Search PubMed⌕ Search
Home/Archive/PubMed

PubMed · 10997440

Distributed nuclear medicine applications using World Wide Web and Java technology.

P Knoll·K Höll·S Mirzaei·K Koriska·H Köhn
View original source ↗Export metadata ↓

Abstract

At present, medical applications applying World Wide Web (WWW) technology are mainly used to view static images and to retrieve some information. The Java platform is a relative new way of computing, especially designed for network computing and distributed applications which enables interactive connection between user and information via the WWW. The Java 2 Software Development Kit (SDK) including Java2D API, Java Remote Method Invocation (RMI) technology, Object Serialization and the Java Advanced Imaging (JAI) extension was used to achieve a robust, platform independent and network centric solution. Medical image processing software based on this technology is presented and adequate performance capability of Java is demonstrated by an iterative reconstruction algorithm for single photon emission computerized tomography (SPECT).

Explore related subjects

Image Processing, Computer-AssistedInternetNuclear MedicineSoftwareTelemedicineJournal Article

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

P Knoll, K Höll, S Mirzaei, K Koriska, H Köhn. 2000. Distributed nuclear medicine applications using World Wide Web and Java technology.. https://doi.org/10.1007/s003300000432

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2002

On the fitting of model electron densities into EM reconstructions: a reciprocal-space formulation.

A fast method for fitting model electron densities into EM reconstructions is presented. The methodology was inspired by the molecular-replacement technique, adapted to take into account phase information and the symmetry imposed during the EM reconstruction. Calculations are performed in reciprocal space, which enables the selection of large volumes of the EM maps, thus avoiding the bias introduced when defining the boundaries of the target density.

Image Processing, Computer-Assisted↗
PubMed2002

Computer technique for digital radiographic images correction based on the digitizer characteristic curve.

This article presents a computer correction technique for radiographic digital images based on digitization process inaccuracy in pixel gray levels relative to the respective image optical densities. The technique consists of determining the digitizer characteristic curve by digitizing a step-wedge radiographic image with known optical densities. Calibration is done by determining the mathematical function that automatically adjusts the pixel gray levels to the expected values according to the manufacturer. Two laser film digitizers were investigated for which discrepancies between measured and expected pixel values were reported. For these cases, the proposed algorithm automatically adjusted the pixel gray levels of the digitized images. Using this method, the digital images show more accurate values of gray levels compared to the original radiographic image. In addition, it allows the development of uniform images databases.

Image Processing, Computer-Assisted↗
PubMed2002

Projection access order in algebraic reconstruction technique for diffuse optical tomography.

Algebraic reconstruction technique (ART) is one of the popular image reconstruction techniques used in diffuse optical tomography (DOT). We investigate in this note the influence of the order in which data are accessed in ART. Simulations mimicking breast tissues in transmission geometry with contrast agent tumour enhancement were used to evaluate the image quality of the diverse projection access investigated. We show that by selecting proper projection access order, the convergence speed can be significantly improved when ART is used to perform DOT. Moreover, low-contrast detection is improved.

Image Processing, Computer-Assisted↗