Denoising of highly accelerated real-time cardiac MR images using extended non-local means
نویسندگان
چکیده
Introduction: Real-time cardiac MRI may be a powerful technique to assess myocardial function, especially to overcome gating difficulties in patients with arrhythmias, dyspnea or in pediatrics [1]. However, despite improvements in technology and sequences, standard real-time MRI often suffers from compromised spatiotemporal resolution. To achieve high temporal resolution (e.g. compatible with pharmacological stress studies) with a sufficient spatial resolution, highly accelerated TSENSE [2] acquisitions are used. To overcome the signal-to-noise ratio (SNR) limitations of these high acceleration factors, a new method for real-time denoising based on the non-local means algorithm is presented.
منابع مشابه
SNR enhancement of highly-accelerated real-time cardiac MRI acquisitions based on non-local means algorithm
Real-time cardiac MRI appears as a promising technique to evaluate the mechanical function of the heart. However, ultra-fast MRI acquisitions come with an important signal-to-noise ratio (SNR) penalty, which drastically reduces the image quality. Hence, a real-time denoising approach would be desirable for SNR amelioration. In the clinical context of cardiac dysfunction assessment, long acquisi...
متن کاملDenoising MR Images Using Non-Local Means Filter with Combined Patch and Pixel Similarity
Denoising is critical for improving visual quality and reliability of associative quantitative analysis when magnetic resonance (MR) images are acquired with low signal-to-noise ratios. The classical non-local means (NLM) filter, which averages pixels weighted by the similarity of their neighborhoods, is adapted and demonstrated to effectively reduce Rician noise without affecting edge details ...
متن کاملAn extended non-local means algorithm: Application to brain MRI
Improved adaptive nonlocal means (IANLM) is a variant of classical nonlocal means (NLM) denoising method based on adaptation of its search window size. In this article, an extended nonlocal means (XNLM) algorithm is proposed by adapting IANLM to Rician noise in images obtained by magnetic resonance (MR) imaging modality. Moreover, for improved denoising, a wavelet coefficient mixing procedure i...
متن کاملAdaptive non-local means denoising of MR images with spatially varying noise levels.
PURPOSE To adapt the so-called nonlocal means filter to deal with magnetic resonance (MR) images with spatially varying noise levels (for both Gaussian and Rician distributed noise). MATERIALS AND METHODS Most filtering techniques assume an equal noise distribution across the image. When this assumption is not met, the resulting filtering becomes suboptimal. This is the case of MR images with...
متن کاملImage segmentation using CUDA accelerated non-local means denoising and bias correction embedded fuzzy c-means (BCEFCM)
Due to intensity overlaps between interested objects caused by noise and intensity inhomogeneity, image segmentation is still an open problem. In this paper, we propose a framework to segment images in the well-known image model in which intensities of the observed image are viewed as a product of the true image and the bias field. In the proposed framework, a CUDA accelerated non-local means d...
متن کامل