Tanter Mickael

Tanter Mickael

Director of Physics for Medicine Paris
Research director at Inserm (DRCE)
mickael.tanter@espci.fr
ResearcherID: H-4657-2012
ORCID: 0000-0001-7739-8051
See the ResearchGate profile >

Education

  • 2004 – “Habilitation à Diriger des Recherches”, Université Paris Diderot, France
  • 1999 – PhD in Physics, Université Paris Diderot, France
    “Application of time reversal focusing to brain HIFU treatments”
  • 1994 – Master of Science in Acoustics, Université Paris Diderot, France
  • 1994 – Electrical engineering degree at Supélec (Ecole Supérieure d’Electricité), France

Professional experience

  • since 2005 – Tenured research director, Inserm, Paris, France
  • 2019-2024 – Director of Institute Physics for Medicine Paris (Inserm U1273, ESPCI Paris-PSL, CNRS UMR 8063)
  • 2008-2018 – Director of Inserm U979 “Wave Physics for Medicine”, a research  unit within Institut Langevin, Paris, France
  • 2009-2018 – Deputy director of Institut Langevin, Paris, France
  • 2000-2005 – Tenured research officer, CNRS, Paris, France

Activities and Responsabilities

  • Director of the Institute of Physics for Medicine Paris (Inserm U1273, CNRS UMR 8063, ESPCI Paris)
  • Director of the Accelerator of Technology Research (A.R.T. Inserm) in Biomedical Ultrasound
  • Deputy Director of the Langevin Institute (CNRS UMR7587) from 2014 to 2019
  • Co-Founder and Shareholder of SEISME inc. in 2000 (licencing the exclusive world patent of Fibroscan®)
  • Co-Founder and Share Holder of SUPERSONIC IMAGINE inc. in 2005 (200 employees)
  • Co-Founder and Shareholder of CARDIAWAVE inc. in 2015
  • Co-Founder and Shareholder of ICONEUS inc. in 2017
  • Co-Founder and Shareholder of EMYOSOUND inc. in 2022
  • Member of the Administration Board of European Society of Molecular Imaging
  • Associate Editor of IEEE Transactions of Ultrasonics, Ferroelectrics and Frequency Control
  • Member of the Scientific Board of Region Ile de France 2011-2015
  • Member of the Scientific Board of Caviskills company 2013-2014
  • Member of the Scientific Board of IEEE UFFC since 2009
  • Elected Member of the Administrative board of IEEE UFFC 2012-2015
  • Member of the Inserm Commission CSS8 (2012-2016)
  • Member of the Brain Advisory Board of the Focused Ultrasound Foundation (2009-2012)
  • Invited to give more than 150 invited talks and plenary lectures in international conferences
  • Co-invented more than 50 patent families in the field of biomedical engineering
  • Co-authored more than 400 publications in peer-reviewed international journals
  • Google Scholar : h-Index 106, > 45 000 citations  /  ISI Web of Knowledge : h-Index 91, > 32 000 citations
  • Participation to more than 100 jurys for national or international PhD defense

Main Awards and Distinctions  

  • since 2025 – Elected Member of the French Academy of Science
  • 2023 – Ambassador’s Professor Chair of Katholieke Universiteit Leuven Kulak, Belgium
  • 2023 – Laureate of an ERC Synergy Grant (Project NeuroSonoGene)
  • 2022 – Gordon Moore Professor of the California Institute of Technology (CalTech), USA
  • 2022 – Boehraave Professor Distinction of Leiden University, Netherlands
  • 2022 – Ambassadeur France 2030 pour l’Enseignement Supérieur et la Recherche
  • 2019 – Rotblat Prize of Physics for Medicine and Biology journal for the most cited publication in Physics for Medicine in the last 5 years
  • since 2019 – Elected Member of the European Academy of Science
  • since 2019 – Fellow of the European Alliance for Medical and Biological Engineering & Science
  • 2018 – Grand Prize of the European Society for Molecular Imaging
  • 2017 – Britton Chance Distinguished Lecture of the World Society for Molecular Imaging, USA
  • 2017 – Carl Hellmuth Hertz Award of the IEEE society for Ultrasonics, Ferroelectrics and Frequency Control
  • since 2016 – Distinguished Professor of ESPCI Paris
  • 2016 – Grand Prix of the French Foundation for Medical Research (FRM)
  • 2015 – Grand Prize of the Fondation NRJ, Institut de France, French Academy of Science
  • 2015 – Distinguished Lecture in Biomedical Engineering of CalTech university
  • 2015 – Carson-Zagzebski Distinguished Lecture of the American Association of Physics in Medicine
  • 2015 – Research Prize of Langlois Foundation, Paris, France
  • 2015 – Outstanding Paper Award of the international journal IEEE Transactions in Ultrasonics
  • 2015 – Prize of the fondation pour l’innovation thérapeutique Béatrice Denys (project Valvopulse)
  • 2014 – Roberts Prize of Physics in Medicine and Biology for the best paper of the year

