ESPCI web site
Robin Justine
Research officer at Inserm
justine.robin@espci.fr
Education
- 2017 – PhD in Physics, Université Paris Diderot Development of a 3D Time Reversal Cavity for cardiac shock-wave therapy
- 2014 – Master of Science in Biomedical Engineering, Imperial College, London, UK
- 2013 – Engineering Degree, Ecole Polytechnique, Palaiseau, France
Professional experience
- Since 2022 – Tenured research officer at INSERM, Paris, France.
- 2021 – Post-doctoral researcher, Institut Langevin, Paris, France.
- 2019-2021 – Post-doctoral researcher, ETH Zürich, Switzerland.
- 2019-2019 – Post-doctoral researcher, Hôpital Universitaire de Genève, Switzerland.
Main awards and distinctions
- 2019 – ETHZ Post-doctoral Fellowship
- 2015 – Best presentation award, Les Houches Winter School for Therapeutic Ultrasound
Research topics
- Ultrafast ultrasound imaging of the brain
- Non-invasive ultrasound therapy
- Adaptive focusing and image reconstruction
- Gynaecologic applications of ultrafast ultrasound imaging
Main publications
Latest publications
4989618
94NJIV78
robin
1
national-institute-of-health-research
5
date
desc
6857
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%22PID5KLS3%22%2C%22library%22%3A%7B%22id%22%3A4989618%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Bureau%20et%20al.%22%2C%22parsedDate%22%3A%222023-10-25%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3EBureau%20F%2C%20Robin%20J%2C%20Le%20Ber%20A%2C%20Lambert%20W%2C%20Fink%20M%2C%20Aubry%20A.%20Three-dimensional%20ultrasound%20matrix%20imaging.%20%3Ci%3ENat%20Commun%3C%5C%2Fi%3E%202023%3B%3Cb%3E14%3C%5C%2Fb%3E%3A1%26%23x2013%3B13.%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10%5C%2Fgtdzk3%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10%5C%2Fgtdzk3%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Three-dimensional%20ultrasound%20matrix%20imaging%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Flavien%22%2C%22lastName%22%3A%22Bureau%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Justine%22%2C%22lastName%22%3A%22Robin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Arthur%22%2C%22lastName%22%3A%22Le%20Ber%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22William%22%2C%22lastName%22%3A%22Lambert%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mathias%22%2C%22lastName%22%3A%22Fink%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Aubry%22%7D%5D%2C%22abstractNote%22%3A%22Matrix%20imaging%20paves%20the%20way%20towards%20a%20next%20revolution%20in%20wave%20physics.%20Based%20on%20the%20response%20matrix%20recorded%20between%20a%20set%20of%20sensors%2C%20it%20enables%20an%20optimized%20compensation%20of%20aberration%20phenomena%20and%20multiple%20scattering%20events%20that%20usually%20drastically%20hinder%20the%20focusing%20process%20in%20heterogeneous%20media.%20Although%20it%20gave%20rise%20to%20spectacular%20results%20in%20optical%20microscopy%20or%20seismic%20imaging%2C%20the%20success%20of%20matrix%20imaging%20has%20been%20so%20far%20relatively%20limited%20with%20ultrasonic%20waves%20because%20wave%20control%20is%20generally%20only%20performed%20with%20a%20linear%20array%20of%20transducers.%20In%20this%20paper%2C%20we%20extend%20ultrasound%20matrix%20imaging%20to%20a%203D%20geometry.%20Switching%20from%20a%201D%20to%20a%202D%20probe%20enables%20a%20much%20sharper%20estimation%20of%20the%20transmission%20matrix%20that%20links%20each%20transducer%20and%20each%20medium%20voxel.%20Here%2C%20we%20first%20present%20an%20experimental%20proof%20of%20concept%20on%20a%20tissue-mimicking%20phantom%20through%20ex-vivo%20tissues%20and%20then%2C%20show%20the%20potential%20of%203D%20matrix%20imaging%20for%20transcranial%20applications.%20Ultrasound%20is%20a%20flexible%20and%20powerful%20medical%20tool.