : 2021-11-19 DOI: 10.1109/BMEiCON53485.2021.9745206
W. Narkbuakaew, S. Aootaphao, Chalinee Thanasupsombat, S. Thongvigitmanee
{"title":"Metal Artifact Reduction based on 2D-Projection Correction for Dental Cone-beam CT Images","authors":"W. Narkbuakaew, S. Aootaphao, Chalinee Thanasupsombat, S. Thongvigitmanee","doi":"10.1109/BMEiCON53485.2021.9745206","DOIUrl":"https://doi.org/10.1109/BMEiCON53485.2021.9745206","url":null,"abstract":"Metal artifacts causing dark and bright streaks normally appears in CT or CBCT data when a metallic object is embedded inside a field of view (FOV). These artifacts degrade image quality and distort anatomical structures. To solve this problem, we present a new metal artifact reduction (MAR) method. The proposed method was based on correction of 2D raw projection data and implemented as a plug-in of the reconstruction software. To accelerate computation, the proposed method used C++ and CUDA language to operate on graphic processing units (GPUs). We applied the proposed method to several dental CBCT data and executed the proposed method with full and short-scan CBCT reconstruction algorithms. The results showed that the proposed method obviously reduced the metal artifact, performed quickly, and collaborated well with both reconstruction algorithms.","PeriodicalId":380002,"journal":{"name":"2021 13th Biomedical Engineering International Conference (BMEiCON)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121360423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A comparative study of digital x-ray software and detectors 数字x射线软件与探测器的比较研究
2021 13th Biomedical Engineering International Conference (BMEiCON) Pub Date : 2021-11-19 DOI: 10.1109/BMEiCON53485.2021.9745226
Sakunrat Prompalit, Nattawut Sinsuebphon, Chalinee Thanasupsombat, S. Thongvigitmanee
{"title":"A comparative study of digital x-ray software and detectors","authors":"Sakunrat Prompalit, Nattawut Sinsuebphon, Chalinee Thanasupsombat, S. Thongvigitmanee","doi":"10.1109/BMEiCON53485.2021.9745226","DOIUrl":"https://doi.org/10.1109/BMEiCON53485.2021.9745226","url":null,"abstract":"This paper aimed to evaluate and compare the quality of phantom images captured from various combinations of software and detectors. The setups included alterations in two detector models, three acquisition techniques, and three software where one software has virtual grid processing. Three observers then graded images individually for high contrast resolution, low contrast-detailed detectability, and numbers of separable step wedges. A strong agreement among observers was confirmed using the Kendall coefficient of concordance (w). There are remarkable differences in image quality with software; however, the difference appears slightly among those detector models. Moreover, the virtual grid processed images show a noticeably better contrast resolution.","PeriodicalId":380002,"journal":{"name":"2021 13th Biomedical Engineering International Conference (BMEiCON)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116722918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Injury Identification Using Video Magnification 使用视频放大识别损伤
2021 13th Biomedical Engineering International Conference (BMEiCON) Pub Date : 2021-11-19 DOI: 10.1109/BMEiCON53485.2021.9745207
Mohamad Alansari, Wessam Shehieb, Sara Alansari, Ayman Tawfik
{"title":"Injury Identification Using Video Magnification","authors":"Mohamad Alansari, Wessam Shehieb, Sara Alansari, Ayman Tawfik","doi":"10.1109/BMEiCON53485.2021.9745207","DOIUrl":"https://doi.org/10.1109/BMEiCON53485.2021.9745207","url":null,"abstract":"Despite the rapid technological advancements and developments that are achieved today, correct injuries diagnose is still a regular occurring issue. There are many methods to diagnose and determine injuries, but these methods are expensive and time consuming. In this work, a portable smartphone-based video magnification (VM) technique and machine learning algorithm Haar Cascade are used to detect injuries. The main objective of this work is to develop a worldwide accessible application that detects injuries in real-time manner using video magnification of the blood’s colour circulated through the injured body part. The blood flow rate is used because since injuries directly cause an increase in blood flow rate. The proposed system was successfully implemented with accuracy of 95.07%.","PeriodicalId":380002,"journal":{"name":"2021 13th Biomedical Engineering International Conference (BMEiCON)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126757107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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