Super-resolution ultrasound imaging method for microvasculature in vivo with a high temporal accuracy
暂无分享,去创建一个
[1] David J Mikulis,et al. Intracranial vasa vasorum: insights and implications for imaging. , 2013, Radiology.
[2] Paul A. Dayton,et al. Real‐time ultrasound angiography using superharmonic dual‐frequency (2.25 MHz/30 MHz) cylindrical array: In vitro study , 2018, Ultrasonics.
[3] Junsu Lee,et al. A 35 MHz/105 MHz Dual-Element Focused Transducer for Intravascular Ultrasound Tissue Imaging Using the Third Harmonic , 2018, Sensors.
[4] Trevor Coward,et al. An In-Vitro Study , 2016 .
[5] D S Biggs,et al. Acceleration of iterative image restoration algorithms. , 1997, Applied optics.
[6] Kerstin Pingel,et al. 50 Years of Image Analysis , 2012 .
[7] Chao Zhang,et al. Relationship between Enhanced Intensity of Contrast Enhanced Ultrasound and Microvessel Density of Aortic Atherosclerostic Plaque in Rabbit Model , 2014, PloS one.
[8] E L Ritman,et al. Impact of coronary vasa vasorum functional structure on coronary vessel wall perfusion distribution. , 2003, American journal of physiology. Heart and circulatory physiology.
[9] Junyan Xu,et al. Vasa Vasorum in Atherosclerosis and Clinical Significance , 2015, International journal of molecular sciences.
[10] Amir Lerman,et al. The Vasa Vasorum in Atherosclerosis: The Vessel Within the Vascular Wall. , 2015, Journal of the American College of Cardiology.
[11] Charlie Demené,et al. Spatiotemporal Clutter Filtering of Ultrafast Ultrasound Data Highly Increases Doppler and fUltrasound Sensitivity , 2015, IEEE Transactions on Medical Imaging.
[12] Michael J Rust,et al. Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM) , 2006, Nature Methods.
[13] C. Dunsby,et al. 3-D In Vitro Acoustic Super-Resolution and Super-Resolved Velocity Mapping Using Microbubbles , 2015, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.
[14] Qifa Zhou,et al. Multi-frequency intravascular ultrasound (IVUS) imaging , 2015, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.
[15] X. Zhuang,et al. Statistical deconvolution for superresolution fluorescence microscopy. , 2012, Biophysical journal.
[16] Xiaoning Jiang,et al. Design factors of intravascular dual frequency transducers for super-harmonic contrast imaging and acoustic angiography , 2015, Physics in medicine and biology.
[17] R. Prescott,et al. Edinburgh Artery Study: prevalence of asymptomatic and symptomatic peripheral arterial disease in the general population. , 1991, International journal of epidemiology.
[18] Yongmin Kim,et al. Adaptive clutter filtering for ultrasound color flow imaging. , 2003, Ultrasound in medicine & biology.
[19] G. Schmitz,et al. Imaging tumor vascularity by tracing single microbubbles , 2011, 2011 IEEE International Ultrasonics Symposium.
[20] Angels Betriu,et al. Left carotid adventitial vasa vasorum signal correlates directly with age and with left carotid intima-media thickness in individuals without atheromatous risk factors , 2015, Cardiovascular Ultrasound.
[21] J. Lippincott-Schwartz,et al. Imaging Intracellular Fluorescent Proteins at Nanometer Resolution , 2006, Science.
[22] Hiroshi Okamoto,et al. In vivo assessment of vasa vasorum neovascularization using intravascular ultrasound: A comparison between acute coronary syndrome and stable angina pectoris. , 2017, Journal of cardiology.
[23] Timo Liimatainen,et al. High-resolution ultrasound perfusion imaging of therapeutic angiogenesis. , 2008, JACC. Cardiovascular imaging.
[24] Patrick W Serruys,et al. PCSK9 in relation to coronary plaque inflammation: Results of the ATHEROREMO-IVUS study. , 2016, Atherosclerosis.
