Spatio-Temporal Multiscale Denoising of Fluoroscopic Sequence

Autor: C. Girard, Michel Desvignes, Jérémie Pescatore, Carole Amiot, Jocelyn Chanussot

Publikováno v: IEEE Transactions on Medical Imaging
IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2016, 35 (6), pp.1565-1574. ⟨10.1109/TMI.2016.2520092⟩

In the past 20 years, a wide range of complex fluoroscopically guided procedures have shown considerable growth. Biologic effects of the exposure (radiation induced burn, cancer) lead to reduce the dose during the intervention, for the safety of pati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f7185f8673a7198f8e7065188444e42
https://pubmed.ncbi.nlm.nih.gov/26812705

Fluorosocopic sequence denoising using a motion compensated multi-scale temporal filtering

Autor: Carole Amiot, Michel Desvignes, C. Girard, Jérémie Pescatore, Jocelyn Chanussot

Publikováno v: ICIP

We propose a temporal motion-compensated filter operating on dual-tree complex wavelet coefficients to denoise low-dose X-ray sequences. This filter allows for a great noise reduction while preserving moving objects and structures. We take advantage

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1d95750d9416048935c04c8d61ae3c0e
https://doi.org/10.1109/icip.2015.7350887

Curvelet Based Contrast Enhancement in Fluoroscopic Sequences

Autor: Jérémie Pescatore, Jocelyn Chanussot, Carole Amiot, Michel Desvignes, C. Girard

Publikováno v: IEEE Transactions on Medical Imaging
IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2015, 34 (1), pp.137-147. ⟨10.1109/TMI.2014.2349034⟩

International audience; —Image guided interventions have seen growing interest in recent years. The use of X-rays for the procedure impels limiting the dose over time. Image sequences obtained thereby exhibit high levels of noise and very low contr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84c3e5786bb2cf82b1f6bd94ca67acc6
https://hal.archives-ouvertes.fr/hal-01260393

Image denoising using contextual modeling of curvelet coefficients

Autor: Jérémie Pescatore, Razmig Kéchichian, Michel Desvignes, Jocelyn Chanussot, Carole Amiot, C. Girard

Publikováno v: ICIP 2014-21st IEEE International Conference on Image Processing
ICIP 2014-21st IEEE International Conference on Image Processing, Oct 2014, Paris, France. pp.2659-2663, ⟨10.1109/ICIP.2014.7025538⟩
ICIP

International audience; We propose an image denoising method which takes curvelet domain inter-scale, inter-location and inter-orientation dependencies into account in a maximum a posteriori labeling of the curvelet coefficients of a noisy image. The

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eec5622972698346ed075f779cedbbd8
https://hal.univ-grenoble-alpes.fr/hal-01128450

Contextual filtering in curvelet domain for fluoroscopic sequences

Autor: Michel Desvignes, Jérémie Pescatore, Carole Amiot, Jocelyn Chanussot

Publikováno v: Medical Imaging: Image Processing

X-ray exposure during image guided interventions can be important for the patient as well as for the medical staff. Therefore dose reduction is a major concern. Nevertheless, decreasing the dose per image affects significantly the image quality. As a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3c63fa84838b3284834c0e975b7f3192
https://doi.org/10.1117/12.2006795