%20Yet%2C%20brain%20imaging%20has%20remained%20elusive%20so%20far%20for%20ultrasound%20due%20to%20the%20blurring%20induced%20by%20the%20skull.%20Here%2C%20a%203D%20non-invasive%20approach%20is%20proposed%20to%20make%20the%20skull%20digitally%20transparent%20and%20image%20brain%20tissues%20at%20unprecedented%20resolution.%22%2C%22date%22%3A%222023-10-25%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210%5C%2Fgtdzk3%22%2C%22ISSN%22%3A%222041-1723%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.nature.com%5C%2Farticles%5C%2Fs41467-023-42338-8%22%2C%22collections%22%3A%5B%2294NJIV78%22%5D%2C%22dateModified%22%3A%222024-03-11T11%3A00%3A56Z%22%7D%7D%2C%7B%22key%22%3A%22CT8VEG7U%22%2C%22library%22%3A%7B%22id%22%3A4989618%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Robin%20et%20al.%22%2C%22parsedDate%22%3A%222023%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3ERobin%20J%2C%20Demen%26%23xE9%3B%20C%2C%20Heiles%20B%2C%20Blanvillain%20V%2C%20Puke%20L%2C%20Perren%20F%2C%20%3Ci%3Eet%20al.%3C%5C%2Fi%3E%20In%20vivo%20adaptive%20focusing%20for%20clinical%20contrast-enhanced%20transcranial%20ultrasound%20imaging%20in%20human.%20%3Ci%3EPhys%20Med%20Biol%3C%5C%2Fi%3E%202023%3B%3Cb%3E68%3C%5C%2Fb%3E%3A25019.%20%3Ca%20class%3D%27zp-ItemURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1088%5C%2F1361-6560%5C%2Facabfb%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1088%5C%2F1361-6560%5C%2Facabfb%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22In%20vivo%20adaptive%20focusing%20for%20clinical%20contrast-enhanced%20transcranial%20ultrasound%20imaging%20in%20human%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Justine%22%2C%22lastName%22%3A%22Robin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Charlie%22%2C%22lastName%22%3A%22Demen%5Cu00e9%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Baptiste%22%2C%22lastName%22%3A%22Heiles%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Victor%22%2C%22lastName%22%3A%22Blanvillain%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Liene%22%2C%22lastName%22%3A%22Puke%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Fabienne%22%2C%22lastName%22%3A%22Perren%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mickael%22%2C%22lastName%22%3A%22Tanter%22%7D%5D%2C%22abstractNote%22%3A%22Objective.%20Imaging%20the%20human%20brain%20vasculature%20with%20high%20spatial%20and%20temporal%20resolution%20remains%20challenging%20in%20the%20clinic%20today.%20Transcranial%20ultrasound%20is%20still%20scarcely%20used%20for%20cerebrovascular%20imaging%2C%20due%20to%20low%20sensitivity%20and%20strong%20phase%20aberrations%20induced%20by%20the%20skull%20bone%20that%20only%20enable%20the%20proximal%20part%20major%20brain%20vessel%20imaging%2C%20even%20with%20ultrasound%20contrast%20agent%20injection%20%28microbubbles%29.%20Approach.%20Here%2C%20we%20propose%20an%20adaptive%20aberration%20correction%20technique%20for%20skull%20bone%20aberrations%20based%20on%20the%20backscattered%20signals%20coming%20from%20intravenously%20injected%20microbubbles.%20Our%20aberration%20correction%20technique%20was%20implemented%20to%20image%20brain%20vasculature%20in%20human%20adults%20through%20temporal%20and%20occipital%20bone%20windows.%20For%20each%20subject%2C%20an%20effective%20speed%20of%20sound%2C%20as%20well%20as%20a%20phase%20aberration%20profile%2C%20were%20determined%20in%20several%20isoplanatic%20patches%20spread%20across%20the%20image.%20This%20information%20was%20then%20used%20in%20the%20beamforming%20process.%20Main%20results.%20This%20aberration%20correction%20method%20reduced%20the%20number%20of%20artefacts%2C%20such%20as%20ghost%20vessels%2C%20in%20the%20images.