Main publications

151195 {151195:DDK87VN9},{151195:ZV3HIJJG},{151195:TJKY2FWW},{151195:8V9QIRVA},{151195:6IIFLPBH},{151195:ZWLAWAHS} 1 national-institute-of-health-research 50 date desc 7226 https://blog.espci.fr/physmed/wp-content/plugins/zotpress/

Latest publications

4989618 94NJIV78 tanter 1 national-institute-of-health-research 6 date desc 7226 https://blog.espci.fr/physmed/wp-content/plugins/zotpress/
%7B%22status%22%3A%22success%22%2C%22updateneeded%22%3Afalse%2C%22instance%22%3Afalse%2C%22meta%22%3A%7B%22request_last%22%3A0%2C%22request_next%22%3A0%2C%22used_cache%22%3Atrue%7D%2C%22data%22%3A%5B%7B%22key%22%3A%227QUBBIP9%22%2C%22library%22%3A%7B%22id%22%3A4989618%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Meki%20et%20al.%22%2C%22parsedDate%22%3A%222026-10-01%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1%26lt%3B%5C%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BMeki%20T%2C%20Pedreira%20O%2C%20Papaddaci%20C%2C%20Tanter%20M%2C%20Messas%20E%2C%20Pernot%20M.%20Quantitative%20assessment%20of%20regional%20myocardial%20stiffness%20and%20anisotropy%20using%203D%20Shear%20Wave%20Elastography.%20%26lt%3Bi%26gt%3BEur%20Heart%20J%26lt%3B%5C%2Fi%26gt%3B%202026%3B%26lt%3Bb%26gt%3B47%26lt%3B%5C%2Fb%26gt%3B%3Aehag785.002.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-ItemURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1093%5C%2Feurheartj%5C%2Fehag785.002%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1093%5C%2Feurheartj%5C%2Fehag785.002%26lt%3B%5C%2Fa%26gt%3B.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Quantitative%20assessment%20of%20regional%20myocardial%20stiffness%20and%20anisotropy%20using%203D%20Shear%20Wave%20Elastography%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22T%22%2C%22lastName%22%3A%22Meki%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22O%22%2C%22lastName%22%3A%22Pedreira%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22C%22%2C%22lastName%22%3A%22Papaddaci%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22M%22%2C%22lastName%22%3A%22Tanter%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22E%22%2C%22lastName%22%3A%22Messas%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22M%22%2C%22lastName%22%3A%22Pernot%22%7D%5D%2C%22abstractNote%22%3A%22Myocardial%20stiffness%20is%20a%20crucial%20indicator%20of%20cardiac%20biomechanics%20and%20diastolic%20function.%20Its%20assessment%20is%20complicated%20by%20the%20myocardium%26%23039%3Bs%20complex%203D%20fiber%20architecture%20and%20the%20resulting%20anisotropic%20mechanical%20behavior.%20Current%202D%20shear%20wave%20elastography%20%28SWE%29%20measures%20stiffness%20in%20an%20indeterminate%20direction%20relative%20to%20fiber%20orientation%2C%20leading%20to%20variability%20and%20diagnostic%20uncertainty.%20We%20introduce%20a%20novel%20clinical%20modality%20based%20on%20real-time%203D-SWE%20to%20quantitatively%20assess%20diastolic%20stiffness%20in%20complex%20anisotropic%20tissue%2C%20aiming%20to%20demonstrate%20its%20feasibility%20in%20healthy%20volunteers%20%28HVs%29.A%20custom%20ultrasound%20system%20for%203D-SWE%20was%20developed%20using%20a%20matrix%20transducer.%20It%20remotely%20generates%20a%20shear%20wave%20via%20the%20acoustic%20radiation%20force%20and%20tracks%20its%203D%20propagation%20using%20ultrafast%20volumetric%20imaging%20%283%2C000%20volumes%5C%2Fs%29%20%28Fig%20A%29.%20%29.%20Shear%20wave%20velocity%20%28SWV%29%20is%20measured%20within%20a%2010x16x16%20mm%5Cu00b3%20myocardial%20volume%2C%20where%20the%20long%20axis%20of%20the%20SWV%20profile%20directly%20quantifies%20stiffness%20along%20the%20myocardial%20fibers.%20In%20vivo%20acquisitions%20were%20ECG-triggered%20during%20diastole%20and%20guided%20by%20real-time%202D%20B-mode%20imaging.%20Following%20standard%20validation%20on%20calibrated%20phantoms%20against%20a%20commercial%202D-SWE%20system%2C%20an%20in%20vivo%20study%20was%20conducted%20on%2010%20HVs%20%28age%2032%5Cu00b18%20years%29.%20Measurements%20targeted%20the%20basal%20anteroseptal%20%28AS%29%20segment%2C%20the%20RV%20free%20wall%20in%20the%20parasternal%20long-axis%20and%20short%20axis%20view%20and%20the%20apex%20in%20apical%20view.Phantom%20validation%20demonstrated%20high%20accuracy%20and%20reliability%20%28R%5Cu00b2%20%3D%200.95%2C%20standard%20deviation%20%3D%205.20%25%29.%20In%20vivo%2C%203D%20shear%20wave%20propagation%20was%20successfully%20observed%20and%20tracked%20in%20all%2010%20HVs%20and%20all%20the%20targeted%20myocardial%20segments.