{"title":"A multimedia-editor for making findings in radiology","authors":"L. Vorwerk, C. Meinel","doi":"10.1109/CBMS.2000.856917","DOIUrl":"https://doi.org/10.1109/CBMS.2000.856917","url":null,"abstract":"Describes the development of a multimedia editor for radiology which allows one to load, store and work with radiological reports. These reports conform to the DICOM standard by using the 'structured reporting' supplement of DICOM. The user interface of the editor is implemented in Java. A DICOM toolkit is used to implement the structure of the reports. The toolkit is implemented in the programming languages C and C++ and can be compiled on the operating systems Linux, Windows NT/9x and Solaris. The programming languages used for the implementation of the user interface and for the construction of DICOM-conforming reports are connected via the Java Native Interface (JNI). The possibility to record spoken language or noises, to visualize DICOM images and to edit natural text is also provided.","PeriodicalId":189930,"journal":{"name":"Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129722456","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}
{"title":"Generalized Feldkamp image reconstruction from equiangular cone-beam projection data","authors":"Ben Wang, Hong Liu, Ge Wang","doi":"10.1109/CBMS.2000.856889","DOIUrl":"https://doi.org/10.1109/CBMS.2000.856889","url":null,"abstract":"The cone-beam approach for image reconstruction is attracting increasing attention in various applications, especially medical imaging. The traditional practical cone-beam reconstruction method, the Feldkamp algorithm, was previously (L.A. Feldkamp et al., 1984) generalized to the case of spiral/helical scanning loci with equispatial cone-beam projection data. In this paper, we formulated the generalized Feldkamp algorithm in the case of equiangular cone-beam projection data. Because medical multi-slice/cone-beam CT scanners typically use equiangular projection data, our new formula may be useful in the area of medical X-ray imaging.","PeriodicalId":189930,"journal":{"name":"Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121250343","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}
{"title":"Internet-orientated medical information system for DICOM-data transfer, visualization and revision","authors":"S. Khludov, L. Vorwerk, C. Meinel","doi":"10.1109/CBMS.2000.856916","DOIUrl":"https://doi.org/10.1109/CBMS.2000.856916","url":null,"abstract":"Modern high-quality medicine would be inconceivable without computer and communication technology. A physician can manage an enormous stream of data (especially images) only by using computerized information systems. That's why telemedicine applications are widely accepted in radiology. High standards for patient health care cannot be maintained without the introduction of modern radiological information systems (RISs) and PACS. This paper introduces a new intranet/Internet-oriented RIS for the transmission, visualization and processing of medical images, which can be used in hospitals and in doctor's offices.","PeriodicalId":189930,"journal":{"name":"Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116260244","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}
Brad Grinstead, H. Sari-Sarraf, S. Mitra, S. Gleason
{"title":"Content-based compression of mammograms for telecommunication and archiving","authors":"Brad Grinstead, H. Sari-Sarraf, S. Mitra, S. Gleason","doi":"10.1109/CBMS.2000.856871","DOIUrl":"https://doi.org/10.1109/CBMS.2000.856871","url":null,"abstract":"The concept of content-based image compression (CBIC) has far-reaching effects in the areas of archiving and telecommunications. This paper presents some pilot-study results from the application of CBIC to mammography. Unlike traditional compression approaches, CBIC first analyzes the content of the data before the compression takes place. In this approach, prior to compression, the data is pre-processed and is segmented into two non-overlapping regions: (1) focus-of-attention regions (FARs) that contain the \"important\" segments of the data, and (2) background regions. Subsequently, the former regions are compressed using a lossless compression technique (maintaining fidelity), while the latter regions are compressed with the aid of a lossy technique (attaining large reductions in data). The intended result is an optimal balance between data reduction and data fidelity. In this case, compression ratios 5-6 times greater than that of lossless compression alone can be reached while preserving the important information.","PeriodicalId":189930,"journal":{"name":"Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000","volume":"140 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116499599","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}
K. McEnery, C. Suitor, Stan Hildebrand, Rebecca L. Downs
{"title":"Design considerations for advanced, clinically integrated, radiologist digital dictation system","authors":"K. McEnery, C. Suitor, Stan Hildebrand, Rebecca L. Downs","doi":"10.1109/CBMS.2000.856904","DOIUrl":"https://doi.org/10.1109/CBMS.2000.856904","url":null,"abstract":"Radiologists require efficient access to clinical information in order to increase the clinical accuracy of their interpretations. Any system developed to access clinical information must do so efficiently while dozens of examinations await interpretation. radStation is a clinical display/report dictation system that has been designed not only to provide an effective interface to unrelated legacy databases but also to effectively integrate into the existing dictation workflow of radiologists. The three-tiered system architecture provides for efficient access to existing legacy databases and allows for future expansion with additional middle-tier (business rules) servers that are able to maintain robust interfaces to legacy databases (the database tier). However, the system architecture is of little concern to a practicing radiologist when experiencing robust system response. The system requires almost no training to master and is well-accepted by a very busy oncological radiology specialty practice.","PeriodicalId":189930,"journal":{"name":"Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124020782","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}
