Search Results - "Parajuli, Nripesh"

Regional myocardial strain analysis via 2D speckle tracking echocardiography: validation with sonomicrometry and correlation with regional blood flow in the presence of graded coronary stenoses and dobutamine stress by Stendahl, John C, Parajuli, Nripesh, Lu, Allen, Boutagy, Nabil E, Guerrera, Nicole, Alkhalil, Imran, Lin, Ben A, Staib, Lawrence H, O'Donnell, Matthew, Duncan, James S, Sinusas, Albert J

“…Quantitative regional strain analysis by speckle tracking echocardiography (STE) may be particularly useful in the assessment of myocardial ischemia and…”
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Efficient Two-Pass 3-D Speckle Tracking for Ultrasound Imaging by Jeng, Geng-Shi, Zontak, Maria, Parajuli, Nripesh, Lu, Allen, Ta, Kevinminh, Sinusas, Albert J., Duncan, James S., O'Donnell, Matthew

“…Speckle tracking based on block matching is the most common method for multi-dimensional motion estimation in ultrasound elasticity imaging. Extension of 2-D…”
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AI-GUIDED ECHOCARDIOGRAPHY SYSTEM MATCHES THE IMAGE QUALITY ASSESSMENT ABILITY OF CARDIAC SONOGRAPHERS by Hong, Ha, Surette, Samuel, Chaudhry, Ali Khalid, Parajuli, Nripesh, Cadieu, Charles, Martin, Randolph, Thomas, James

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Multiaxial pressure-strain analysis of regional myocardial work in the setting of graded coronary stenoses and dobutamine stress by Stendahl, John C, Liu, Zhao, Boutagy, Nabil E, Parajuli, Nripesh, Lu, Allen, Alkhalil, Imran, Lin, Ben A, Duncan, James S, Sinusas, Albert J

“…We present a detailed analysis of regional myocardial blood flow and work to better understand the effects of coronary stenoses and low-dose dobutamine stress…”
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Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation by Lu, Allen, Ahn, Shawn S., Ta, Kevinminh, Parajuli, Nripesh, Stendahl, John C., Liu, Zhao, Boutagy, Nabil E., Jeng, Geng-Shi, Staib, Lawrence H., O'Donnell, Matthew, Sinusas, Albert J., Duncan, James S.

“…Reliable motion estimation and strain analysis using 3D+ time echocardiography (4DE) for localization and characterization of myocardial injury is valuable for…”
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Flow network tracking for spatiotemporal and periodic point matching: Applied to cardiac motion analysis by Parajuli, Nripesh, Lu, Allen, Ta, Kevinminh, Stendahl, John, Boutagy, Nabil, Alkhalil, Imran, Eberle, Melissa, Jeng, Geng-Shi, Zontak, Maria, O’Donnell, Matthew, Sinusas, Albert J., Duncan, James S.

“…•We present a spatio-temporal (3D+t) correspondence solving algorithm and apply it to estimate cardiac deformation using echocardiographic images.•We use…”
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Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge by Suinesiaputra, Avan, Ablin, Pierre, Alba, Xenia, Alessandrini, Martino, Allen, Jack, Bai, Wenjia, Cimen, Serkan, Claes, Peter, Cowan, Brett R., Dhooge, Jan, Duchateau, Nicolas, Ehrhardt, Jan, Frangi, Alejandro F., Gooya, Ali, Grau, Vicente, Lekadir, Karim, Lu, Allen, Mukhopadhyay, Anirban, Oksuz, Ilkay, Parajuli, Nripesh, Pennec, Xavier, Pereanez, Marco, Pinto, Catarina, Piras, Paolo, Rohe, Marc-Michel, Rueckert, Daniel, Saring, Dennis, Sermesant, Maxime, Siddiqi, Kaleem, Tabassian, Mahdi, Teresi, Luciano, Tsaftaris, Sotirios A., Wilms, Matthias, Young, Alistair A., Zhang, Xingyu, Medrano-Gracia, Pau

“…Statistical shape modeling is a powerful tool for visualizing and quantifying geometric and functional patterns of the heart. After myocardial infarction (MI),…”
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Regularization and Feature Learning for Cardiac Motion Analysis by Parajuli, Nripesh

“…Cardiovascular diseases are the leading cause of mortality in the world. Motion analysis of the left ventricle (LV) is a popular method for assessing cardiac…”
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Flow Network Tracking for Spatiotemporal and Periodic Point Matching: Applied to Cardiac Motion Analysis by Parajuli, Nripesh, Lu, Allen, Ta, Kevinminh, Stendahl, John C, Boutagy, Nabil, Alkhalil, Imran, Eberle, Melissa, Jeng, Geng-Shi, Zontak, Maria, ODonnell, Matthew, Sinusas, Albert J, Duncan, James S

“…The accurate quantification of left ventricular (LV) deformation/strain shows significant promise for quantitatively assessing cardiac function for use in…”
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Learning-based Regularization for Cardiac Strain Analysis with Ability for Domain Adaptation by Lu, Allen, Parajuli, Nripesh, Zontak, Maria, Stendahl, John, Ta, Kevinminh, Liu, Zhao, Boutagy, Nabil, Jeng, Geng-Shi, Alkhalil, Imran, Staib, Lawrence H, O'Donnell, Matthew, Sinusas, Albert J, Duncan, James S

“…Reliable motion estimation and strain analysis using 3D+time echocardiography (4DE) for localization and characterization of myocardial injury is valuable for…”
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