%20Analysis%20of%20the%20anisotropic%2C%20elliptical%20velocity%20profile%20at%20the%20mid-wall%20level%20yielded%20robust%20quantitative%20measurements.%20The%20median%20SWV%20along%20the%20myocardial%20fibers%20in%20the%20AS%20segment%20was%201.74%20m%5C%2Fs%20%28interquartile%20range%3A%201.59%5Cu20131.90%20m%5C%2Fs%29.%20The%20modality%20showed%20excellent%20reproducibility%2C%20with%20an%20intra-individual%20variability%20of%204.66%25%20across%20five%20repeated%20acquisitions%20per%20subject.Real-time%203D-SWE%20is%20a%20feasible%20and%20highly%20reproducible%20novel%20modality%20for%20the%20quantitative%20assessment%20of%20myocardial%20stiffness%20in%20humans.%20By%20overcoming%20the%20directional%20limitations%20of%202D-SWE%2C%20this%20technique%20enables%20accurate%2C%20fiber-specific%20stiffness%20evaluation%2C%20paving%20the%20way%20for%20improved%20non-invasive%20diagnostics%20in%20cardiomyopathies%20and%20diastolic%20dysfunction.3D%20SWE%20Technology%22%2C%22date%22%3A%222026-10-01%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1093%5C%2Feurheartj%5C%2Fehag785.002%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1093%5C%2Feurheartj%5C%2Fehag785.002%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%220195-668X%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%2294NJIV78%22%5D%2C%22dateModified%22%3A%222026-11-02T11%3A30%3A18Z%22%7D%7D%2C%7B%22key%22%3A%225D5H84XU%22%2C%22library%22%3A%7B%22id%22%3A4989618%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Meki%20et%20al.%22%2C%22parsedDate%22%3A%222026-10-01%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1%26lt%3B%5C%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BMeki%20T%2C%20Zaroui%20A%2C%20Pedreira%20O%2C%20Kharoubi%20M%2C%20Lacoste-Badie%20R%2C%20Papadacci%20C%2C%20%26lt%3Bi%26gt%3Bet%20al.%26lt%3B%5C%2Fi%26gt%3B%20Real-time%203D%20shear%20wave%20elastography%20discriminates%20ATTR%20cardiac%20amyloidosis%20in%20patients%20with%20left%20ventricular%20hypertrophy.%20%26lt%3Bi%26gt%3BEur%20Heart%20J%26lt%3B%5C%2Fi%26gt%3B%202026%3B%26lt%3Bb%26gt%3B47%26lt%3B%5C%2Fb%26gt%3B%3Aehag785.1259.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-ItemURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1093%5C%2Feurheartj%5C%2Fehag785.1259%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1093%5C%2Feurheartj%5C%2Fehag785.1259%26lt%3B%5C%2Fa%26gt%3B.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Real-time%203D%20shear%20wave%20elastography%20discriminates%20ATTR%20cardiac%20amyloidosis%20in%20patients%20with%20left%20ventricular%20hypertrophy%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22T%22%2C%22lastName%22%3A%22Meki%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A%22%2C%22lastName%22%3A%22Zaroui%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22O%22%2C%22lastName%22%3A%22Pedreira%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22M%22%2C%22lastName%22%3A%22Kharoubi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22R%22%2C%22lastName%22%3A%22Lacoste-Badie%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22C%22%2C%22lastName%22%3A%22Papadacci%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22M%22%2C%22lastName%22%3A%22Tanter%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22E%22%2C%22lastName%22%3A%22Messas%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22T%22%2C%22lastName%22%3A%22Damy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22M%22%2C%22lastName%22%3A%22Pernot%22%7D%5D%2C%22abstractNote%22%3A%22ATTR%20Cardiac%20amyloidosis%20%28ATTR-CA%29%20results%20from%20myocardial%20amyloid%20fibril%20deposition%2C%20leading%20to%20increased%20myocardial%20stiffness%20%28MS%29%20and%20diastolic%20dysfunction.%20We%20developed%20a%20novel%20ultrasound%20based%20technique%2C%20transthoracic%203D%20shear%20wave%20elastography%20%28SWE%29%2C%20to%20generate%20and%20track%20shear%20wave%20propagation%20with%203D%20ultrafast%20imaging%20using%20a%20custom%20matrix%20probe%20%28Fig.%20A%29%2C%20enabling%20quantitative%20assessment%20of%20MS%20through%20shear%20wave%20velocity%20%28SWV%29.%20This%20study%20aims%20to%20evaluate%20the%20value%20of%20cardiac%203D-SWE%20for%20ATTR-CA%20screening%20in%20patients%20with%20left%20ventricular%20hypertrophy%20%28LVH%29%20referred%20for%20suspected%20CA.A%20total%20of%20107%20patients%20with%20Left%20ventricular%20Hypertrophy%20%28%26gt%3B12mm%29%20and%20referred%20for%20suspected%20CA%20underwent%20comprehensive%20clinical%20evaluation%2C%20including%20echocardiography%2C%20bone%20scintigraphy%2C%20tissue%20biopsy%2C%20blood%20testing%2C%20and%203D-SWE.