PubMed Health⌕ Search

PubMed · 7601185

Three-dimensional reconstruction of anatomic structures using serial sectional images.

Abstract

Precise three-dimensional modeling and visualization of human anatomy and pathology are important in medicine. Three-dimensional models have applications in the training of medical students and residents and aid physicians evaluate and determine appropriate clinical management of patients. Three-dimensional reconstructions of radiographic images have been available for some time now. However, electronic reconstruction of these images often requires the utilization of large computer systems or workstations and also requires highly trained and specialized technicians to perform the task. This paper presents a technique for precise three-dimensional reconstruction of the human anatomy and pathology using an 80486 IBM compatible personal computer and commercially available software. We reconstructed the images from computed tomography scans. Implementation of this technique does not require extensive training and shows good results after a short learning curve.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

J Leissner, R Hohenfellner, G S Tay, R K Lawson, R F Donnell. 1995. Three-dimensional reconstruction of anatomic structures using serial sectional images.. https://doi.org/10.1159/000475164

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

KEEP EXPLORING

Related citations

An integrated approach to a teaching file linked to PACS.

To meet the educational needs of a medical imaging department with a strong teaching commitment, a teaching file that uses digital data supplied by the institutional picture archiving and communications system (PACS) was required. This teaching file had to be easily used by the end users, have a simple submission process, be able to support multiple users, be searchable on all data fields, and implementing the teaching file must not incur any additional software or hardware costs. The teaching file developed to address this problem takes advantage of the database structure and capabilities of several components included in the commercial PACS installed at the hospital. MS Access is used to seamlessly integrate with the digital imaging and communication in medicine (DICOM) database of a normal work station that is part of the PACS. This integration allows relevant patient and study demographics to be copied from images of interest and then to be stored in a separate database as the back-end of the digital teaching file. When images for a particular teaching file case need to be reviewed, they are automatically retrieved and displayed from the main PACS database using an open application programming interface (API) connection defined on the PACS web server. Utilizing this open API connection means the teaching file contains only the relevant demographic information of each teaching file case; no image data is stored locally. The open API connection allows access to imaging data usually not encountered in a teaching file, allowing more comprehensive imaging case files to be developed by the radiologist. Other advantages of this teaching file design are that it does not duplicate image data, it is small allowing simple ongoing backup, and it can be opened with multiple users accessing the database without compromising data access or integrity.

Computer-Assisted Instruction↗

European survey on training objectives in disaster medicine.

OBJECTIVES: As part of the I SEE (Interactive Simulation Exercise for Emergencies) project, financially supported by the Leonardo da Vinci Programme 2000-2006 of the European Commission, a study was planned to assess the type of disaster and to establish the tasks to be included in an emergency exercise to be developed, according to the possible target groups, physicians, nurses, ambulance personnel, dispatchers and first responders. A secondary objective was a description of the actual computer-based training situation in the training centres. A study involving different actors or target groups has not yet been conducted. METHODS: A questionnaire was developed, validated and subsequently distributed to the training centres for the different target groups in the partner countries. Each partner had to contact and interview the person responsible for the training in disaster medicine in the training institution. Data entry and analysis was carried out using the SPSS software on Apple Macintosh. Apart from descriptive statistics of the variables, differences between groups were analysed using analysis of variance and the Kruskal-Wallis test. RESULTS: In 75 questionnaires out of a total of 206, the combination of a major road traffic accident and a chemical accident was indicated as the first choice (36.4%). These priorities were present for the different countries and all target groups. Concerning the medical procedures to be included in the training exercise, the highest priority was given to medical coordination, medical management on site, medical alert procedures, assessment of immediate needs, medical resources management, victim transport and protection and safety procedures. Only minor differences were noted between countries, different target groups and the institutions irrespective of whether they are involved in response in case of a major accident or disaster. With regard to the secondary objective, 27% of the institutions used computer-based training in disaster medicine and, of those not using computer-based training, 23% plan its use in the near future. CONCLUSIONS: The European centres surveyed, put the emphasis for disaster medicine training on a mass casualty scenario. In accordance with this choice, prehospital aspects of medical care and management were considered as priorities for training. The I SEE project will develop a template and pilot exercise, serving all countries and providing team training. Among the institutions involved in the survey, a limited number will be invited to participate in the formative evaluation of the pilot exercise.

Computer-Assisted Instruction↗