Flow network tracking for spatiotemporal and periodic point matching: Applied to cardiac motion analysis

Autor: Allen Lu, Melissa Eberle, Imran Alkhalil, James S. Duncan, Geng-Shi Jeng, Nabil E. Boutagy, Matthew O'Donnell, Kevinminh Ta, Albert J. Sinusas, John C. Stendahl, Maria Zontak, Nripesh Parajuli

Publikováno v: Med Image Anal

The accurate quantification of left ventricular (LV) deformation/strain shows significant promise for quantitatively assessing cardiac function for use in diagnosis and therapy planning (Jasaityte et al., 2013). However, accurate estimation of the di

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31539761acd33c3cf0daa01ad9137512
https://doi.org/10.1016/j.media.2019.04.007

Internal Versus External Denoising—Benefits and Bounds

Autor: Michal Irani, Maria Zontak

Publikováno v: Denoising of Photographic Images and Video ISBN: 9783319960289

Image denoising has been a popularly studied problem for several decades in image processing and low-level computer vision communities. Many effective denoising approaches, such as BM3D, utilize spatial redundancy of patches (relatively small, croppe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b1e3990433c062d6f6f95c24a6ac46eb
https://doi.org/10.1007/978-3-319-96029-6_6

Feasibility of pulse wave velocity estimation from low frame rate US sequences in vivo

Autor: Matthew Bruce, Matthew O'Donnell, Michelle Hippke, Maria Zontak, A. J. Schwartz

Publikováno v: SPIE Proceedings.

The pulse wave velocity (PWV) is considered one of the most important clinical parameters to evaluate CV risk, vascular adaptation, etc. There has been substantial work attempting to measure the PWV in peripheral vessels using ultrasound (US). This p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e51ad007f21e74396d4024f09fe5ea5b
https://doi.org/10.1117/12.2255535

Learning-Based Spatiotemporal Regularization and Integration of Tracking Methods for Regional 4D Cardiac Deformation Analysis

Autor: Allen Lu, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan, Melissa Eberle, Imran Alkhalil, Nripesh Parajuli, John C. Stendahl, Nabil E. Boutagy, Maria Zontak

Publikováno v: Lecture Notes in Computer Science ISBN: 9783319661841
MICCAI (2)

Dense cardiac motion tracking and deformation analysis from echocardiography is important for detection and localization of myocardial dysfunction. However, tracking methods are often unreliable due to inherent ultrasound imaging properties. In this

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7046bfd150fd57ab7e2f266ea15571fe
https://doi.org/10.1007/978-3-319-66185-8_37

Detailed Evaluation of Five 3D Speckle Tracking Algorithms Using Synthetic Echocardiographic Recordings

Autor: Brecht Heyde, Olivier Bernard, Szymon Cygan, Martino Alessandrini, Sandro Queirós, Oudom Somphone, Matthew O'Donnell, Mathieu De Craene, Daniel Barbosa, Hervé Delingette, Maria Zontak, Jan D'hooge, Maxime Sermesant

Publikováno v: IEEE Transactions on Medical Imaging
IEEE Transactions on Medical Imaging, 2016, 35 (8), pp.1915-1926. ⟨10.1109/TMI.2016.2537848⟩
IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2016, 35 (8), pp.1915-1926. ⟨10.1109/TMI.2016.2537848⟩

A plethora of techniques for cardiac deformation imaging with 3D ultrasound, typically referred to as 3D speckle tracking techniques, are available from academia and industry. Although the benefits of single methods over alternative ones have been re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf44dc2634b315776535774598e63930
https://pubmed.ncbi.nlm.nih.gov/26960220