Adaptive spatio-temporal denoising of fluoroscopic X-ray sequences

被引：17

作者：

Tomic, M. ^{[1
]}

Loncaric, S. ^{[2
]}

Sersic, D. ^{[2
]}

机构：

[1] Univ Rijeka, Fac Engn, HR-51000 Rijeka, Croatia

[2] Univ Zagreb, Fac Elect Engn & Comp, HR-10000 Zagreb, Croatia

来源：

BIOMEDICAL SIGNAL PROCESSING AND CONTROL | 2012年 / 7卷 / 02期

关键词：

Spatio-temporal denoising; Fluoroscopic sequences; X-ray images; Wavelets; Adaptive denoising;

D O I：

10.1016/j.bspc.2011.02.003

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Lowering the cumulative radiation dose to a patient undergoing fluoroscopic examination requires efficient denoising algorithms. We propose a method, which extensively utilizes temporal dimension in order to maximize denoising efficiency. 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. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：173 / 179

页数：7

共 27 条

[1]

[Anonymous], 12 MED C MED BIOL EN

[2] X-ray fluoroscopy spatio-temporal filtering with object detection [J].