TY - GEN
T1 - BM3D-based ultrasound image denoising via brushlet thresholding
AU - Gan, Yu
AU - Angelini, Elsa
AU - Laine, Andrew
AU - Hendon, Christine
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/21
Y1 - 2015/7/21
N2 - In this paper, we present a brushlet-based block matching 3D (BM3D) method to collaboratively denoise ultrasound images. Through dividing image into multiple blocks, we group them based on similarity. Then, grouped blocks sharing similarity form a 3D image volume. For each volume, brushlet thresholding is applied to remove noise in the frequency domain. Upon completion of individual filtering, the volumes are aggregated and reconstructed globally. To evaluate our method, we run our denoising scheme on synthetic images corrupted with additive or multiplicative noise. The results show that our method can achieve good denoising performance in comparison with existing methods. Our method is also evaluated on cardiac and fetal ultrasound images. Analysis on the contrast and homogeneity of the denoised images demonstrates the feasibility of applying our method to ultrasound images to improve image quality and facilitate further processing such as segmentation.
AB - In this paper, we present a brushlet-based block matching 3D (BM3D) method to collaboratively denoise ultrasound images. Through dividing image into multiple blocks, we group them based on similarity. Then, grouped blocks sharing similarity form a 3D image volume. For each volume, brushlet thresholding is applied to remove noise in the frequency domain. Upon completion of individual filtering, the volumes are aggregated and reconstructed globally. To evaluate our method, we run our denoising scheme on synthetic images corrupted with additive or multiplicative noise. The results show that our method can achieve good denoising performance in comparison with existing methods. Our method is also evaluated on cardiac and fetal ultrasound images. Analysis on the contrast and homogeneity of the denoised images demonstrates the feasibility of applying our method to ultrasound images to improve image quality and facilitate further processing such as segmentation.
KW - BM3D
KW - Brushlet
KW - image denoising
KW - ultrasound imaging
UR - http://www.scopus.com/inward/record.url?scp=84944325599&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84944325599&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2015.7163961
DO - 10.1109/ISBI.2015.7163961
M3 - Conference contribution
AN - SCOPUS:84944325599
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 667
EP - 670
BT - 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015
T2 - 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015
Y2 - 16 April 2015 through 19 April 2015
ER -