Title :
Noise reduction in DEXA image based on system noise modeling
Author :
Kwon, J.W. ; Cho, S.I. ; Ahn, Y.B. ; Ro, Y.M.
Author_Institution :
Image & Video Syst. Lab., KAIST, Daejeon, South Korea
Abstract :
Denoising X-ray image is an important preprocessing process to measure BMD (Bone Mineral Density) correctly. In this paper, we deal with denoising X-ray image in DEXA (Dual-Energy X-ray Absorptiometry) system. Image noise in DEXA is modeled by separating source and detector noises. Using the noise model in DEXA, a noise reduction method is proposed. The proposed denoising method consists of Wiener filter to reduce the detector noise, and logarithmic scale-wavelet BayesShrink filter to reduce the source noise. Experimental results verified the proposed DEXA noise model and showed that the proposed noise reduction method outperformed the conventional method.
Keywords :
X-ray imaging; bone; density measurement; image denoising; medical image processing; DEXA image; Wiener filter; X-ray image denoising; bone mineral density; logarithmic scale wavelet BayesShrink filter; noise reduction; system noise modeling; Additive noise; Bone diseases; Detectors; Energy states; Noise measurement; Noise reduction; Optical imaging; Osteoporosis; Wiener filter; X-ray imaging;
Conference_Titel :
Biomedical and Pharmaceutical Engineering, 2009. ICBPE '09. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-4763-3
Electronic_ISBN :
978-1-4244-4764-0
DOI :
10.1109/ICBPE.2009.5384080