non-rigid elastic image registration algorithm segment (Medviso AB)
90
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Medviso AB
non-rigid elastic image registration algorithm segment
Non Rigid Elastic Image Registration Algorithm Segment, supplied by Medviso AB, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/non-rigid+registration+algorithm/non+rigid+elastic+image+registration+algorithm+segment/pm35201410-46-17-19
Average 90 stars, based on 1 article reviews
Non Rigid Elastic Image Registration Algorithm Segment, supplied by Medviso AB, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/non-rigid+registration+algorithm/non+rigid+elastic+image+registration+algorithm+segment/pm35201410-46-17-19
Average 90 stars, based on 1 article reviews
non-rigid elastic image registration algorithm segment - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: Inter-vendor reproducibility and accuracy of segmental left ventricular strain measurements using CMR feature tracking. Article Snippet: Objectives Our aim was to evaluate the inter-vendor reproducibility of cardiovascular MR feature tracking (CMR-FT) for the measurement of segmental strain (SS) of the left ventricle (LV) as well as to test the accuracy of CMR-FT to detect regional myocardial pathology.. Methods We selected 45 patients: 15 with normal CMR findings, 15 with dilated cardiomyopathy, and 15 with acute myocardial infarction.. Segmental longitudinal, circumferential, and radial strains were assessed with 4 different software. Article Title: Cardiovascular magnetic resonance myocardial feature tracking using a non-rigid, elastic image registration algorithm: assessment of variability in a real-life clinical setting Article Snippet: We sought to determine the variability of CMR-FT using a non-rigid elastic registration algorithm recently available in a commercial software Article Title: Cardiovascular magnetic resonance myocardial feature tracking using a non-rigid, elastic image registration algorithm: assessment of variability in a real-life clinical setting Article Snippet: In the present study, we have used a non-rigid, elastic image registration algorithm available from Article Title: State-of-the-art myocardial strain by CMR feature tracking: clinical applications and future perspectives. Article Snippet: Based on conventional cine sequences of cardiac magnetic resonance (CMR), feature tracking (FT) is an emerging tissue tracking technique that evaluates myocardial motion and deformation quantitatively by strain, strain rate, torsion, and dyssynchrony.. It has been widely accepted in modern literature that strain analysis can offer incremental information in addition to classic global and segmental functional analysis.. Furthermore, CMR-FT facilitates measurement of all cardiac chambers, including the relatively thin-walled atria and the right ventricle, which has been a difficult measurement to obtain with the reference standard technique of myocardial tagging. Software:Article Title: Feature-tracking-based strain analysis – a comparison of tracking algorithms Article Snippet: .. Dedicated software was employed to perform feature-tracking strain analysis with a non-rigid, Knock-Out:Article Title: Quantification of Biventricular Myocardial Strain Using CMR Feature Tracking: Reproducibility in Small Animals Article Snippet: .. In our study, we have used a nonrigid, |