@InProceedings{ Ba2017.2,
author = {Basarab, Adrian and Rohrbach, Daniel and Zhao, Ningning and Tourneret, Jean-Yves and Kouam\'e, Denis and Mamou, Jonathan},
title = "{Enhancement of 250-MHz quantitative acoustic-microscopy data using a single-image super-resolution method (regular paper)}",
booktitle = "{IEEE International Symposium on Biomedical Imaging (ISBI 2017), Melbourne, 18/04/2017-21/04/2017}",
year = {2017},
month = {April},
publisher = {IEEE : Institute of Electrical and Electronics Engineers},
address = {http://www.ieee.org/},
pages = {827--830},
language = {anglais},
URL = {https://doi.org/10.1109/ISBI.2017.7950645 - https://oatao.univ-toulouse.fr/22041/},
abstract = {Scanning acoustic microscopy (SAM) is a well-accepted imaging modality for forming quantitative, two-dimensional maps of acoustic properties of soft tissues at microscopic scales. The quantitative maps formed using our
custom SAM system using a 250-MHz single-element transducer have a nominal resolution of 7$\mu$m, which is insufficient for some investigations. To enhance spatial resolution, a SAM system operating at even higher frequencies could
be designed, but associated costs and experimental difficulties are challenging. Therefore, the objective of this study is to evaluate the potential of super-resolution (SR) image processing to enhance the spatial resolution of
quantitative maps in SAM. To the best of our knowledge, this is the first attempt at using post-processing, image-enhancement techniques in SAM. Results of realistic simulations and experimental data acquired from a standard
resolution test pattern confirm the improved spatial resolution and the potential value of using SR in SAM.}
}

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The quantitative maps formed using our custom SAM system using a 250-MHz single-element transducer have a nominal resolution of 7$μ$m, which is insufficient for some investigations. To enhance spatial resolution, a SAM system operating at even higher frequencies could be designed, but associated costs and experimental difficulties are challenging. Therefore, the objective of this study is to evaluate the potential of super-resolution (SR) image processing to enhance the spatial resolution of quantitative maps in SAM. To the best of our knowledge, this is the first attempt at using post-processing, image-enhancement techniques in SAM. Results of realistic simulations and experimental data acquired from a standard resolution test pattern confirm the improved spatial resolution and the potential value of using SR in SAM.","bibtex":"@InProceedings{ Ba2017.2,\nauthor = {Basarab, Adrian and Rohrbach, Daniel and Zhao, Ningning and Tourneret, Jean-Yves and Kouam\\'e, Denis and Mamou, Jonathan},\ntitle = \"{Enhancement of 250-MHz quantitative acoustic-microscopy data using a single-image super-resolution method (regular paper)}\",\nbooktitle = \"{IEEE International Symposium on Biomedical Imaging (ISBI 2017), Melbourne, 18/04/2017-21/04/2017}\",\nyear = {2017},\nmonth = {April},\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\naddress = {http://www.ieee.org/},\npages = {827--830},\nlanguage = {anglais},\nURL = {https://doi.org/10.1109/ISBI.2017.7950645 - https://oatao.univ-toulouse.fr/22041/},\nabstract = {Scanning acoustic microscopy (SAM) is a well-accepted imaging modality for forming quantitative, two-dimensional maps of acoustic properties of soft tissues at microscopic scales. The quantitative maps formed using our\ncustom SAM system using a 250-MHz single-element transducer have a nominal resolution of 7$\\mu$m, which is insufficient for some investigations. To enhance spatial resolution, a SAM system operating at even higher frequencies could\nbe designed, but associated costs and experimental difficulties are challenging. Therefore, the objective of this study is to evaluate the potential of super-resolution (SR) image processing to enhance the spatial resolution of\nquantitative maps in SAM. To the best of our knowledge, this is the first attempt at using post-processing, image-enhancement techniques in SAM. Results of realistic simulations and experimental data acquired from a standard\nresolution test pattern confirm the improved spatial resolution and the potential value of using SR in SAM.}\n}\n","author_short":["Basarab, A.","Rohrbach, D.","Zhao, N.","Tourneret, J.","Kouamé, D.","Mamou, J."],"key":"Ba2017.2","id":"Ba2017.2","bibbaseid":"basarab-rohrbach-zhao-tourneret-kouam-mamou-enhancementof250mhzquantitativeacousticmicroscopydatausingasingleimagesuperresolutionmethodregularpaper-2017","role":"author","urls":{"Paper":"https://doi.org/10.1109/ISBI.2017.7950645 - https://oatao.univ-toulouse.fr/22041/"},"metadata":{"authorlinks":{"kouamé, d":"https://bibbase.org/show?bib=https%3A%2F%2Fwww.irit.fr%2F%7EDenis.Kouame%2Fwp-content%2Fuploads%2Fsites%2F16%2F2023%2F12%2Fpubli_dk_Decembre2023.bib&commas=true&msg=embed&noBootstrap=1","kouam�, d":"https://bibbase.org/show?bib=https%3A%2F%2Fwww.irit.fr%2F%7EDenis.Kouame%2Fwp-content%2Fuploads%2Fsites%2F16%2F2020%2F08%2Fpubli_dk_pc.bib&msg=embed"}},"downloads":0},"bibtype":"inproceedings","biburl":"https://bibbase.org/network/files/bvJMWi3fKm93LyCPk","creationDate":"2020-05-26T13:10:17.112Z","downloads":0,"keywords":[],"search_terms":["enhancement","250","mhz","quantitative","acoustic","microscopy","data","using","single","image","super","resolution","method","regular","paper","basarab","rohrbach","zhao","tourneret","kouamé","mamou"],"title":"Enhancement of 250-MHz quantitative acoustic-microscopy data using a single-image super-resolution method (regular paper)","year":2017,"dataSources":["Enx5RbCYciqEa6zSE","oPvGbHvob6WDgSWSe","Ryxae6RgTenGcjg3E","3kvrPfJzi8tTnkCKu","ZP9Cm4xcHLMPzRbsw","BjuDhWDuYGoZ5Yxhc","L6xxxS29ikeRQS5yM","qj8D6CkroqAiZww2p","ammkpiTjv93R88jNJ","xjsywQmEcoyeGgrGH","J5cbtYq6pQvAHmgjz"]}