Motion model ultrasound localization microscopy for preclinical and clinical multiparametric tumor characterization

The vascular structure of tumors impacts diagnosis, prognosis and drug response; however, imaging methods to analyse this important feature have been hindered by spatial resolution limitations. Here the authors present a tool called motion model ultrasound localization microscopy to morphologically...

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Autores principales:	Tatjana Opacic, Stefanie Dencks, Benjamin Theek, Marion Piepenbrock, Dimitri Ackermann, Anne Rix, Twan Lammers, Elmar Stickeler, Stefan Delorme, Georg Schmitz, Fabian Kiessling
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/747bc0f1af124078babc166c0f25b3bc
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spelling	oai:doaj.org-article:747bc0f1af124078babc166c0f25b3bc2021-12-02T15:34:00ZMotion model ultrasound localization microscopy for preclinical and clinical multiparametric tumor characterization10.1038/s41467-018-03973-82041-1723https://doaj.org/article/747bc0f1af124078babc166c0f25b3bc2018-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-03973-8https://doaj.org/toc/2041-1723The vascular structure of tumors impacts diagnosis, prognosis and drug response; however, imaging methods to analyse this important feature have been hindered by spatial resolution limitations. Here the authors present a tool called motion model ultrasound localization microscopy to morphologically and functionally characterize fine vascular networks in tumors at super-resolution.Tatjana OpacicStefanie DencksBenjamin TheekMarion PiepenbrockDimitri AckermannAnne RixTwan LammersElmar StickelerStefan DelormeGeorg SchmitzFabian KiesslingNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-13 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Tatjana Opacic Stefanie Dencks Benjamin Theek Marion Piepenbrock Dimitri Ackermann Anne Rix Twan Lammers Elmar Stickeler Stefan Delorme Georg Schmitz Fabian Kiessling Motion model ultrasound localization microscopy for preclinical and clinical multiparametric tumor characterization
description	The vascular structure of tumors impacts diagnosis, prognosis and drug response; however, imaging methods to analyse this important feature have been hindered by spatial resolution limitations. Here the authors present a tool called motion model ultrasound localization microscopy to morphologically and functionally characterize fine vascular networks in tumors at super-resolution.
format	article
author	Tatjana Opacic Stefanie Dencks Benjamin Theek Marion Piepenbrock Dimitri Ackermann Anne Rix Twan Lammers Elmar Stickeler Stefan Delorme Georg Schmitz Fabian Kiessling
author_facet	Tatjana Opacic Stefanie Dencks Benjamin Theek Marion Piepenbrock Dimitri Ackermann Anne Rix Twan Lammers Elmar Stickeler Stefan Delorme Georg Schmitz Fabian Kiessling
author_sort	Tatjana Opacic
title	Motion model ultrasound localization microscopy for preclinical and clinical multiparametric tumor characterization
title_short	Motion model ultrasound localization microscopy for preclinical and clinical multiparametric tumor characterization
title_full	Motion model ultrasound localization microscopy for preclinical and clinical multiparametric tumor characterization
title_fullStr	Motion model ultrasound localization microscopy for preclinical and clinical multiparametric tumor characterization
title_full_unstemmed	Motion model ultrasound localization microscopy for preclinical and clinical multiparametric tumor characterization
title_sort	motion model ultrasound localization microscopy for preclinical and clinical multiparametric tumor characterization
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/747bc0f1af124078babc166c0f25b3bc
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Motion model ultrasound localization microscopy for preclinical and clinical multiparametric tumor characterization

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