%20For%20each%20target%20myocardial%20segment%2C%20ten%203D-SWE%20measurements%20were%20obtained%3A%20the%20right%20ventricular%20%28RV%29%20anterior%20free%20wall%2C%20the%20basal%20anteroseptal%20%28AS%29%20wall%20in%20the%20parasternal%20long-axis%20view%2C%20and%20the%20apex%20in%20the%20apical%20four-chamber%20view.%20SWV%20was%20assessed%20during%20diastasis%20using%20ECG%20synchronization%20within%20a%20myocardial%20volume%20of%2010x16x16%20mm%5Cu00b3%20in%20all%20segments.Based%20on%20gold-standard%20reference%20evaluation%2C%20the%20cohort%20of%20107%20patients%20was%20classified%20into%3A%2049%20with%20ATTR-CA%20%2879%5Cu00b18%20years%29%3B%2053%20non-ATTR%20patients%2C%20comprising%2027%20with%20AL-CA%20%2864%5Cu00b19%20years%29%20and%2026%20non-amyloid%20patients%20%2863%5Cu00b114%20years%29%3B%204%20with%20non-typable%20CA%20%2887%5Cu00b18%20years%29%3B%20and%201%20with%20suspected%20CA%20%2870%20years%29.%20Standard%20echocardiographic%20parameters%2C%20including%20LV%20thickness%2C%20remodeling%20indices%2C%20and%20strain%2C%20failed%20to%20reliably%20discriminate%20ATTR-CA%20patients%20from%20the%20rest%20of%20the%20cohort.%20Conversely%2C%20SWV%20was%20significantly%20higher%20in%20ATTR-CA%20patients%20compared%20to%20non-ATTR%20patients%20in%20both%20the%20AS%20wall%20%28p%26lt%3B0.001%29%20and%20RV%20free%20wall%20%28p%26lt%3B0.001%29%2C%20though%20not%20at%20the%20apex.%20A%20multiparametric%20diagnostic%20algorithm%20combining%20patient%20age%2C%20NT-proBNP%20levels%2C%20and%20median%20SWV%20in%20the%20AS%20and%20RV%20walls%20was%20able%20to%20classify%20ATTR-CA%20patients%20with%20a%20sensitivity%20of%2098%25%20and%20a%20specificity%20of%20100%25%20within%20this%20cohort.Real-time%203D-SWE%20measurements%20identified%20ATTR-CA%20in%20patients%20with%20LVH%20referred%20for%20suspected%20CA%20with%20excellent%20accuracy.%20Standard%20echocardiography%20could%20not%20reliably%20descriminate%20ATTR-CA%2C%20highlighting%203D-SWE%26%23039%3Bs%20potential%20as%20an%20advanced%2C%20non-invasive%20tool%20for%20targeted%20CA%20screening%2C%20diagnosis%2C%20and%20follow-up.Myocardial%20Stiffness%20of%20ATTR-CA%22%2C%22date%22%3A%222026-10-01%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1093%5C%2Feurheartj%5C%2Fehag785.1259%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1093%5C%2Feurheartj%5C%2Fehag785.1259%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%220195-668X%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%2294NJIV78%22%5D%2C%22dateModified%22%3A%222026-11-02T11%3A30%3A01Z%22%7D%7D%2C%7B%22key%22%3A%22JL64DFVD%22%2C%22library%22%3A%7B%22id%22%3A4989618%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Meki%20et%20al.%22%2C%22parsedDate%22%3A%222026-10-01%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1%26lt%3B%5C%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BMeki%20T%2C%20Zaroui%20A%2C%20Pedreira%20O%2C%20Kharoubi%20M%2C%20Lacoste-Badie%20R%2C%20Papadacci%20C%2C%20%26lt%3Bi%26gt%3Bet%20al.%26lt%3B%5C%2Fi%26gt%3B%20Myocardial%20stiffness%20assessed%20by%20real-time%203D%20shear%20wave%20elastography%20discriminates%20accurately%20ATTR%20from%20AL%20cardiac%20amyloidosis.%20%26lt%3Bi%26gt%3BEur%20Heart%20J%26lt%3B%5C%2Fi%26gt%3B%202026%3B%26lt%3Bb%26gt%3B47%26lt%3B%5C%2Fb%26gt%3B%3Aehag785.074.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-ItemURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1093%5C%2Feurheartj%5C%2Fehag785.074%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1093%5C%2Feurheartj%5C%2Fehag785.074%26lt%3B%5C%2Fa%26gt%3B.