Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems最新文献

X-ray stereo imaging technique for disparity analysis 视差分析用x射线立体成像技术

Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems Pub Date : 1995-06-09 DOI: 10.1109/CBMS.1995.465452

H. Longbotham, H. Kothari, P. Yan

{"title":"X-ray stereo imaging technique for disparity analysis","authors":"H. Longbotham, H. Kothari, P. Yan","doi":"10.1109/CBMS.1995.465452","DOIUrl":"https://doi.org/10.1109/CBMS.1995.465452","url":null,"abstract":"Presents a simple, fast method for stereo matching of edges on several layers (depths). This method is applied to medical images and to the reverse engineering of printed circuit boards. Differences in images of real-world scenes may be induced by the relative displacement of two cameras. These differences are important because they contain encoded information that can allow a partial reconstruction of the 3D structure of the scene from 2D projections. When such differences occur between two images, the two images are said to have some disparity between them. The determination of disparity is called the correspondence problem. The interpretation of disparity into meaningful statements about the scene, such as specifications of depth, velocity, shape, and so forth, is a field of ongoing research. The primary goal of this paper is to address the correspondence problem using multiple views of a scene with objects at different (discrete) depths using a transparent medium (X-ray imaging). The secondary goal of this paper is to provide a new method of feature (edge) extraction. These features are used for stereo matching. This paper demonstrates the ability to match straight edges and provides an extension to curved edges.<<ETX>>","PeriodicalId":254366,"journal":{"name":"Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127208441","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: 1

Design and implementation of a digital teleultrasound system for real-time remote diagnosis 实时远程诊断数字远程超声系统的设计与实现

Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems Pub Date : 1995-06-09 DOI: 10.1109/CBMS.1995.465413

Johnie Sublett, B. J. Dempsey, A. Weaver

{"title":"Design and implementation of a digital teleultrasound system for real-time remote diagnosis","authors":"Johnie Sublett, B. J. Dempsey, A. Weaver","doi":"10.1109/CBMS.1995.465413","DOIUrl":"https://doi.org/10.1109/CBMS.1995.465413","url":null,"abstract":"Presents the design and implementation of a digital image capture and distribution system that supports remote ultrasound examinations and, in particular, real-time diagnosis for these examinations. The system was designed in conjunction with radiologists and staff in the Department of Radiology at the University of Virginia Hospital. Based on readily available microcomputer components, our teleultrasound system handles the acquisition, digitizing, and reliable transmission of still and moving images generated by an ultrasound machine. The digital images have a resolution of 640/spl times/480 with an 8-bit color plane, con be captured at rates up to 30 frames/sec, and are compressed and decompressed in real-time using specialized hardware. While scalable to communications networks of any transmission speed, initial deployment is envisioned for 1.5 Mbit/s T-1 leased lines. To achieve real-time still image distribution and to reduce the bandwidth necessary for motion video, the teleultrasound design employs lossy image compression based on the JPEG standard. The effects of JPEG compression on diagnostic quality are being studied in a separate signal detection study with the Department of Radiology at the University of Virginia.<<ETX>>","PeriodicalId":254366,"journal":{"name":"Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127533417","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: 35

VOXAR-all ATM distributed biomedical visualization: 1) local OC-3 linked workstation cluster, 2) remote OC-3 linked 40 GFLOPS Cray T3D MPP VOXAR-all ATM分布式生物医学可视化:1)本地OC-3连接工作站集群，2)远程OC-3连接40 GFLOPS Cray T3D MPP

Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems Pub Date : 1995-06-09 DOI: 10.1109/CBMS.1995.465420

W. Kraske, F. W. George

{"title":"VOXAR-all ATM distributed biomedical visualization: 1) local OC-3 linked workstation cluster, 2) remote OC-3 linked 40 GFLOPS Cray T3D MPP","authors":"W. Kraske, F. W. George","doi":"10.1109/CBMS.1995.465420","DOIUrl":"https://doi.org/10.1109/CBMS.1995.465420","url":null,"abstract":"Northrop Grumman Corp. (NGC), in collaboration with Cray Research and the University of Southern California (USC), has developed a distributed biomedical 3D visualization system. Currently, this system provides an extended AVS visualization capability to a cluster of SUN SPARC-20 workstations located at three locations across the USC Health Sciences Campus. A supercomputer complex of a HiPPI-connected Cray YMP vector architecture and a Cray T3D massively parallel processing (MPP) architecture provides a 40 GFLOPS processing capability to a remote cluster of three workstations via an ATM-switched SONET STS-3 link. The workstations run the AVS kernel locally while using remote procedure calls to run AVS modules on the Cray YMP. NGC modifies AVS modules, then spawns processes distributively across entire partitions of the Cray T3D using an NGC-Cray virtual shared memory protocol and underlying Cray T3D memory management hardware. Communication between the workstation cluster and the supercomputers is then provided with TCP/IP sockets over the SONET STS-3 link. This configuration provides an interactive real-time visualization capability to a remote AVS workstation environment operating on a physician's desktop. To provide a cohesive integration of this system, an object-relational database management system (O-RDBMS) is applied to provide representation of 3D spatial objects and relations of these objects to other applications. Management of network and mosaic resources, enabling access to the medical community, is under development with new extensions of the existing O-RDBMS.<<ETX>>","PeriodicalId":254366,"journal":{"name":"Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121453908","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