%20It%20improved%20image%20quality%20both%20for%20ultrafast%20Doppler%20imaging%20and%20ultrasound%20localization%20microscopy%20%28ULM%29%2C%20especially%20in%20patients%20with%20thick%20bone%20windows.%20For%20ultrafast%20Doppler%20images%2C%20the%20contrast%20was%20increased%20by%204%20dB%20on%20average%2C%20and%20for%20ULM%2C%20the%20number%20of%20detected%20microbubble%20tracks%20was%20increased%20by%2038%25.%20Significance.%20This%20technique%20is%20thus%20promising%20for%20better%20diagnosis%20and%20follow-up%20of%20brain%20pathologies%20such%20as%20aneurysms%2C%20arterial%20stenoses%2C%20arterial%20occlusions%2C%20microvascular%20disease%20and%20stroke%20and%20could%20make%20transcranial%20ultrasound%20imaging%20possible%20even%20in%20particularly%20difficult-to-image%20human%20adults.%22%2C%22date%22%3A%222023%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1088%5C%2F1361-6560%5C%2Facabfb%22%2C%22ISSN%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1088%5C%2F1361-6560%5C%2Facabfb%22%2C%22collections%22%3A%5B%2294NJIV78%22%5D%2C%22dateModified%22%3A%222023-03-14T16%3A00%3A22Z%22%7D%7D%2C%7B%22key%22%3A%2243H6P3BC%22%2C%22library%22%3A%7B%22id%22%3A4989618%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Lafci%20et%20al.%22%2C%22parsedDate%22%3A%222022-10%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3ELafci%20B%2C%20Robin%20J%2C%20De%26%23xE1%3Bn-Ben%20XL%2C%20Razansky%20D.%20Expediting%20Image%20Acquisition%20in%20Reflection%20Ultrasound%20Computed%20Tomography.%20%3Ci%3EIEEE%20Transactions%20on%20Ultrasonics%2C%20Ferroelectrics%2C%20and%20Frequency%20Control%3C%5C%2Fi%3E%202022%3B%3Cb%3E69%3C%5C%2Fb%3E%3A2837%26%23x2013%3B48.%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1109%5C%2FTUFFC.2022.3172713%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1109%5C%2FTUFFC.2022.3172713%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Expediting%20Image%20Acquisition%20in%20Reflection%20Ultrasound%20Computed%20Tomography%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Berkan%22%2C%22lastName%22%3A%22Lafci%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Justine%22%2C%22lastName%22%3A%22Robin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Xos%5Cu00e9%20Lu%5Cu00eds%22%2C%22lastName%22%3A%22De%5Cu00e1n-Ben%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%22%2C%22lastName%22%3A%22Razansky%22%7D%5D%2C%22abstractNote%22%3A%22Reflection%20ultrasound%20computed%20tomography%20%28RUCT%29%20attains%20optimal%20image%20quality%20from%20objects%20that%20can%20be%20fully%20accessed%20from%20multiple%20directions%2C%20such%20as%20the%20human%20breast%20or%20small%20animals.%20Owing%20to%20the%20full-view%20tomography%20approach%20based%20on%20the%20compounding%20of%20images%20taken%20from%20multiple%20angles%2C%20RUCT%20effectively%20mitigates%20several%20deficiencies%20afflicting%20conventional%20pulse-echo%20ultrasound%20%28US%29%20systems%2C%20such%20as%20speckle%20patterns%20and%20interuser%20variability.%20On%20the%20other%20hand%2C%20the%20small%20interelement%20pitch%20required%20to%20fulfill%20the%20spatial%20sampling%20criterion%20in%20the%20circular%20transducer%20configuration%20used%20in%20RUCT%20typically%20implies%20the%20use%20of%20an%20excessive%20number%20of%20independent%20array%20elements.%20This%20increases%20the%20system%5Cu2019s%20complexity%20and%20costs%2C%20and%20limits%20the%20achievable%20imaging%20speed.%20Here%2C%20we%20explore%20acquisition%20schemes%20that%20enable%20RUCT%20imaging%20with%20the%20reduced%20number%20of%20transmit%5C%2Freceive%20elements.%20We%20investigated%20the%20influence%20of%20the%20element%20size%20in%20transmission%20and%20reception%20in%20a%20ring%20array%20geometry.%20The%20performance%20of%20a%20sparse%20acquisition%20approach%20based%20on%20partial%20acquisition%20from%20a%20subset%20of%20the%20elements%20has%20been%20further%20assessed.