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Myocardial%20stiffness%20assessed%20by%20real-time%203D%20shear%20wave%20elastography%20discriminates%20accurately%20ATTR%20from%20AL%20cardiac%20amyloidosis%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22T%22%2C%22lastName%22%3A%22Meki%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A%22%2C%22lastName%22%3A%22Zaroui%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22O%22%2C%22lastName%22%3A%22Pedreira%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22M%22%2C%22lastName%22%3A%22Kharoubi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22R%22%2C%22lastName%22%3A%22Lacoste-Badie%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22C%22%2C%22lastName%22%3A%22Papadacci%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22M%22%2C%22lastName%22%3A%22Tanter%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22E%22%2C%22lastName%22%3A%22Messas%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22T%22%2C%22lastName%22%3A%22Damy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22M%22%2C%22lastName%22%3A%22Pernot%22%7D%5D%2C%22abstractNote%22%3A%22Cardiac%20amyloidosis%20%28CA%29%20results%20from%20myocardial%20amyloid%20deposition%2C%20causing%20increased%20stiffness%20and%20diastolic%20dysfunction.%20Differentiating%20the%20two%20main%20types%2C%20Light-Chain%20%28AL%29%20and%20Transthyretin%20%28ATTR%29%2C%20is%20critical%3A%20ATTR%20progresses%20slowly%20and%20responds%20to%20targeted%20therapies%2C%20whereas%20AL%20is%20rapidly%20progressive%2C%20directly%20cardiotoxic%2C%20and%20requires%20urgent%20chemotherapy.%20Currently%2C%20standard%20echocardiography%20cannot%20reliably%20differentiate%20AL%20from%20ATTR-CA.%20We%20hypothesized%20that%20myocardial%20stiffness%2C%20quantitatively%20assessed%20using%20transthoracic%203D%20shear%20wave%20elastography%20%283D-SWE%29%2C%20can%20distinguish%20between%20these%20etiologies.72%20patients%20with%20confirmed%20CA%20underwent%20echocardiography%2C%20bone%20scintigraphy%2C%20biopsy%2C%20blood%20tests%2C%20and%203D-SWE%20at%20a%20Hospital%20%28France%29.%20Ten%203D-SWE%20acquisitions%20were%20performed%20per%20target%20myocardial%20segments%3A%20the%20anterior%20free%20wall%20of%20the%20right%20ventricle%20%28RV%29%2C%20the%20basal%20anteroseptal%20%28AS%29%20wall%20in%20the%20parasternal%20long-axis%20view%2C%20and%20the%20apex%20in%20the%20apical%20four-chamber%20view.%20Shear%20wave%20velocity%20%28SWV%29%20was%20quantified%20within%20a%2010x16x16%20mm%5Cu00b3%20myocardial%20volume%20of%20each%20segment%20during%20diastasis%20using%20ECG%20gating%20%28Fig%20A%29.The%20cohort%20comprised%2044%20patients%20with%20ATTR-CA%20%2880%5Cu00b17%20years%29%2C%2024%20with%20AL-CA%20%2866%5Cu00b110%20years%29%2C%20and%204%20with%20non-typable%20CA%20%2887%5Cu00b18%20years%29%20based%20on%20standard%20diagnostic%20criteria.%20All%20patients%20successfully%20underwent%203D-SWE%20scanning.%20While%20standard%20echocardiographic%20parameters%20failed%20to%20discriminate%20between%20the%20AL%20and%20ATTR%20groups%2C%20SWV%20was%20significantly%20higher%20in%20ATTR-CA%20compared%20to%20AL-CA%20patients%20in%20both%20the%20AS%20wall%20%28p%26lt%3B0.001%29%20and%20RV%20free%20wall%20%28p%26lt%3B0.001%29%2C%20though%20not%20at%20the%20apex.%20A%20multiparametric%20diagnostic%20algorithm%20combining%20patient%20age%2C%20NT-proBNP%20levels%2C%20and%20median%20SWV%20in%20the%20AS%20and%20RV%20walls%20successfully%20classified%20all%20typable%20patients%2C%20achieving%20100%25%20sensitivity%20and%20100%25%20specificity%20within%20this%20cohort.Myocardial%20stiffness%20measured%20by%203D-SWE%20can%20accurately%20discriminate%20between%20ATTR%20and%20AL%20cardiac%20amyloidosis%2C%20overcoming%20the%20limitations%20of%20standard%20echocardiography.%20This%20non-invasive%20approach%20demonstrates%20excellent%20accuracy%20and%20holds%20tremendous%20promise%20as%20a%20front-line%20tool%20for%20expediting%20type-specific%20CA%20diagnosis%20and%20monitoring.Myocardial%20stiffness%20of%20AL%20and%20ATTR%20CA%22%2C%22date%22%3A%222026-10-01%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1093%5C%2Feurheartj%5C%2Fehag785.074%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1093%5C%2Feurheartj%5C%2Fehag785.074%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%220195-668X%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%2294NJIV78%22%5D%2C%22dateModified%22%3A%222026-11-02T11%3A29%3A08Z%22%7D%7D%2C%7B%22key%22%3A%22TGNQEL44%22%2C%22library%22%3A%7B%22id%22%3A4989618%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Cazzanelli%20et%20al.%22%2C%22parsedDate%22%3A%222026-09-23%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1%26lt%3B%5C%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BCazzanelli%20S%2C%20Le%20Meur-Diebolt%20S%2C%20Baranger%20J%2C%20Travert-Jouanneau%20Y%2C%20Eglin%20L%2C%20Yalcin%20I%2C%20%26lt%3Bi%26gt%3Bet%20al.%26lt%3B%5C%2Fi%26gt%3B%20Large-scale%20functional%20brain%20network%20organization%20is%20largely%20preserved%20in%20neuropathic%20pain%20despite%20selective%20circuit-level%20adaptations.