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

journal contribution
posted on 2023-05-18, 01:31 authored by Aarya, I, Jiang, D, Timothy GaleTimothy Gale
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 which affects image quality leading to incorrect diagnosis. In this paper we propose a novel Rician denoising procedure with edge preservation capability. An adaptive filter with Brown–Forsythe statistical criterion has been implemented to avoid excessive filtering near the edges. Denoising is achieved using a linear minimum mean square estimate of the regional sample, obtained using a modified non-local means estimate within the neighbourhood of the image. The proposed filter was implemented on MR images of the knee, synthetic and a phantom. The efficiency of the denoising procedure was determined using signal-to-noise ratio, root mean square error, quality index based on local variance and contrast-to-noise ratio between true and denoised images of the cartilage. The method was also compared with other existing Rician denoising procedures and showed improved image contrast with edge preservation ability.

History

Publication title

Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization

Issue

Published online: 03 Jun 2014

Pagination

1-10

ISSN

2168-1163

Department/School

School of Engineering

Publisher

Taylor & Francis

Place of publication

UK

Rights statement

Copyright 2014 Taylor and Francis

Repository Status

  • Restricted

Socio-economic Objectives

Clinical health not elsewhere classified

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