{"title":"Using Bayesian networks for diagnostic reasoning in penetrating injury assessment","authors":"O. Ogunyemi, J. Clarke, B. Webber","doi":"10.1109/CBMS.2000.856888","DOIUrl":"https://doi.org/10.1109/CBMS.2000.856888","url":null,"abstract":"Describes a method for diagnostic reasoning under uncertainty that is used in TraumaSCAN, a computer-based system for assessing penetrating trauma. Uncertainty in assessing penetrating injuries arises from two different sources: the actual extent of damage associated with a particular injury mechanism may not be easily discernable, and there may be incomplete information about patient findings (signs, symptoms and test results) which provide clues about the extent of the injury. Bayesian networks are used in TraumaSCAN for diagnostic reasoning because they provide a mathematically sound means of making probabilistic inferences about the injury in the face of uncertainty. We also present a comparison of TraumaSCAN's results in assessing 26 actual gunshot wound cases with those of TraumAID, a validated rule-based expert system for the diagnosis and treatment of penetrating trauma.","PeriodicalId":189930,"journal":{"name":"Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126817344","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}
Jiabin Xie, Adwait Nerlikar, J. Glover, B. McKinley
{"title":"An ICU protocol development and management system","authors":"Jiabin Xie, Adwait Nerlikar, J. Glover, B. McKinley","doi":"10.1109/CBMS.2000.856872","DOIUrl":"https://doi.org/10.1109/CBMS.2000.856872","url":null,"abstract":"Patient care is commonly managed by clinicians using general guidelines or specific protocols. Acute, severe illness may require care in an intensive care unit (ICU), with many aspects of care managed concurrently. Variation of aspects of care among patients, clinicians, ICUs and institutions is well-known, and is due to a lack of standardization in clinical decision making and the inability to implement detailed, patient-responsive protocols. Automation of protocols for specific aspects of care using computing technology and medical informatics/knowledge engineering principles offers a consistent, systematic way to implement a protocol by prompting bedside clinicians in a timely manner monitoring a patient's responses to therapeutic interventions, and monitoring the decision logic used. This paper describes a new generic system for the design and implementation of computerized protocols.","PeriodicalId":189930,"journal":{"name":"Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130325836","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}
{"title":"Molding transactional data into decision making information in the medical industry: the case of Laberman General Hospital","authors":"L. Dickinson, I. Ilovici","doi":"10.1109/CBMS.2000.856909","DOIUrl":"https://doi.org/10.1109/CBMS.2000.856909","url":null,"abstract":"This case is about constructing a data warehouse model for a hospital. The Chief Executive Officer (CEO) at Laberman General Hospital is facing a combination of business analysis and information sharing issues. The hospital is experiencing diminishing profitability and market share. Hospital management cannot analyze the problems and make effective decisions because of their inability to combine data from independent business functions. As a condition of her contract renewal and continued operation of the hospital, the Board of Directors has given the (CEO) one year to reverse these trends. The CEO has decided to focus, among other areas, on marketing. She needs a combination of data from the patient, pharmacy, radiology, and pathology databases. The Chief Information Officer (CIO) has 90 days to ascertain the information needed by the CEO's Executive Staff, and to build a data warehouse solution. The case describes strategic marketing decisions in the hospital industry, building the data warehouse logical model, and matching database queries to decisions being made by executive level management.","PeriodicalId":189930,"journal":{"name":"Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131185815","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}
{"title":"Detection and delineation of multiple sclerosis lesions in gadolinium-enhanced 3D T1-weighted MRI data","authors":"R. He, P. Narayana","doi":"10.1109/CBMS.2000.856900","DOIUrl":"https://doi.org/10.1109/CBMS.2000.856900","url":null,"abstract":"An automatic method for detecting and delineating Gd-enhanced lesions on T1-weighted magnetic resonance images in multiple sclerosis (MS) brains is described. In order to detect and limit the enhancements to the region defined by the brain mask, a combination of thresholding and mathematical morphological operations was implemented. A 3D connected component labeling algorithm is used for producing both the brain mask and labeling the enhanced lesions. False positives that arise from the enhancing vasculature and structures that do not exhibit a blood-brain barrier (BBB) were automatically detected and eliminated by spatially registering the Tl-weighted and the dual-echo affirmative images. Lesion enhancements were delineated using fuzzy connectedness. This technique is evaluated on MS patients with excellent results.","PeriodicalId":189930,"journal":{"name":"Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133379990","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}
{"title":"A multigrid approach to the Gibbsian classification of mammograms","authors":"I. Greenshields, Zhihong Yang","doi":"10.1109/CBMS.2000.856895","DOIUrl":"https://doi.org/10.1109/CBMS.2000.856895","url":null,"abstract":"Both formal and informal locally-adaptive cooling schedules have been suggested to improve the convergence rate of Gibbs (and Gibbs-like) classification algorithms. One strategy involves maintaining a global cooling schedule/visiting schedule which is turned on or off (or forcing extremal temperature values) at a site depending on the interiteration behaviour of the classifier. This (0,1)-valued behaviour of the cooling schedule is parameterized relative to the site. We give a preliminary discussion of a method of assigning such parameters based on a multigrid decomposition of the image. The application domain is mammography.","PeriodicalId":189930,"journal":{"name":"Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123541322","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}