scholarly journals Efficient Point Feature Tracking based on Self-aware Distance Transform

2012 ◽  
Author(s):  
Min-gyu Park ◽  
Kuk-jin Yoon
Keyword(s):  
Feature Tracking ◽  
Distance Transform ◽  
Efficient Point ◽  
Point Feature

Binocular transfer methods for point-feature tracking of image sequences

2002 ◽  
Vol 32 (4) ◽  
pp. 392-405 ◽  
Author(s):  
J.Z. Zhang ◽  
Q.M.J. Wu ◽  
Hung-Tat Tsui ◽  
W.A. Gruver
Keyword(s):  
Feature Tracking ◽  
Image Sequences ◽  
Point Feature

Assessing the performance of corner detectors for point feature tracking applications

2004 ◽  
Vol 22 (8) ◽  
pp. 663-679 ◽  
Author(s):  
P. Tissainayagam ◽  
D. Suter
Keyword(s):  
Feature Tracking ◽  
Point Feature

Quantification of myocardial function using MRI feature tracking in children - Determination of normal values

2014 ◽  
Vol 62 (S 02) ◽  
Author(s):  
A. Helling ◽  
S. Buss ◽  
A. Foell ◽  
D. Robbers-Visser ◽  
W.A. Helbing ◽  
...  
Keyword(s):  
Feature Tracking ◽  
Myocardial Function ◽  
Normal Values

MRT-basierte Strain-Analyse mittels Feature Tracking bei Myokarditis

2015 ◽  
Vol 187 (S 01) ◽  
Author(s):  
B Baeßler ◽  
G Michels ◽  
M Hellmich ◽  
J Kröger ◽  
D Maintz ◽  
...  
Keyword(s):  
Feature Tracking

Myokardiale Strain-Analyse mittels Feature-Tracking in hochbeschleunigter kardialer real time MRT

2019 ◽  
Author(s):  
F Harder ◽  
H Haubenreisser ◽  
S Sudarski ◽  
D Overhoff ◽  
U Attenberger ◽  
...  
Keyword(s):  
Real Time ◽  
Feature Tracking

The Improvement of Torsion Assessed by Cardiovascular Magnetic Resonance Feature Tracking after Coronary Artery Bypass Grafting: A Sensitive Index of Cardiac Function

2017 ◽  
Vol 20 (1) ◽  
pp. 026 ◽  
Author(s):  
Nan Cheng ◽  
Liuquan Cheng ◽  
Rong Wang ◽  
Lin Zhang ◽  
Changqing Gao
Keyword(s):  
Cardiovascular Magnetic Resonance ◽  
Magnetic Resonance ◽  
Ejection Fraction ◽  
Cardiac Function ◽  
Feature Tracking ◽  
Artery Bypass ◽  
Left Ventricular ◽  
Rapid Acquisition ◽  
Left Ventricular Torsion ◽  
Ventricular Torsion

Objective: The aim of this study was to quantify left ventricular torsion by newly applied cardiovascular magnetic resonance feature tracking (CMR-FT), and to evaluate the clinical value of the ventricular torsion as a sensitive indicator of cardiac function by comparison of preoperative and postoperative torsion.Methods: A total of 54 volunteers and 36 patients with previous myocardial infarction (MI) and LV ejection fraction (EF) between 30%-50% were screened preoperatively or postoperatively by MRI. The patients’ short axis views of the whole heart were acquired, and all patients had a scar area >75% in at least one of the anterior or inferior segments. Their apical and basal rotation values were analyzed by feature tracking, and the correlation analysis was performed for the improvement of LV torsion and ejection fraction after CABG. The intra- and inter-observer reliabilities of torsion measured by CMR-FT were assessed.Results: In normal hearts, the apex rotated counterclockwise in the systolic period with the peak rotation as 10.2 ± 4.8°, and the base rotated clockwise as the peak value was 7.0 ± 3.3°. There was a timing hiatus between the apex and base untwisting, during which period the heart recoils and its suction sets the stage for the following rapid filling period. The postoperative torsion and rotation significantly improved compared with preoperative ones. However, the traditional indicator of cardiac function, ejection fraction, didn’t show significant improvement.Conclusion: Left ventricular torsion derived from CMR-FT, which does not require specialized CMR sequences, was sensitive to patients with low ejection fraction whose cardiac function significantly improved after CABG. The rapid acquisition of this measurement has potential for the assessment of cardiac function in clinical practice. 

Level Set Method Optimized with the Euclidean Distance Transform

2019 ◽  
Author(s):  
Luis Fernando Segalla ◽  
Alexandre Zabot ◽  
Diogo Nardelli Siebert ◽  
Fabiano Wolf
Keyword(s):  
Level Set Method ◽  
Level Set ◽  
Euclidean Distance ◽  
Distance Transform ◽  
Euclidean Distance Transform

A Hybrid Approach for the Lung(s) Nodule Detection using the Deformable Model and Distance Transform

2020 ◽  
pp. -1--1
Author(s):  
Ayyaz Hussain ◽  
, Mohammed Alawairdhi ◽  
Fayez Alazemi ◽  
Sajid Khan ◽  
Muhammad Ramzan
Keyword(s):  
Hybrid Approach ◽  
Deformable Model ◽  
Distance Transform ◽  
Nodule Detection
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