Isfahan University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share By
Bandlets on Oriented Graphs: Application to Medical Image Enhancement Publisher

Summary: A study shows a new image-processing method helps clean up noisy medical scans, improving detail in eye and microscopic images. #MedicalImaging #AIResearch

Kafieh R1 ; Rabbani H1 ; Unal G2
Authors

Source: IEEE Access Published:2019


Abstract

In this paper, we introduce a new image modeling method by getting benefit from both sparsity and multiscale characteristics of transform-domain modeling, along with the geometrical representation of the graph-based models. The proposed method is named bandlet on an oriented graph (BOG) and improves directional selectivity property of the bandlets. The conventional wavelet in the bandlet design is substituted with a new non-orthogonal wavelet. The replaced wavelet is defined on a graph. In order to adjust the orientation of the wavelet atoms with the corresponding edges in the image pixels, a directed graph is constructed. The resultant wavelets in discrete scales can be considered as a frame and are created to build a tight frame. To show the effectiveness of this new atomic representation, we demonstrated the performance of the new model in noise alleviation of the optical coherence tomography (OCT) images (from the retina) and microscopic images. Denoising results on OCT are reported on 72 slices, selected arbitrarily out of OCT dataset from Topcon device. The combined method provided an enhancement of contrast to noise ratio (CNR) (from 27.82 to 30.11), and improvement of the equivalent number of looks (ENL) (from 2183.26 to 2217.37) over the state-of-The-Art in OCT noise reduction. In the denoising of microscopic images, PSNR improvement (from 26.33 to 35.24) over the original image is shown along with the improvement in next steps of feature extraction. © 2013 IEEE.
2. Retinal Oct Image Denoising Based on Adaptive Bessel K-Form Modeling, 2023 30th National and 8th International Iranian Conference on Biomedical Engineering, ICBME 2023 (2023)
Experts (# of related papers)
Bandlets on Oriented Graphs: Application to Medical Image Enhancement
Other Related Docs
4. Geometrical X-Lets for Image Denoising, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (2019)
9. The Ellipselet Transform, Journal of Medical Signals and Sensors (2019)
15. Multivariate Statistical Modeling of Retinal Optical Coherence Tomography, IEEE Transactions on Medical Imaging (2020)
16. Combining Non-Data-Adaptive Transforms for Oct Image Denoising by Iterative Basis Pursuit, Proceedings - International Conference on Image Processing, ICIP (2022)
17. Local Self-Similar Solution of Admm for Denoising of Retinal Oct Images, IEEE Transactions on Instrumentation and Measurement (2024)
20. Intra-Retinal Layer Segmentation of Optical Coherence Tomography Using Diffusion Map, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (2013)