Spatio-temporal x-ray fluoroscopy filtering using object detection

Richard Aufrichtig, Davi Geiger, Ajit Singh, David L. Wilson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We describe an image processing technique to enhance x-ray fluoroscopy image sequences by reducing noise while minimizing motion blur. The method consists of object detection, followed by spatial and recursive temporal filtering. In many fluoroscopy applications, much of the motion occurs in isolated long thin objects (catheters, guide wires, etc.). We demonstrate that such structures can be detected and roughly segmented. Based upon the segmentation output we adjust spatial and temporal filtering parameters, such as to reduce noise without blurring the objects. As compared to conventional motion-detection filtering, this object-detection filtering method incorporates additional a priori knowledge of the image content. We demonstrate the segmentation and enhancement method on x-ray fluoroscopy sequences.

Original languageEnglish (US)
Title of host publicationComputers in Cardiology
PublisherPubl by IEEE
Pages587-590
Number of pages4
ISBN (Print)0818654708
StatePublished - 1993
EventProceedings of the 1993 Conference on Computers in Cardiology - London, UK
Duration: Sep 5 1993Sep 8 1993

Publication series

NameComputers in Cardiology
ISSN (Print)0276-6574

Other

OtherProceedings of the 1993 Conference on Computers in Cardiology
CityLondon, UK
Period9/5/939/8/93

ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine

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