%20%26lt%3Bi%26gt%3BCommun%20Biol%26lt%3B%5C%2Fi%26gt%3B%202026.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fs42003-026-10922-5%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fs42003-026-10922-5%26lt%3B%5C%2Fa%26gt%3B.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Large-scale%20functional%20brain%20network%20organization%20is%20largely%20preserved%20in%20neuropathic%20pain%20despite%20selective%20circuit-level%20adaptations%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Silvia%22%2C%22lastName%22%3A%22Cazzanelli%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Samuel%22%2C%22lastName%22%3A%22Le%20Meur-Diebolt%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22J%5Cu00e9rome%22%2C%22lastName%22%3A%22Baranger%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Youenn%22%2C%22lastName%22%3A%22Travert-Jouanneau%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Luc%22%2C%22lastName%22%3A%22Eglin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ipek%22%2C%22lastName%22%3A%22Yalcin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Adrien%22%2C%22lastName%22%3A%22Bertolo%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Dizeux%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nathalie%22%2C%22lastName%22%3A%22Ialy-Radio%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Thomas%22%2C%22lastName%22%3A%22Deffieux%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mickael%22%2C%22lastName%22%3A%22Tanter%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Bruno%20Felix%22%2C%22lastName%22%3A%22Osmanski%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jeremy%22%2C%22lastName%22%3A%22Ferrier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sophie%22%2C%22lastName%22%3A%22Pezet%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222026-09-23%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1038%5C%2Fs42003-026-10922-5%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.nature.com%5C%2Farticles%5C%2Fs42003-026-10922-5%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%222399-3642%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%2294NJIV78%22%5D%2C%22dateModified%22%3A%222026-09-29T14%3A37%3A50Z%22%7D%7D%2C%7B%22key%22%3A%2222I86XWU%22%2C%22library%22%3A%7B%22id%22%3A4989618%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Papadacci%20et%20al.%22%2C%22parsedDate%22%3A%222026-09-18%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1%26lt%3B%5C%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BPapadacci%20C%2C%20Provost%20J%2C%20Tang%20M-X%2C%20Dizeux%20A%2C%20Song%20P%2C%20Tanter%20M%2C%20%26lt%3Bi%26gt%3Bet%20al.%26lt%3B%5C%2Fi%26gt%3B%204D%20Ultrafast%20Ultrasound%3A%20the%20next%20revolution%20in%20biomedical%20imaging.%20%26lt%3Bi%26gt%3BIEEE%20Trans%20Ultrason%26lt%3B%5C%2Fi%26gt%3B%202026%3B%26lt%3Bb%26gt%3BPP%26lt%3B%5C%2Fb%26gt%3B%3A%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1109%5C%2FTUSON.2026.3735239%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1109%5C%2FTUSON.2026.3735239%26lt%3B%5C%2Fa%26gt%3B.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%224D%20Ultrafast%20Ultrasound%3A%20the%20next%20revolution%20in%20biomedical%20imaging%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Clement%22%2C%22lastName%22%3A%22Papadacci%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jean%22%2C%22lastName%22%3A%22Provost%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Meng-Xing%22%2C%22lastName%22%3A%22Tang%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Dizeux%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Pengfei%22%2C%22lastName%22%3A%22Song%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mickael%22%2C%22lastName%22%3A%22Tanter%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Beatrice%22%2C%22lastName%22%3A%22Berthon%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alessandro%22%2C%22lastName%22%3A%22Ramalli%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Piero%22%2C%22lastName%22%3A%22Tortoli%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Pieter%22%2C%22lastName%22%3A%22Kruizinga%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lasse%22%2C%22lastName%22%3A%22Lovstakken%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Thomas%22%2C%22lastName%22%3A%22Deffieux%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mathieu%22%2C%22lastName%22%3A%22Pernot%22%7D%5D%2C%22abstractNote%22%3A%22Four-dimensional%20ultrafast%20ultrasound%20imaging%20is%20emerging%20as%20a%20major%20paradigm%20shift%20in%20biomedical%20imaging%20by%20enabling%20the%20direct%20visualization%20and%20quantification%20of%20dynamic%20physiological%20processes%20in%20three-dimensional%20space%20over%20time.