PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 1769220

An automated, video tape-based image archiving system.

I Vesely·B Eickmeier·G Campbell
View original source ↗Export metadata ↓

Abstract

We have developed an image storage and retrieval system that makes use of a Super-VHS video tape recorder, and a personal computer fitted with an interface board and a video frame grabber. Under PC control, video images are acquired into the frame grabber, a numeric bar code is graphically superimposed for identification purposes, and the composite images are recorded on video tape. During retrieval, the bar code is decoded in real-time and the desired images are automatically retrieved. This video tape-based system, enables the images to be previewed and retrieved much faster than if stored in digital format.

Explore related subjects

Electronic Data ProcessingImage Processing, Computer-AssistedMicrocomputersRadiology Information SystemsUser-Computer InterfaceVideotape RecordingJournal ArticleResearch Support, Non-U.S. Gov't

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

I Vesely, B Eickmeier, G Campbell. 1991. An automated, video tape-based image archiving system.. https://doi.org/10.1016/0010-4825(91)90009-x

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

KEEP EXPLORING

Related citations

PubMed2006

Dosimetric pre-treatment verification of IMRT using an EPID; clinical experience.

BACKGROUND AND PURPOSE: In our clinic a QA program for IMRT verification, fully based on dosimetric measurements with electronic portal imaging devices (EPID), has been running for over 3 years. The program includes a pre-treatment dosimetric check of all IMRT fields. During a complete treatment simulation at the linac, a portal dose image (PDI) is acquired with the EPID for each patient field and compared with a predicted PDI. In this paper, the results of this pre-treatment procedure are analysed, and intercepted errors are reported. An automated image analysis procedure is proposed to limit the number of fields that need human intervention in PDI comparison. MATERIALS AND METHODS: Most of our analyses are performed using the gamma index with 3% local dose difference and 3mm distance to agreement as reference values. Scalar parameters are derived from the gamma values to summarize the agreement between measured and predicted 2D PDIs. Areas with all pixels having gamma values larger than one are evaluated, making decisions based on clinically relevant criteria more straightforward. RESULTS: In 270 patients, the pre-treatment checks revealed four clinically relevant errors. Calculation of statistics for a group of 75 patients showed that the patient-averaged mean gamma value inside the field was 0.43 +/- 0.13 (1SD) and only 6.1 +/- 6.8% of pixels had a gamma value larger than one. With the proposed automated image analysis scheme, visual inspection of images can be avoided in 2/3 of the cases. CONCLUSION: EPIDs may be used for high accuracy and high resolution routine verification of IMRT fields to intercept clinically relevant dosimetric errors prior to the start of treatment. For the majority of fields, PDI comparison can fully rely on an automated procedure, avoiding excessive workload.

Electronic Data Processing↗
PubMed2006

The emergence of radiofrequency identification tags: applications in surgery.

Radiofrequency identification (RFID) is a wireless method of automatic identification. Currently, RFID tags are emerging into our environment in many aspects of our lives. Applications are being developed in a variety of fields, including health care. Aspects of surgical care will lend themselves to this approach. This technology could provide large amounts of data that not only carry the promise of improving health care, but also may have an impact on personal aspects of our daily lives. Each of us must become familiar with the risks and benefits of RFID use.

Electronic Data Processing↗