%20A%20larger%20element%20size%20is%20shown%20to%20preserve%20contrast%20and%20resolution%20at%20the%20center%20of%20the%20field%20of%20view%20%28FOV%29%2C%20while%20a%20reduced%20number%20of%20elements%20is%20shown%20to%20cause%20uniform%20loss%20of%20contrast%20and%20resolution%20across%20the%20entire%20FOV.%20The%20tradeoffs%20of%20achievable%20FOV%2C%20contrast-to-noise%20ratio%2C%20and%20temporal%20and%20spatial%20resolutions%20are%20assessed%20in%20phantoms%20and%20in%20vivo%20mouse%20experiments.%20The%20experimental%20analysis%20is%20expected%20to%20aid%20the%20development%20of%20optimized%20hardware%20and%20image%20acquisition%20strategies%20for%20RUCT%20and%2C%20thus%2C%20result%20in%20more%20affordable%20imaging%20systems%20facilitating%20wider%20adoption.%22%2C%22date%22%3A%222022-10%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1109%5C%2FTUFFC.2022.3172713%22%2C%22ISSN%22%3A%221525-8955%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22DSPDI74A%22%2C%2294NJIV78%22%5D%2C%22dateModified%22%3A%222023-04-18T15%3A47%3A47Z%22%7D%7D%2C%7B%22key%22%3A%22K3A6W8B6%22%2C%22library%22%3A%7B%22id%22%3A4989618%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Lambert%20et%20al.%22%2C%22parsedDate%22%3A%222022%22%2C%22numChildren%22%3A3%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3ELambert%20W%2C%20Cobus%20LA%2C%20Robin%20J%2C%20Fink%20M%2C%20Aubry%20A.%20Ultrasound%20Matrix%20Imaging%26%23x2014%3BPart%20II%3A%20The%20Distortion%20Matrix%20for%20Aberration%20Correction%20Over%20Multiple%20Isoplanatic%20Patches.%20%3Ci%3EIEEE%20Transactions%20on%20Medical%20Imaging%3C%5C%2Fi%3E%202022%3B%3Cb%3E41%3C%5C%2Fb%3E%3A3921%26%23x2013%3B38.%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1109%5C%2FTMI.2022.3199483%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1109%5C%2FTMI.2022.3199483%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Ultrasound%20Matrix%20Imaging%5Cu2014Part%20II%3A%20The%20Distortion%20Matrix%20for%20Aberration%20Correction%20Over%20Multiple%20Isoplanatic%20Patches%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22William%22%2C%22lastName%22%3A%22Lambert%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Laura%20A.%22%2C%22lastName%22%3A%22Cobus%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Justine%22%2C%22lastName%22%3A%22Robin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mathias%22%2C%22lastName%22%3A%22Fink%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Aubry%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222022%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1109%5C%2FTMI.2022.3199483%22%2C%22ISSN%22%3A%22%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22DSPDI74A%22%2C%2294NJIV78%22%5D%2C%22dateModified%22%3A%222024-03-11T11%3A01%3A08Z%22%7D%7D%5D%7D
1
Bureau F, Robin J, Le Ber A, Lambert W, Fink M, Aubry A. Three-dimensional ultrasound matrix imaging. Nat Commun 2023;14:1–13. https://doi.org/10/gtdzk3.
1
Robin J, Demené C, Heiles B, Blanvillain V, Puke L, Perren F, et al. In vivo adaptive focusing for clinical contrast-enhanced transcranial ultrasound imaging in human. Phys Med Biol 2023;68:25019. https://doi.org/10.1088/1361-6560/acabfb.
1
Lafci B, Robin J, Deán-Ben XL, Razansky D. Expediting Image Acquisition in Reflection Ultrasound Computed Tomography. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 2022;69:2837–48. https://doi.org/10.1109/TUFFC.2022.3172713.
1
Lambert W, Cobus LA, Robin J, Fink M, Aubry A. Ultrasound Matrix Imaging—Part II: The Distortion Matrix for Aberration Correction Over Multiple Isoplanatic Patches. IEEE Transactions on Medical Imaging 2022;41:3921–38. https://doi.org/10.1109/TMI.2022.3199483.
Apr 13, 2022 |
|