%20This%20review%20provides%20a%20comprehensive%20overview%20of%20the%20principles%2C%20technological%20developments%2C%20and%20applications%20that%20underpin%20this%20rapidly%20evolving%20field.%20We%20first%20describe%20the%20foundations%20of%20volumetric%20ultrafast%20acquisition%20based%20on%20unfocused%20wave%20transmissions%20and%20coherent%20compounding%2C%20followed%20by%20key%20advances%20in%20volumetric%20beamforming%2C%20motion%20estimation%2C%20Doppler%20imaging%2C%20elastography%2C%20and%20ultrasound%20localization%20microscopy.%20Particular%20emphasis%20is%20placed%20on%20the%20hardware%20challenges%20associated%20with%20matrix%20array%20transducers%2C%20including%20channel%20count%20limitations%2C%20data%20throughput%2C%20and%20emerging%20solutions%20such%20as%20microbeamforming%2C%20sparse%20arrays%2C%20row-column%20addressing%2C%20and%20wearable%20probes.%20We%20further%20highlight%20the%20critical%20role%20of%20high-performance%20computing%20and%20artificial%20intelligence%20in%20enabling%20real-time%20processing%20and%20analysis%20of%20large%20volumetric%20datasets.%20Beyond%20acquisition%20and%20reconstruction%2C%20this%20review%20underscores%20the%20importance%20of%20advanced%20visualization%20and%20quantification%20strategies%20as%20essential%20tools%20for%20extracting%20meaningful%20information%20from%20complex%204D%20data.%20Applications%20ranging%20from%20in%20vitro%20validation%20to%20preclinical%20and%20early%20clinical%20studies%20in%20cardiovascular%2C%20neurovascular%2C%20and%20abdominal%20imaging%20demonstrate%20the%20unique%20capabilities%20of%20this%20modality.%20Finally%2C%20we%20discuss%20current%20limitations%20and%20future%20directions%2C%20emphasizing%20the%20need%20for%20scalable%20hardware%2C%20efficient%20data%20handling%2C%20and%20new%20conceptual%20frameworks%20to%20fully%20exploit%20the%20spatiotemporal%20richness%20of%204D%20ultrafast%20ultrasound.%22%2C%22date%22%3A%222026-09-18%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1109%5C%2FTUSON.2026.3735239%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242758946%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%223066-9464%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%2294NJIV78%22%5D%2C%22dateModified%22%3A%222026-09-21T08%3A53%3A52Z%22%7D%7D%2C%7B%22key%22%3A%22A95KAP2L%22%2C%22library%22%3A%7B%22id%22%3A4989618%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Reydet%20et%20al.%22%2C%22parsedDate%22%3A%222026-07-14%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1%26lt%3B%5C%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BReydet%20J%2C%20Dizeux%20A%2C%20Haidour%20N%2C%20Tanter%20M%2C%20Pernot%20M%2C%20Papadacci%20C.%20Human%20coronary%20hemodynamics%20for%20cardiac%203D%20ultrasound%20localization%20microscopy%20benchmarking.%20%26lt%3Bi%26gt%3BPhys%20Med%20Biol%26lt%3B%5C%2Fi%26gt%3B%202026.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1088%5C%2F1361-6560%5C%2Fae8aac%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1088%5C%2F1361-6560%5C%2Fae8aac%26lt%3B%5C%2Fa%26gt%3B.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Human%20coronary%20hemodynamics%20for%20cardiac%203D%20ultrasound%20localization%20microscopy%20benchmarking%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Juliette%22%2C%22lastName%22%3A%22Reydet%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Dizeux%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nabil%22%2C%22lastName%22%3A%22Haidour%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mickael%22%2C%22lastName%22%3A%22Tanter%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mathieu%22%2C%22lastName%22%3A%22Pernot%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Clement%22%2C%22lastName%22%3A%22Papadacci%22%7D%5D%2C%22abstractNote%22%3A%22Objective.%20Coronary%20microvascular%20dysfunction%20plays%20a%20central%20role%20in%20major%20cardiovascular%20diseases%2C%20yet%20non-invasive%20imaging%20of%20the%20human%20coronary%20microcirculation%20remains%20an%20unresolved%20challenge%20in%20clinical%20practice.