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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
Número total de Autores: 16
Tipo de documento: Artigo Científico
Fonte: VIII LATIN AMERICAN CONFERENCE ON BIOMEDICAL ENGINEERING AND XLII NATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING; v. 75, p. 5-pg., 2020-01-01.
Resumo

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)

Processo FAPESP: 17/22949-3 - Simulação tridimensional do coração baseada na análise de ECG e de imagens cardíacas: arritmias e infarto do miocárdio
Beneficiário:Regina Célia Coelho
Modalidade de apoio: Auxílio à Pesquisa - Regular