The use of reliability index /spl beta//sub s/ in a hospital safety system 可靠性指标/spl beta//sub s/在医院安全系统中的应用

Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems Pub Date : 1995-06-09 DOI: 10.1109/CBMS.1995.465450

Jen Chen, Kuo-Lane Chen

引用次数: 0

Kolmogorov complexity of finite sequences and recognition of different preictal EEG patterns 有限序列的Kolmogorov复杂度与不同预测脑电模式的识别

Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems Pub Date : 1995-06-09 DOI: 10.1109/CBMS.1995.465426

A. Petrosian

引用次数: 224

A study on the knowledge-based thinning algorithm that preserve the shape of the Korean character image 基于知识的韩文字符图像减薄算法研究

Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems Pub Date : 1995-06-09 DOI: 10.1109/CBMS.1995.465433

Kwak Yoonsik, Choi Kihyung

{"title":"A study on the knowledge-based thinning algorithm that preserve the shape of the Korean character image","authors":"Kwak Yoonsik, Choi Kihyung","doi":"10.1109/CBMS.1995.465433","DOIUrl":"https://doi.org/10.1109/CBMS.1995.465433","url":null,"abstract":"The thinning algorithm is a preprocessing technique that is an important part of image processing techniques. As the scope of its applied and related fields, such as character recognition systems, has been wider, so has its research been active. A Korean character consists of an initial phoneme, a medial vowel and a final phoneme. It has the aspect that, according to its placement, its size and shape can be changed. Because of this, and more specifically since all three elements should be combined or connected in some way to produce a character, there occurs a problem of the distorted shape in the curved and the connected areas. This problem is mainly due to the irregular thickness of an object pixel, and seriously affects the Korean character recognition system, which uses the curved and the connected shape information for its recognition variable. This article is on a knowledge-based thinning algorithm which deals with printed Korean character images. It is intended to reduce the distortion rate of a Korean character image to its minimum level. Furthermore, I believe that this algorithm not only helps to enhance the effectiveness of the character recognition system, but it can also be applied as a medical image preprocessing technique, e.g. in the computerization of the medical administration, which is being vigorously studied.<<ETX>>","PeriodicalId":254366,"journal":{"name":"Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115612465","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

PC-based medical data acquisition and analysis 基于pc的医疗数据采集与分析

Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems Pub Date : 1995-06-09 DOI: 10.1109/CBMS.1995.465435

Tom Green, M. Parten

引用次数: 3

PACS and teleradiology in the Department of Defense PACS和国防部的远程放射学

Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems Pub Date : 1995-06-09 DOI: 10.1109/CBMS.1995.465449

D. Lyche, J. Weiser, J. Romlein, F. Goeringer, S. Scotti

引用次数: 2

Use of neural networks for prediction of graft failure following liver transplantation 应用神经网络预测肝移植后移植物衰竭

Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems Pub Date : 1995-06-09 DOI: 10.1109/CBMS.1995.465437

S. Matis, H. Doyle, I. Marino, R. Mural, E. Uberbacher

{"title":"Use of neural networks for prediction of graft failure following liver transplantation","authors":"S. Matis, H. Doyle, I. Marino, R. Mural, E. Uberbacher","doi":"10.1109/CBMS.1995.465437","DOIUrl":"https://doi.org/10.1109/CBMS.1995.465437","url":null,"abstract":"Liver transplantation is a well-established therapeutic option for patients with end-stage liver disease. However, up to 20% of transplanted livers fail to have adequate function initially, and at least half of those will eventually fail. Accurate, early prediction of outcome may ameliorate this situation by encouraging retransplantation before the patient's condition becomes irreversible. In this study, clinical information was gathered prospectively for 295 patients who underwent liver transplantation at the University of Pittsburgh Medical Center, and was divided into sets. The feedforward, fully connected neural networks had 7 or 8 inputs, a single hidden layer consisting of 3 nodes and a single output node (failure=1, success=0). The networks were trained with data from a randomly selected subset of 240 patients while the remaining 55 patients made up the test set. The network was trained using a standard backpropagation algorithm. Training was assessed by testing the ability of the network to correctly predict the outcome of the 55 patients in the test set. The accuracy of prediction by the neural network improved each day and so by day 5, 98% of the graft survivors in the test set were correctly predicted while 88% of graft failures in the test set were correctly predicted.<<ETX>>","PeriodicalId":254366,"journal":{"name":"Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125400592","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: 18

Karhunen-Loeve-like expansions Karhunen-Loeve-like扩张

Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems Pub Date : 1995-06-09 DOI: 10.1109/CBMS.1995.465408

Ashot Matevosyan

引用次数: 1