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Biomedical subjects

C P Melo

Publications and source records attributed to C P Melo.

7 recordsLinked to original sources
PubMed1995

Hypermedia patient data retrieval and presentation through WWW.

WWW can be a helpful tool for PACS and HIS data retrieval and presentation. The use of gateways to access both text and hypermedia databases (images and video) enables fetched data to be presented in virtually any computer system. WWW browsers provide a very friendly interface and require little training to operate. This paper presents a prototype that uses a SQL gateway for accessing relational patient databases. The dataset used here include text data from reports of diagnostic procedures as well as pointers to the corresponding images. Images can be displayed by the browsers' viewers.

Computer Communication Networks↗
PubMed1993

Lossy compression in nuclear medicine images.

The goal of image compression is to reduce the amount of data needed to represent images. In medical applications, it is not desirable to lose any information and thus lossless compression methods are often used. However, medical imaging systems have intrinsic noise associated to it. The application of a lossy technique, which acts as a low pass filter, reduces the amount of data at a higher rate without any noticeable loss in the information contained in the images. We have compressed images of nuclear medicine using the discrete cosine transform algorithm. The decompressed images were considered reliable for visual inspection. Furthermore, a parameter was computed from these images and no discernible change was found from the results obtained using the original uncompressed images.

Algorithms↗
PubMed1993

Integrating Hospital Information Systems. The challenges and advantages of (re-)starting now.

With the new technologies available today, more complex and useful Hospital Information Systems (HIS) can be designed and implemented. These new technologies have allowed that information from different sources and nature such as documents, images and signals be integrated within a single environment. Open standards, reliable networks, powerful hardware and software and lower prices are among the issues that make all this possible. One of the main issues is what to do with old systems that do not adhere to this new HIS concept. At the Heart Institute (InCor), a decision was made towards starting developing a new system called I3S. This paper gives a brief description of that system.

Brazil↗
PubMed1992

Human leukocyte A and B antigen, gene and haplotype frequencies in the population of the city of São Paulo in Brazil.

1. Antigen, gene and haplotype frequencies are important data for population analysis, paternity exclusion testing, genetic studies, and for organ transplantation selection. 2. We have studied the Class I histocompatibility antigens of 617 unrelated individuals from the city of São Paulo, Brazil, to determine antigen and gene frequencies of 16 HLA-A and 28 HLA-B antigens. Estimated haplotype frequencies were also determined, as well as the genetic distances of this population from European Caucasian and Negro populations. 3. A previously unknown linkage disequilibrium was detected for A23-B49 and a clear trend towards antigen frequencies intermediate between Caucasoid and Negro populations was observed.

Adult↗
PubMedDate not supplied

Lossy compression techniques, medical images, and the clinician.

There has been increasing interest in the storage and retrieval of medical images in hospitals and clinics here in Brazil and elsewhere. At the Heart Institute of São Paulo, with thousands of image-based procedures performed each month, the pursuit of optimal transmission and storage methods for digital images is a major concern. The use of data-compression techniques can reduce the enormous amount of imaging data to be stored or transmitted across a computer network, so that the efficiency of the computing system is preserved. The techniques for image compression can be categorized as "lossless" or "lossy," with "lossy" techniques being those in which some, supposedly irrelevant information is lost. Lossy techniques are much more efficient than lossless ones, achieving data-compression ratios as high as 100:1.

Algorithms↗