scispace - formally typeset
Journal ArticleDOI

Adaptive Rician denoising with edge preservation for MR images of the articular cartilage

TLDR
An adaptive filter with Brown–Forsythe statistical criterion has been implemented to avoid excessive filtering near the edges of the denoising procedure and showed improved image contrast with edge preservation ability.
Abstract
MR image offers better soft tissue contrast which makes it advantageous for cartilage diagnosis for patients suffering from Osteoarthritis. But magnitude MR images are susceptible to Rician noise w...

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Citations
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Journal ArticleDOI

Automated and optimal detection of 3D articular cartilage using undecimated wavelets in MRI

TL;DR: An automated cartilage detection technique using 3D histogram and wavelet multiscale singularity analysis and reduction in MSE for both denoised and noisy MRI volumes at different standard deviations of noise with overall improvement in SNR is proposed.
Journal ArticleDOI

Edge localisation in MRI for images with signal‐dependent noise

TL;DR: A new edge localisation technique for step edges in images with signal dependent Rician noise in MRI is proposed, which uses higher-order moments of the noise function to determine the correction factor for localisation and reduces the overall mean square error for true edgeLocalisation due to noise.
Dissertation

3D medical image analysis using knee MRI

Isshaa Aarya
TL;DR: This thesis investigates the presence of Rician noise on MRI signal and proposes new imaging techniques to effciently reduce the effect of noise while retaining crucial edge information in addition to improving the overall signal content which will enable in improved cartilage detection and quantifcation.
References
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Journal ArticleDOI

Nonlinear total variation based noise removal algorithms

TL;DR: In this article, a constrained optimization type of numerical algorithm for removing noise from images is presented, where the total variation of the image is minimized subject to constraints involving the statistics of the noise.
Journal ArticleDOI

Scale-space and edge detection using anisotropic diffusion

TL;DR: A new definition of scale-space is suggested, and a class of algorithms used to realize a diffusion process is introduced, chosen to vary spatially in such a way as to encourage intra Region smoothing rather than interregion smoothing.
Proceedings ArticleDOI

A non-local algorithm for image denoising

TL;DR: A new measure, the method noise, is proposed, to evaluate and compare the performance of digital image denoising methods, and a new algorithm, the nonlocal means (NL-means), based on a nonlocal averaging of all pixels in the image is proposed.
Book

Applied Statistics and Probability for Engineers

TL;DR: Montgomery and Runger's Engineering Statistics text as discussed by the authors provides a practical approach oriented to engineering as well as chemical and physical sciences by providing unique problem sets that reflect realistic situations, students learn how the material will be relevant in their careers.
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