%20Ultrasound%20Localization%20Microscopy%20%28ULM%29%20enables%20microvascular%20imaging%20beyond%20the%20diffraction%20limit%2C%20but%20whole-heart%20volumetric%20ULM%20is%20hindered%20by%20cardiac%20motion%2C%20rib-induced%20acoustic%20aberrations%2C%20limited%20control%20over%20microbubble%20%28MB%29%20dynamics%2C%20and%20hardware-related%20field-of-view%20constraints.%20Experimental%20optimization%20under%20clinical%20conditions%20is%20therefore%20challenging.%20Approach.%20We%20developed%20a%20dedicated%20simulation%20framework%20for%20three-dimensional%20coronary%20ULM%20by%20extending%20a%20previously%20validated%20brain%20ULM%20simulation%20framework%20to%20the%20human%20coronary%20circulation.%20A%20synthetic%20coronary%20vascular%20network%20with%20physiologically%20realistic%20hemodynamics%20was%20generated%20using%20a%20space-colonization%20algorithm%20combined%20with%20Murray%5Cu2019s%20law%20and%20Poiseuille%20flow%20assumptions.%20Ground-truth%20MB%20dynamics%20were%20simulated%20and%20convolved%20with%20experimentally%20measured%20in%20vitro%20point%20spread%20functions%2C%20including%20configurations%20with%20human%20ribs%20to%20reproduce%20acoustic%20aberrations.%20The%20framework%20generates%20realistic%20four-dimensional%20%28x%2C%20y%2C%20z%2C%20t%29%20ultrasound%20datasets%20for%20quantitative%20benchmarking%20of%20MB%20detection%2C%20localization%2C%20and%20tracking%20performance.%20Main%20results.%20Systematic%20simulations%20demonstrated%20that%20both%20cardiac%20motion%20and%20rib-induced%20aberrations%20significantly%20degrade%20coronary%20ULM%20performance%2C%20particularly%20in%20small%20vessels%2C%20leading%20to%20reduced%20precision%2C%20sensitivity%2C%20and%20Jaccard%20index.%20Cardiac%20gating%20partially%20restored%20performance%20but%20increased%20acquisition%20time%2C%20underscoring%20critical%20trade-offs%20between%20robustness%20and%20efficiency.%20Significance.%20This%20simulation%20framework%20provides%20a%20realistic%20and%20flexible%20benchmarking%20platform%20for%20the%20evaluation%20of%20volumetric%20coronary%20ULM%20under%20controlled%20conditions.%20It%20enables%20quantitative%20assessment%20of%20acquisition%20strategies%2C%20probe%20designs%20and%20image-processing%20algorithms%2C%20thereby%20supporting%20the%20development%20and%20clinical%20translation%20of%20three-dimensional%20coronary%20ULM.%22%2C%22date%22%3A%222026-07-14%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1088%5C%2F1361-6560%5C%2Fae8aac%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fiopscience.iop.org%5C%2Farticle%5C%2F10.1088%5C%2F1361-6560%5C%2Fae8aac%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%220031-9155%2C%201361-6560%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%2294NJIV78%22%5D%2C%22dateModified%22%3A%222026-07-20T07%3A54%3A12Z%22%7D%7D%5D%7D
1
Meki T, Pedreira O, Papaddaci C, Tanter M, Messas E, Pernot M. Quantitative assessment of regional myocardial stiffness and anisotropy using 3D Shear Wave Elastography. Eur Heart J 2026;47:ehag785.002. https://doi.org/10.1093/eurheartj/ehag785.002.
1
Meki T, Zaroui A, Pedreira O, Kharoubi M, Lacoste-Badie R, Papadacci C, et al. Real-time 3D shear wave elastography discriminates ATTR cardiac amyloidosis in patients with left ventricular hypertrophy. Eur Heart J 2026;47:ehag785.1259. https://doi.org/10.1093/eurheartj/ehag785.1259.
1
Meki T, Zaroui A, Pedreira O, Kharoubi M, Lacoste-Badie R, Papadacci C, et al. Myocardial stiffness assessed by real-time 3D shear wave elastography discriminates accurately ATTR from AL cardiac amyloidosis. Eur Heart J 2026;47:ehag785.074. https://doi.org/10.1093/eurheartj/ehag785.074.
1
Cazzanelli S, Le Meur-Diebolt S, Baranger J, Travert-Jouanneau Y, Eglin L, Yalcin I, et al. Large-scale functional brain network organization is largely preserved in neuropathic pain despite selective circuit-level adaptations. Commun Biol 2026. https://doi.org/10.1038/s42003-026-10922-5.
1
Papadacci C, Provost J, Tang M-X, Dizeux A, Song P, Tanter M, et al. 4D Ultrafast Ultrasound: the next revolution in biomedical imaging. IEEE Trans Ultrason 2026;PP: https://doi.org/10.1109/TUSON.2026.3735239.
1
Reydet J, Dizeux A, Haidour N, Tanter M, Pernot M, Papadacci C. Human coronary hemodynamics for cardiac 3D ultrasound localization microscopy benchmarking. Phys Med Biol 2026. https://doi.org/10.1088/1361-6560/ae8aac.

 

Nov 21, 2022 | |
Previous

Meki Toûka
Next

Pernot Mathieu