ArticleMeasurement science & technology2011
A wavelet multiscale denoising algorithm for magnetic resonance (MR) images.
Article in Measurement science & technology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 61 citations in OpenAlex.
- MRI Denoising Using Pixel-Wise Threshold Selection.IEEE access : practical innovations, open solutions · 2024Article
- De-Aliasing and Accelerated Sparse Magnetic Resonance Image Reconstruction Using Fully Dense CNN with Attention Gates.Bioengineering (Basel, Switzerland) · 2022Article
- Article
- Denoising of 3D Brain MR Images with Parallel Residual Learning of Convolutional Neural Network Using Global and Local Feature Extraction.Computational intelligence and neuroscience · 2021Article
- An enhanced adaptive non-local means algorithm for Rician noise reduction in magnetic resonance brain images.BMC medical imaging · 2020Article
- A Denoising Algorithm for CT Image Using Low-rank Sparse Coding.Proceedings of SPIE--the International Society for Optical Engineering · 2018Article
- Improving Image Quality of Cone-Beam CT Using Alternating Regression Forest.Proceedings of SPIE--the International Society for Optical Engineering · 2018Article
- A Patch-based CBCT Scatter Artifact Correction Using Prior CT.Proceedings of SPIE--the International Society for Optical Engineering · 2017Article
- Pseudo CT Estimation from MRI Using Patch-based Random Forest.Proceedings of SPIE--the International Society for Optical Engineering · 2017Article
- The EM Method in a Probabilistic Wavelet-Based MRI Denoising.Computational and mathematical methods in medicine · 2015Article
- Automated segmentation of the parotid gland based on atlas registration and machine learning: a longitudinal MRI study in head-and-neck radiation therapy.International journal of radiation oncology, biology, physics · 2014Article
- Multi-atlas-based Segmentation of the Parotid Glands of MR Images in Patients Following Head-and-neck Cancer Radiotherapy.Proceedings of SPIE--the International Society for Optical Engineering · 2013Article
- Cupping artifact correction and automated classification for high-resolution dedicated breast CT images.Medical physics · 2012Article
- Nonrigid Registration and Classification of the Kidneys in 3D Dynamic Contrast Enhanced (DCE) MR Images.Proceedings of SPIE--the International Society for Optical Engineering · 2012Article
- A multiscale and multiblock fuzzy C-means classification method for brain MR images.Medical physics · 2011Article
- Multiscale segmentation of the skull in MR images for MRI-based attenuation correction of combined MR/PET.Journal of the American Medical Informatics Association : JAMIAArticle
- Patch-Based Label Fusion for Automatic Multi-Atlas-Based Prostate Segmentation in MR Images.Proceedings of SPIE--the International Society for Optical EngineeringArticle
Corrections and comments
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Authors and funding
2 authors at 1 institution in 2 countries.
Funding
Abstract
Based on the Radon transform, a wavelet multiscale denoising method is proposed for MR images. The approach explicitly accounts for the Rician nature of MR data. Based on noise statistics we apply the Radon transform to the original MR images and use the Gaussian noise model to process the MR sinogram image. A translation invariant wavelet transform is employed to decompose the MR 'sinogram' into multiscales in order to effectively denoise the images. Based on the nature of Rician noise we estimate noise variance in different scales. For the final denoised sinogram we apply the inverse Radon transform in order to reconstruct the original MR images. Phantom, simulation brain MR images, and human brain MR images were used to validate our method. The experiment results show the superiority of the proposed scheme over the traditional methods. Our method can reduce Rician noise while preserving the key image details and features. The wavelet denoising method can have wide applications in MRI as well as other imaging modalities.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.