Parallel techniques for speckle noise reduction in medical ultrasound images
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http://hdl.handle.net/10045/109509
Title: | Parallel techniques for speckle noise reduction in medical ultrasound images |
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Authors: | Arnal, Josep | Mayzel, Ilya |
Research Group/s: | Computación de Altas Prestaciones y Paralelismo (gCAPyP) |
Center, Department or Service: | Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial |
Keywords: | Parallel computing | Medical ultrasound imaging | Noise reduction | Speckle noise | Speckle reduction |
Knowledge Area: | Ciencia de la Computación e Inteligencia Artificial |
Issue Date: | Oct-2020 |
Publisher: | Elsevier |
Citation: | Advances in Engineering Software. 2020, 148: 102867. https://doi.org/10.1016/j.advengsoft.2020.102867 |
Abstract: | Parallel computing is used to accelerate the computations in the reduction of speckle noise in medical ultrasound images. A new hybrid algorithm for speckle noise reduction in medical ultrasound images is proposed and compared to an existing efficient method. The method combines in an efficient manner the advantages of several denoising filters using local and non-local information. A comparative study is carried out using quantitative and qualitative measures and showing the competitiveness of the proposed method. Both methods are parallelized using OpenMP, and a hybrid combination of MPI and OpenMP. The parallel implementations are compared to the sequential ones, obtaining significative values of speedup. |
Sponsor: | This research was supported by the Spanish Ministry of Science, Innovation and Universities (Grant RTI2018-098156-B-C54) co-financed by FEDER funds. |
URI: | http://hdl.handle.net/10045/109509 |
ISSN: | 0965-9978 (Print) | 1873-5339 (Online) |
DOI: | 10.1016/j.advengsoft.2020.102867 |
Language: | eng |
Type: | info:eu-repo/semantics/article |
Rights: | © 2020 Elsevier Ltd. |
Peer Review: | si |
Publisher version: | https://doi.org/10.1016/j.advengsoft.2020.102867 |
Appears in Collections: | INV - gCAPyP - Artículos de Revistas |
Files in This Item:
File | Description | Size | Format | |
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Arnal_Mayzel_2020_AdvEngSoft_final.pdf | Versión final (acceso restringido) | 11,59 MB | Adobe PDF | Open Request a copy |
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