Paper
8 May 1989 Low Cost Desktop Image Analysis Workstation With Enhanced Interactive User Interface
Osman Ratib, H. K. Huang
Author Affiliations +
Abstract
A multimodality picture archiving and communication system (PACS) is in routine clinical use in the UCLA Radiology Department. Several types workstations are currently implemented for this PACS. Among them, the Apple Macintosh II personal computer was recently chosen to serve as a desktop workstation for display and analysis of radiological images. This personal computer was selected mainly because of its extremely friendly user-interface, its popularity among the academic and medical community and its low cost. In comparison to other microcomputer-based systems the Macintosh II offers the following advantages: the extreme standardization of its user interface, file system and networking, and the availability of a very large variety of commercial software packages. In the current configuration the Macintosh II operates as a stand-alone workstation where images are imported from a centralized PACS server through an Ethernet network using a standard TCP-IP protocol, and stored locally on magnetic disk. The use of high resolution screens (1024x768 pixels x 8bits) offer sufficient performance for image display and analysis. We focused our project on the design and implementation of a variety of image analysis algorithms ranging from automated structure and edge detection to sophisticated dynamic analysis of sequential images. Specific analysis programs were developed for ultrasound images, digitized angiograms, MRI and CT tomographic images and scintigraphic images.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Osman Ratib and H. K. Huang "Low Cost Desktop Image Analysis Workstation With Enhanced Interactive User Interface", Proc. SPIE 1091, Medical Imaging III: Image Capture and Display, (8 May 1989); https://doi.org/10.1117/12.976452
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Cited by 1 scholarly publication.
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KEYWORDS
Image analysis

Medical imaging

Picture Archiving and Communication System

Human-machine interfaces

Angiography

Image filtering

Image enhancement

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