Comparative Evaluation of Anisotropic Filters Used to Reduce Speckle in Ultrasound Images

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Santos, Lucas Goncalves ; Guijao de Godoy, Carlos Marcelo ; Prates, Leopoldo de Jesus ; Coelho, Regina Celia ; Diaz, CAG ; Gonzalez, CC ; Leber, EL ; Velez, HA ; Puente, NP ; Flores, DL ; Andrade, AO ; Galvan, HA ; Martinez, F ; Garcia, R ; Trujillo, CJ ; Mejia, AR

• Document type: Journal article
• Source: VIII LATIN AMERICAN CONFERENCE ON BIOMEDICAL ENGINEERING AND XLII NATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING; v. 75, p. 5-pg., 2020-01-01.

Abstract

Image denoising in medical image processing is essential to improve the visual quality of the image and, consequently, the diagnosis. Speckle, a multiplicative noise that degrades the image, is common in ultrasound imaging as it tends to degrade the resolution and contrast in the image. Several filters have been developed to reduce this kind of noise. This paper presents a comparative evaluation of some anisotropic filters used to reduce the speckle noise in ultrasound images. The evaluated filters were Coherence-Enhancing Diffusion (CED), Speckle Reducing Anisotropic Diffusion (SRAD), Detail-Preserving Anisotropic Diffusion (DPAD), and Anisotropic Diffusion Filter with Memory Based on Speckle (ADMSS). The filters processed four phantom ultrasound images with speckle noise. The comparison performances of filters occurred by using Mean Square Error, Signal to Noise Ratio, Peak Signal Noise Ratio, and Structure Similarity Index. The results showed that ADMSS better reduces speckle noises in ultrasound images, compared to the other filters evaluated. (AU)

• FAPESP's process: 17/22949-3 - Three-dimensional simulation of the heart based on the analyses of ECG and cardiac images: arrhythmias and myocardial infarction
• Grantee: Regina Célia Coelho
• Support Opportunities: Regular Research Grants