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Giovanni J. Ughi

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Giovanni J. Ughi
Alma materUniversity of Padova; Katholieke Universiteit Leuven; Harvard Medical School;
Known foroptical coherence tomography; intravascular fluorescence; Image processing;
AwardsBullock-Wellman Postdoctoral Fellowship, Harvard Medical School,[1] (2014)
Scientific career
FieldsBiomedical Optics, Vascular Research, Endoscopy, Medical Imaging
InstitutionsHarvard University, KU Leuven, University of Massachusetts Medical School

Giovanni J. Ughi (born Padova, Italy), engineer and scientist, is one of the inventors of multimodality optical coherence tomography (OCT) and Laser-induced fluorescence molecular imaging, pioneering a first-in-man study of coronary arteries during his work at Massachusetts General Hospital and Harvard Medical School.[2][3][4] The results of his work, combining two imaging technologies, may better identify dangerous coronary plaques, responsible for coronary artery disease and myocardial infarction.[5][6]

He also was one of the pioneers of targeted molecular imaging of human atherosclerosis, determining the use of molecular agents (e.g., indocyanine green (ICG)-enhanced near-infrared fluorescence) to illuminate high-risk features of human atherosclerotic plaques,[7] arterial inflammation and plaque progression,[8] and for the identification of unhealed stents at higher risk of stent thrombosis.[9]

Ughi also made significant contributions to the development of image processing and AI methods for the automated analysis of intracoronary optical coherence tomography (OCT) images, contributing to the widespread adoption of intracoronary OCT imaging technology.[10][11][12] He is recognized for the development of methods for the automatic quantification of stent and disease characteristics on intracoronary optical coherence tomography images.[13]

He has authored over fifty papers in peer-reviewed scientific international journals.[14][15]

References

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  1. ^ "2014 Bullock-Wellman Fellowship Award Recipients". Wellman Center for Photomedicine. Retrieved 8 September 2016.
  2. ^ Neale, Todd (11 March 2016). "Does New Dual-Modality Imaging Come Closer to Uncovering Vulnerable Plaques?". TCTMD. Cardiovascular Research Foundation. Retrieved 13 September 2016.
  3. ^ Psaltis PJ, Nicholls SJ (2016). "Imaging: Focusing light on the vulnerable plaque". Nature Reviews Cardiology. 13 (5): 253–255. doi:10.1038/nrcardio.2016.53. PMID 27087409. S2CID 166201.
  4. ^ Ughi GJ, Wang H, Gerbaud E, Gardecki JA, Fard AM, Hamidi E, Vacas-Jacques P, Rosenberg M, Jaffer FA, Tearney GJ (2016). "Clinical Characterization of Coronary Atherosclerosis With Dual-Modality OCT and Near-Infrared Autofluorescence Imaging". J Am Coll Cardiol Img. 9 (11): 1304–1314. doi:10.1016/j.jcmg.2015.11.020. PMC 5010789. PMID 26971006.
  5. ^ "Combining two imaging technologies may better identify dangerous coronary plaques – Adding fluorescence imaging to OCT reveals biological, as well as structural information". Mass General News. Retrieved 7 September 2016.
  6. ^ "OCT, fluorescence imaging pair to better identify heart attack-prone coronary plaques". 11 March 2016. Retrieved 11 September 2016.
  7. ^ Verjans JW, Osborn EA, Ughi GJ, Calfon Press MA, Hamidi E, Antoniadis AP, Papafaklis MI, Conrad MF, Libby P, Stone PH, Cambria RP, Tearney GJ, Jaffer FA (2016). "Targeted Near-Infrared Fluorescence Imaging of Atherosclerosis: Clinical and Intracoronary Evaluation of Indocyanine Green". J Am Coll Cardiol Img. 9 (9): 1087–1095. doi:10.1016/j.jcmg.2016.01.034. PMC 5136528. PMID 27544892.
  8. ^ Osborn EA, Ughi GJ, Verjans JW, Piao Z, Gerbaud E, Albaghdadi M, Khraishah H, Kassab MB, Takx R, Cui J, Mauskapf A, Shen C, Yeh RW, Klimas MT, Tawakol A, Tearney GJ, Jaffer FA (2021). "Intravascular Molecular-Structural Assessment of Arterial Inflammation in Preclinical Atherosclerosis Progression". J Am Coll Cardiol Img. 14 (11): 2265–2267. doi:10.1016/j.jcmg.2021.06.017. PMC 8571057. PMID 34419392.
  9. ^ Hara T, Ughi GJ, McCarthy JR, Erdem SS, Mauskapf A, Lyon SC, Fard AM, Edelman ER, Tearney GJ, Jaffer FA (2015). "Intravascular fibrin molecular imaging improves the detection of unhealed stents assessed by optical coherence tomography in vivo". European Heart Journal. 38 (6): 447–455. doi:10.1093/eurheartj/ehv677. PMC 5837565. PMID 26685129.
  10. ^ Ughi GJ, Van Dyck CJ, Adriaenssens T, Hoymans VY, Sinnaeve P, Timmermans JP, Desmet W, Vrints CJ, D'hooge J (2014). "Automatic assessment of stent neointimal coverage by intravascular optical coherence tomography". Eur Heart J Cardiovasc Imaging. 15 (2): 195–200. doi:10.1093/ehjci/jet134. PMID 23884965.
  11. ^ Ughi GJ, Adriaenssens T, Desmet W, D'hooge J (2012). "Fully automatic three-dimensional visualization of intravascular optical coherence tomography images". Biomed Opt Express. 3 (12): 3291–3303. doi:10.1364/boe.3.003291. PMC 3521298. PMID 23243578.
  12. ^ Ughi GJ, Adriaenssens T, Onsea K, Kayaert P, Dubois C, Sinnaeve P, Coosemans M, Desmet W, D'hooge J (2012). "Automatic segmentation of in-vivo intra-coronary optical coherence tomography images to assess stent strut apposition and coverage". Int J Cardiovasc Imaging. 28 (2): 229–241. doi:10.1007/s10554-011-9824-3. PMID 21347593. S2CID 21504211.
  13. ^ "winner of Optical Coherence Tomography Award". 9 January 2011. Retrieved 11 September 2016.
  14. ^ "Giovanni J. Ughi, PhD". Google Scholar. Retrieved 20 April 2017.
  15. ^ "Giovanni J. Ughi, PhD". ORCID. Retrieved 22 August 2021.
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