Pregled bibliografske jedinice broj: 502788
Adaptive Spatio-Temporal Denoising of Fluoroscopic X-ray Sequences
Adaptive Spatio-Temporal Denoising of Fluoroscopic X-ray Sequences // Biomedical Signal Processing and Control, 7 (2012), 2; 173-179 doi:10.1016/j.bspc.2011.02.003 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 502788 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Adaptive Spatio-Temporal Denoising of Fluoroscopic X-ray Sequences
Autori
Tomić, Mladen ; Lončarić, Sven ; Seršić, Damir
Izvornik
Biomedical Signal Processing and Control (1746-8094) 7
(2012), 2;
173-179
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
spatio-temporal denoising; fluoroscopic sequences; X-ray images; wavelets; adaptive denoising
Sažetak
Lowering the cumulative radiation dose to a patient undergoing fluoroscopic ex- amination requires efficient denoising algorithms. We propose a method which extensively utilizes temporal dimension in order to maximize denoising effi- ciency. A set of subsequent images is processed and two estimates of denoised images are calculated. One is based on a special implementation of an adaptive edge preserving wavelet transform, while the other is based on the statistical method intersection of confidence intervals (ICI) rule. Wavelet transform is thought to produce high quality denoised images and ICI estimate can be used to further improve denoising performance about object edges. The estimates are fused to produce the final denoised image. We show that the proposed method performs very well and do not suffer from blurring in clinically important parts of images. As a result, its application could allow for significant lowering of the fluoroscope single frame dose.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
036-0362214-1989 - Inteligentne metode obrade i analize slika (Lončarić, Sven, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Tehnički fakultet, Rijeka,
Sveučilište u Rijeci
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus