Evaluation of Digital Speckle Filters for Ultrasound Images

Ultrasound (US) images are inherently corrupted by speckle noise causing inaccuracy of medical diagnosis using this technique. Hence, numerous despeckling filters are used to denoise US images. However most of the despeckling techniques cause blurring to the US images. In this work, four filters nam...

Full description

Main Authors: Radzi, Fara Nabila, Yahya, Norashikin
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.11503 /
Published: 2014
Subjects:
QA75 Electronic computers. Computer science
Online Access: http://eprints.utp.edu.my/11503/1/ID139.pdf
http://eprints.utp.edu.my/11503/7/ID139.pdf
http://eprints.utp.edu.my/11503/
Tags: Add Tag
No Tags, Be the first to tag this record!
id utp-eprints.11503
recordtype eprints
spelling utp-eprints.115032017-03-20T01:18:32Z Evaluation of Digital Speckle Filters for Ultrasound Images Radzi, Fara Nabila Yahya, Norashikin QA75 Electronic computers. Computer science Ultrasound (US) images are inherently corrupted by speckle noise causing inaccuracy of medical diagnosis using this technique. Hence, numerous despeckling filters are used to denoise US images. However most of the despeckling techniques cause blurring to the US images. In this work, four filters namely Lee, Wavelet Linear Minimum Mean Square Error (LMMSE), Speckle-reduction Anisotropic Diffusion (SRAD) and Non-localmeans (NLM) filters are evaluated in terms of their ability in noise removal. This is done through calculating four performance metrics Peak Signal to Noise Ratio (PSNR), Ultrasound Despeckling Assessment Index (USDSAI), Normalized Variance and Mean Preservation. The experiments were conducted on three different types of images which is simulated noise images, computer generated image and real US images. The evaluation in terms of PSNR, USDSAI, Normalized Variance and Mean Preservation shows that NLM filter is the best filter in all scenarios considering both speckle noise suppression and image restoration however with quite slow processing time. It may not be the best option of filter if speed is the priority during the image processing. Wavelet LMMSE filter is the next best performing filter after NLM filter with faster speed. 2014-11-28 Conference or Workshop Item NonPeerReviewed application/pdf http://eprints.utp.edu.my/11503/1/ID139.pdf application/pdf http://eprints.utp.edu.my/11503/7/ID139.pdf Radzi, Fara Nabila and Yahya, Norashikin (2014) Evaluation of Digital Speckle Filters for Ultrasound Images. In: 4th IEEE International Conference on Control Systems, Computing and Engineering (ICCSCE 2014), 28-30 November, Penang. http://eprints.utp.edu.my/11503/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Radzi, Fara Nabila
Yahya, Norashikin
Evaluation of Digital Speckle Filters for Ultrasound Images
description Ultrasound (US) images are inherently corrupted by speckle noise causing inaccuracy of medical diagnosis using this technique. Hence, numerous despeckling filters are used to denoise US images. However most of the despeckling techniques cause blurring to the US images. In this work, four filters namely Lee, Wavelet Linear Minimum Mean Square Error (LMMSE), Speckle-reduction Anisotropic Diffusion (SRAD) and Non-localmeans (NLM) filters are evaluated in terms of their ability in noise removal. This is done through calculating four performance metrics Peak Signal to Noise Ratio (PSNR), Ultrasound Despeckling Assessment Index (USDSAI), Normalized Variance and Mean Preservation. The experiments were conducted on three different types of images which is simulated noise images, computer generated image and real US images. The evaluation in terms of PSNR, USDSAI, Normalized Variance and Mean Preservation shows that NLM filter is the best filter in all scenarios considering both speckle noise suppression and image restoration however with quite slow processing time. It may not be the best option of filter if speed is the priority during the image processing. Wavelet LMMSE filter is the next best performing filter after NLM filter with faster speed.
format Conference or Workshop Item
author Radzi, Fara Nabila
Yahya, Norashikin
author_sort Radzi, Fara Nabila
title Evaluation of Digital Speckle Filters for Ultrasound Images
title_short Evaluation of Digital Speckle Filters for Ultrasound Images
title_full Evaluation of Digital Speckle Filters for Ultrasound Images
title_fullStr Evaluation of Digital Speckle Filters for Ultrasound Images
title_full_unstemmed Evaluation of Digital Speckle Filters for Ultrasound Images
title_sort evaluation of digital speckle filters for ultrasound images
publishDate 2014
url http://eprints.utp.edu.my/11503/1/ID139.pdf
http://eprints.utp.edu.my/11503/7/ID139.pdf
http://eprints.utp.edu.my/11503/
_version_ 1741196136439349248
score 11.62408

Similar Items