[25] Kun Sun,et al. Feasibility Study on Prenatal Cardiac Screening Using Four-Dimensional Ultrasound with Spatiotemporal Image Correlation: A Multicenter Study , 2016, PloS one.
[26] Diane R. Eaker,et al. Quantification of Vasa Vasorum Density in Multi-Slice Computed Tomographic Coronary Angiograms: Role of Computed Tomographic Image Voxel Size , 2010, Journal of computer assisted tomography.
[27] Kevin W Eliceiri,et al. NIH Image to ImageJ: 25 years of image analysis , 2012, Nature Methods.
[28] Diego Ardissino,et al. [From vulnerable plaque to vulnerable patient]. , 2010, Giornale italiano di cardiologia.
[29] Jonathan R Lindner,et al. Temporal characterization of the functional density of the vasa vasorum by contrast-enhanced ultrasonography maximum intensity projection imaging. , 2010, JACC. Cardiovascular imaging.
[30] Renu Virmani,et al. Intraplaque hemorrhage and progression of coronary atheroma. , 2003, The New England journal of medicine.
[31] Yonina C. Eldar,et al. > Replace This Line with Your Paper Identification Number (double-click Here to Edit) < , 2022 .
[32] Akira Taruya,et al. Vasa Vasorum Restructuring in Human Atherosclerotic Plaque Vulnerability: A Clinical Optical Coherence Tomography Study. , 2015, Journal of the American College of Cardiology.
[33] William H. Richardson,et al. Bayesian-Based Iterative Method of Image Restoration , 1972 .
[34] F Viñals,et al. Spatio‐temporal image correlation (STIC): a new tool for the prenatal screening of congenital heart defects , 2003, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.
[35] Robert J. Eckersley,et al. In Vivo Acoustic Super-Resolution and Super-Resolved Velocity Mapping Using Microbubbles , 2015, IEEE Transactions on Medical Imaging.
[36] M. Tanter,et al. Ultrafast ultrasound localization microscopy for deep super-resolution vascular imaging , 2015, Nature.
[37] Juan J. Badimon,et al. Plaque Neovascularization Is Increased in Ruptured Atherosclerotic Lesions of Human Aorta: Implications for Plaque Vulnerability , 2004, Circulation.
[38] Paul Beard,et al. Imaging techniques: Super-resolution ultrasound , 2015, Nature.
[39] L. Lucy. An iterative technique for the rectification of observed distributions , 1974 .
[40] Erik L Ritman,et al. Correlation of Vasa Vasorum Neovascularization and Plaque Progression in Aortas of Apolipoprotein E−/−/Low-Density Lipoprotein−/− Double Knockout Mice , 2005, Arteriosclerosis, thrombosis, and vascular biology.
[41] Dan Adam,et al. Contrast-enhanced ultrasound imaging of the vasa vasorum: from early atherosclerosis to the identification of unstable plaques. , 2010, JACC. Cardiovascular imaging.
[42] Evelyn Regar,et al. In vivo detection of high-risk coronary plaques by radiofrequency intravascular ultrasound and cardiovascular outcome: results of the ATHEROREMO-IVUS study. , 2014, European heart journal.
[43] Zahi A Fayad,et al. Atherothrombosis and high-risk plaque: Part II: approaches by noninvasive computed tomographic/magnetic resonance imaging. , 2005, Journal of the American College of Cardiology.
[44] Tai-kyong Song,et al. Evaluation of flow estimation methods for 3D color Doppler imaging , 2010, 2010 IEEE International Ultrasonics Symposium.
[45] Chih-Chung Huang,et al. 40 MHz high‐frequency ultrafast ultrasound imaging , 2017, Medical physics.
[46] Amir Lerman,et al. IVUS detection of vasa vasorum blood flow distribution in coronary artery vessel wall. , 2012, JACC. Cardiovascular imaging.
[47] Linda Lavery,et al. Quantification of plaque neovascularization using contrast ultrasound: a histologic validation. , 2011, European heart journal.