Paper
24 July 1998 Image acquisition and real-time processing in region-of-interest fluoroscopy with variation of source-to-image distance
Author Affiliations +
Abstract
An automatic ROI tracking system for the application of ROI fluoroscopy is designed. The methods for processing in real- time, generating binary masks, equalization of the display and the scheme for the image analysis to track ROI size are described. The initial results of the system tested on a torso phantom are reported and discussed. The system results in the appearance of an almost completely equalized real-time image and the method can be incorporated into x-ray fluoroscopy units with minimum modification. With the technology, ROI fluoroscopy can be applied to interventional or diagnostic procedures for practical patient dose reduction.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chang-Ying J. Yang, Stephen Rudin, and Daniel R. Bednarek "Image acquisition and real-time processing in region-of-interest fluoroscopy with variation of source-to-image distance", Proc. SPIE 3336, Medical Imaging 1998: Physics of Medical Imaging, (24 July 1998); https://doi.org/10.1117/12.317071
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Binary data

Image processing

Image filtering

Fluoroscopy

Video

X-rays

Automatic tracking

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