A comparative study of new and current methods for dental micro-CT image denoising

Dento Maxillo Facial Radiology
Mahdi ShahmoradiMichael Swain

Abstract

The aim of the current study was to evaluate the application of two advanced noise-reduction algorithms for dental micro-CT images and to implement a comparative analysis of the performance of new and current denoising algorithms. Denoising was performed using gaussian and median filters as the current filtering approaches and the block-matching and three-dimensional (BM3D) method and total variation method as the proposed new filtering techniques. The performance of the denoising methods was evaluated quantitatively using contrast-to-noise ratio (CNR), edge preserving index (EPI) and blurring indexes, as well as qualitatively using the double-stimulus continuous quality scale procedure. The BM3D method had the best performance with regard to preservation of fine textural features (CNREdge), non-blurring of the whole image (blurring index), the clinical visual score in images with very fine features and the overall visual score for all types of images. On the other hand, the total variation method provided the best results with regard to smoothing of images in texture-free areas (CNRTex-free) and in preserving the edges and borders of image features (EPI). The BM3D method is the most reliable technique for denoising dental micr...Continue Reading

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Citations

Nov 26, 2016·Journal of Dentistry·Mahdi Shahmoradi, Michael V Swain
May 29, 2018·Australian Dental Journal·M ShahmoradiM Swain
Aug 14, 2019·Dento Maxillo Facial Radiology·Hugo Gaêta-AraujoChristiano de Oliveira-Santos
Apr 7, 2020·Dento Maxillo Facial Radiology·Durer IskanderaniKristina Hellen-Halme
Mar 20, 2019·Scientific Reports·Boyang WanQing Li
Feb 11, 2020·Journal of X-ray Science and Technology·Yang ChenShengdong Nie
Jul 1, 2020·Imaging Science in Dentistry·Hugo Gaêta-AraujoChristiano Oliveira-Santos
Mar 2, 2019·Medical Principles and Practice : International Journal of the Kuwait University, Health Science Centre·Asma AlyahyaMichael Swain

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