{"title":"Streamlined medical imaging network transfer","authors":"I. Prabhu, R. Aparna","doi":"10.1109/COMSNETS.2016.7439994","DOIUrl":null,"url":null,"abstract":"In medical imaging, the speed and reliability with which the data is transferred is crucial since it is life-critical. Data transfer should be robust to withstand bottlenecks so that images can be transferred reliably. This paper proposes a better approach to streamline the medical image transfer and to improve transfer performance across a DICOM network. Our study indicated that the performance of medical image transfer is lowered because of waiting for the responses and this delay attributed to 25-60 percent of total transfer time. The scope of this paper is to propose an approach to overcome the delay and to improve the performance of the medical image transfer.","PeriodicalId":185861,"journal":{"name":"2016 8th International Conference on Communication Systems and Networks (COMSNETS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 8th International Conference on Communication Systems and Networks (COMSNETS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMSNETS.2016.7439994","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In medical imaging, the speed and reliability with which the data is transferred is crucial since it is life-critical. Data transfer should be robust to withstand bottlenecks so that images can be transferred reliably. This paper proposes a better approach to streamline the medical image transfer and to improve transfer performance across a DICOM network. Our study indicated that the performance of medical image transfer is lowered because of waiting for the responses and this delay attributed to 25-60 percent of total transfer time. The scope of this paper is to propose an approach to overcome the delay and to improve the performance of the medical image transfer.