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

  title={Adaptive spatial-temporal filtering applied to x-ray fluoroscopy angiography},
  author={Gert Schoonenberg and Marc Schrijver and Qi Duan and Richard Kemkers and Andrew F. Laine},
  booktitle={SPIE Medical Imaging},
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… 

Mapping spatio-temporal filtering algorithms used in fluoroscopy to single core and multicore DSP architectures

The paper explains the fixed point design of these algorithms, which are mapped onto the C64x+TM core using instruction-level parallelism to effectively use its VLIW architecture and distributes the operations to leverage multi-core DSP architectures.

Curvelet Based Contrast Enhancement in Fluoroscopic Sequences

Quantitative and qualitative evaluations performed on synthetic and real low-dose sequences demonstrate that the proposed denoising method enables a 50% dose reduction and a line enhancement technique in the curvelet domain is proposed.

A device enhancing and denoising algorithm for X-ray cardiac fluoroscopy

This article proposes an algorithm based on spatial-temporal filtering conditioned by a feature of interest map that will either filter, preserve or enhance the image content in the denoising of fluoroscopic image sequences in interventional cardiology.

A comparison of line enhancement techniques: applications to guide-wire detection and respiratory motion tracking

This article reviewed and classified guide-wire detection techniques into three families and built a rigorous framework to compare their detection capability and their computational complexity, demonstrating that the Hessian based methods are the most robust to strong curvature of the devices and that the family of rotated filters technique is the most suited for detecting low CNR and low curvature devices.

Noise reduction in low-dose x-ray fluoroscopy for image-guided radiation therapy.

Localization and tracking of aortic valve prosthesis in 2D fluoroscopic image sequences

This paper presents a new method for localization and tracking of the aortic valve prosthesis (AVP) in 2D fluoroscopic image sequences to assist the surgeon to reach the safe zone of implantation

Image processing algorithms for the visualization of interventional devices in X-ray fluoroscopy

The objective of the work presented in this thesis is designing, studying and validating image processing techniques that improve the visualization of stents and proposes a generic tool to process such curvilinear structures that is called the Polygonal Path Image (PPI), which relies on the concept of locally optimal paths.

Image Processing Algorithms for Real-Time Tracking and Control of an

In this paper, we investigate vision-based robot- assisted active catheter insertion. A map of the vessels is extracted using image processing techniques and the locations of the junctions of the



X-ray fluoroscopy spatio-temporal filtering with object detection

A new filtering method, spatio-temporal filtering with object detection, is described that reduces noise while minimizing motion and spatial blur, and is demonstrated on several representative X-ray fluoroscopy sequences.

Quantitative image quality of spatially filtered x-ray fluoroscopy

In both single image frames and image sequences, the effect of noise-reduction spatial filtering on the detection of stationary cylinders that mimicked arteries, catheters, and guide wires in x-ray imaging is investigated, concluding that edge-preserving spatial filtering is more effective in sequences than in single frames.

Spatio-temporal X-ray fluoroscopy filtering using object detection

The authors describe an image processing technique to enhance X-ray fluoroscopy image sequences by reducing noise while minimizing motion blur by incorporating additional a priori knowledge of the image content.

Enhancement of x-ray fluoroscopy images

We describe a recursive, intensity compensation technique to enhance x-ray image sequences by reducing noise while minimizing motion blur. Our method incorporates a Poisson noise model to account for

Detection improvement in spatially filtered x-ray fluoroscopy image sequences.

  • K. JabriD. Wilson
  • Physics
    Journal of the Optical Society of America. A, Optics, image science, and vision
  • 1999
It is concluded that edge-preserving spatial filtering is more effective in sequences than in single images and that such filtering can be used to improve image quality in noisy image sequences such as x-ray fluoroscopy.

Non-linear spatio-temporal filtering of X-ray fluoroscopy images

  • F. Sánchez-MarínK. JabriY. SrinivasD. Wilson
  • Medicine
    Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. N
  • 1999
A non-linear edge preserving, spatio-temporal filter that reduces noise variance with minimal edge blurring is examined.

Perception of temporally filtered X-ray fluoroscopy images

It is imperative to include human-observer models and experiments in the analysis of noise-reduction filtering of noisy image sequences, such as X-ray fluoroscopy, the authors conclude.

Quantitative image quality evaluation of an order-statistic filter in x-ray fluoroscopic imaging

This work quantitatively evaluated image quality improvement from a bi-directional multi-stage (BMS) median spatio-temporal filter and found minimal spatial and temporal blurring of targets was observed in filtered sequences.

Nonlinear multiresolution gradient adaptive filter for medical images

A novel method for intra-frame image processing, which is applicable to a wide variety of medical imaging modalities, like X-ray angiography,X-ray fluoroscopy, magnetic resonance, or ultrasound, and allowing a real-time implementation on standard hardware is presented.

Quantitative assessment of image quality enhancement due to unsharp-mask processing in x-ray fluoroscopy.

  • K. JabriDavid L. Wilson
  • Physics
    Journal of the Optical Society of America. A, Optics, image science, and vision
  • 2002
It is concluded that unsharp masking is a simple and effective method of improving guidewire visualization in fluoroscopically guided interventional procedures and that quantitative image quality studies are essential for evaluation of image-processing techniques in sequences such as x-ray fluoroscopy.