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At least 523 records · Page 29Linked to original sources
PubMed1994

A computer system for skeletal growth measurement.

In this paper, we have presented a new image-processing system for the measurement of skeletal growth in pediatric radiology. From a standard posterior and anterior view radiograph, taken from a left hand, the proposed system first automatically locates the phalangeal region of interest, and then measures the geometrical parameters associated with skeletal maturity. Finally, the bone age is estimated by using the standard phalangeal length table. Clinical studies reveal that the computer processing has resulted in an objective and accurate assessment of skeletal age. It greatly improves the shortcomings, including inter- and intraobserver variations and inaccuracy, reported in other research by manual methods. In conclusion, it is an inexpensive and useful tool for the evaluation of short-term abnormalities in the skeletal growth of children.

Adolescent↗
PubMed1998

A cluster computer system for the analysis and classification of massively large biomedical image data.

The current trend in medical image acquisition is towards the generation of image datasets which are massively large, either because they exhibit fine x, y, or z resolution, are volumetric, are multispectral, or a combination of all of the preceding. Such images pose a significant computational challenge in their analysis, not only in terms of data throughput, but also in terms of platform costs and simplicity. In this paper we describe the role of a cluster of workstations together with two quite different application programming interfaces (APIs) in the quantitative analysis of anatomic image data from the visible human project using an MRF-Gibbs classification algorithm. We describe the typical architecture of a cluster computer, two API options and the parallelization of the MRF-Gibbs procedure for the cluster. Finally, we show speedup results obtained on the cluster and sample classifications of visible human data.

Algorithms↗
PubMed1981

A conversational information computer system for health and safety operation: the occupational surveillance interactive system (OSIS).

Collection, storage and retrieval of health and safety information is critical in occupational settings in making decisions about safety of employees and the healthful nature of the work environment. Computer surveillance programs have been utilized previously, but have been too complicated, too mathematical, and not directly accessible to health and safety personnel. This paper discusses the Occupational Surveillance Interactive System (OSIS), a conversational system which utilizes English instead of a computer language, and which provides immediate feedback to the health and safety practitioner through fact retrieval and statistical inference. Additionally, an algorithm is introduced which provides a predictive cueing for the development of some disease processes. The hypothetical example illustrated herein introduces a prototypal computer surveillance system, operating under an interactive mode, to provide the health and safety professional with a decision-making tool in occupational settings.

Computers↗
PubMed1995

A new drug classification for computer systems: the ATC extension code.

During the testing of the Read Clinical Codes in general practice medical records in Australia, it became apparent that the pharmaceutical section of the codes was not applicable in a country with different brand names, pack sizes and forms. For pharmacoepidemiological studies, structured classification of both morbidity and pharmaceuticals is required for meaningful analysis. The search for a suitable pharmaceutical classification proved fruitless. While the Australian Government has recently adopted the Anatomical Therapeutic Chemical (ATC) Classification as the national standard, this only classifies drugs to the generic level. None of the extended coding systems used in hospital pharmacies, by community pharmacists, or by Government are hierarchically structured. The extension code we have developed, is an analytical algorithm comprising independent fields for: dosage; strength; manufacturer and brand; and pack size. The codes within each field are also structured in a hierarchical manner. The result is an extension code of 21 digits, each digit or group of digits having a meaning. The structure of this classification will allow analysis of any aspect of the drug prescribed. This system is designed for computerised entry of text and transparent coding of the data--not for manual coding on paper nor manual code entry to the computer.

Algorithms↗
PubMed2002

[A computer system for planning and carrying out neurosurgical interventions].

Neurosurgical interventions have to be planned carefully using different sources of information like anatomical MR images, segmented brain structures, functional data (EEG, MEG, fMRI) and atlas information. We developed a 3D planning system that incorporates this important data. The planning procedure is performed by the neurosurgeon in less than 15 minutes. The results of the planning phase, i.e. an optimal trajectory, localizations of the electrical sources and information about the brain tissue can be used intraoperatively. Therefore the planning system is connected with a navigation system. The simultaneous visualization of the planning information and the actual position of the instrument during the surgical procedure is extremely valuable for the outcome and quality of the intervention.

Brain Neoplasms↗