TY - JOUR
T1 - Mixed multiscale BM4D for three-dimensional optical coherence tomography denoising
AU - Abbasi, Ashkan
AU - Monadjemi, Amirhassan
AU - Fang, Leyuan
AU - Rabbani, Hossein
AU - Antony, Bhavna Josephine
AU - Ishikawa, Hiroshi
N1 - Publisher Copyright:
© 2023
PY - 2023/3
Y1 - 2023/3
N2 - A multiscale extension for the well-known block matching and 4D filtering (BM4D) method is proposed by analyzing and extending the wavelet subbands denoising method in such a way that the proposed method avoids directly denoising detail subbands, which considerably simplifies the computations and makes the multiscale processing feasible in 3D. To this end, we first derive the multiscale construction method in 2D and propose multiscale extensions for three 2D natural image denoising methods. Then, the derivation is extended to 3D by proposing mixed multiscale BM4D (mmBM4D) for optical coherence tomography (OCT) image denoising. We tested mmBM4D on three public OCT datasets captured by various imaging devices. The experiments revealed that mmBM4D significantly outperforms its original counterpart and performs on par with the state-of-the-art OCT denoising methods. In terms of peak-signal-to-noise-ratio (PSNR), mmBM4D surpasses the original BM4D by more than 0.68 decibels over the first dataset. In the second and third datasets, significant improvements in the mean to standard deviation ratio, contrast to noise ratio, and equivalent number of looks were achieved. Furthermore, on the downstream task of retinal layer segmentation, the layer quality preservation of the compared OCT denoising methods is evaluated.
AB - A multiscale extension for the well-known block matching and 4D filtering (BM4D) method is proposed by analyzing and extending the wavelet subbands denoising method in such a way that the proposed method avoids directly denoising detail subbands, which considerably simplifies the computations and makes the multiscale processing feasible in 3D. To this end, we first derive the multiscale construction method in 2D and propose multiscale extensions for three 2D natural image denoising methods. Then, the derivation is extended to 3D by proposing mixed multiscale BM4D (mmBM4D) for optical coherence tomography (OCT) image denoising. We tested mmBM4D on three public OCT datasets captured by various imaging devices. The experiments revealed that mmBM4D significantly outperforms its original counterpart and performs on par with the state-of-the-art OCT denoising methods. In terms of peak-signal-to-noise-ratio (PSNR), mmBM4D surpasses the original BM4D by more than 0.68 decibels over the first dataset. In the second and third datasets, significant improvements in the mean to standard deviation ratio, contrast to noise ratio, and equivalent number of looks were achieved. Furthermore, on the downstream task of retinal layer segmentation, the layer quality preservation of the compared OCT denoising methods is evaluated.
KW - BM4D
KW - Multiscale denoising
KW - Optical coherence tomography
KW - Sparse representations
KW - Wavelets
UR - http://www.scopus.com/inward/record.url?scp=85148547145&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85148547145&partnerID=8YFLogxK
U2 - 10.1016/j.compbiomed.2023.106658
DO - 10.1016/j.compbiomed.2023.106658
M3 - Article
C2 - 36827787
AN - SCOPUS:85148547145
SN - 0010-4825
VL - 155
JO - Computers in Biology and Medicine
JF - Computers in Biology and Medicine
M1 - 106658
ER -