Spatio-temporal X-ray fluoroscopy filtering using object detection

Aufrichtig, Richard; Geiger, Davi; Singh, Arun Vikas; Wilson, David L.

doi:10.1109/cic.1993.378334

Cited by 1 publication

(2 citation statements)

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“…Thus it is relatively natural to try to combine spatial and temporal filtering methods in a synergistic manner. Indeed, this has been an active research topic in recent years 2,10,12,[16][17][18][19]24 . One problem emerging with spatial-temporal filtering is the detection of catheter (moving regions) in order to adaptively apply the distinct filtering techniques for static and moving regions within each frame.…”

Section: Introductionmentioning

confidence: 99%

“…One problem emerging with spatial-temporal filtering is the detection of catheter (moving regions) in order to adaptively apply the distinct filtering techniques for static and moving regions within each frame. Several methods, such as template matching 20 , motion detection, or line structure detection 16,21 , etc. have been investigated and with good results.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive spatial-temporal filtering applied to x-ray fluoroscopy angiography

et al. 2005

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Adaptive filtering of temporally varying X-ray image sequences acquired during endovascular interventions can improve the visual tracking of catheters by radiologists. Existing techniques blur the important parts of image sequences, such as catheter tips, anatomical structures and organs; and they may introduce trailing artifacts. To address this concern, an adaptive filtering process is presented to apply temporal filtering in regions without motion and spatial filtering in regions with motion. The adaptive filtering process is a multi-step procedure. First a normalized motion mask that describes the differences between two successive frames is generated. Secondly each frame is spatially filtered using the specific motion mask to specify different types of filtering in each region. Third an IIR filter is then used to combine the spatially filtered image with the previous output image; the motion mask thus serves as a weighted input mask to determine how much spatial and temporal filtering should be applied. This method results in improving both the stationary and moving fields. The visibility of static anatomical structures and organs increases, while the motion of the catheter tip and motion of anatomical structures and organs remain unblurred and visible during interventional procedures.

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