Utilize este identificador para referenciar este registo: http://hdl.handle.net/10198/15394
Título: Performance analysis of speckle ultrasound image filtering
Autor: Rosa, R.
Monteiro, Fernando C.
Palavras-chave: Quality metrics
Speckle noise
Speckle reduction
Ultrasound images
Data: 2016
Citação: Rosa, R.; Monteiro, F. C. (2016) - Performance analysis of speckle ultrasound image filtering. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization. ISSN 2168-1163. 4, p. 193-201
Resumo: Over the last three decades, several despeckling filters have been developed by researchers to reduce the speckle noise inherently present in ultrasound B-scan images without losing the diagnostic information. This paper compiles and compares well-known techniques mostly used in the smoothing or suppression of speckle noise in ultrasound images. A comparison of the methods studied is done based on an experiment, using quality metrics, texture analysis and interpretation of profiles to evaluate their performance and show the benefits each one can contribute to denoising and feature preservation. To test the methods, a noise-free image of a kidney is used and then the Field II program simulates a B-mode ultrasound image. By this way, the smoothing techniques can be compared using numeric metrics, taking the noise-free image as a reference. In this study, a total of 17 different speckle reduction algorithms have been documented based on spatial filtering, diffusion filtering and wavelet filtering, with 15 qualitative metrics estimation. We use the tendencies observed in our study in real images. A new evaluation metric is proposed to evaluate the despeckling results.
Peer review: yes
URI: http://hdl.handle.net/10198/15394
DOI: 10.1080/21681163.2014.935803
ISSN: 21681-163
Aparece nas colecções:ESTiG - Artigos em Revistas Indexados à WoS/Scopus

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
25.pdf850,75 kBAdobe PDFVer/Abrir

FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Degois 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.