scholarly journals An adaptive statistical method for denoising 4D fluorescence image sequences with preservation of spatio-temporal discontinuities

2005 ◽  
Author(s):  
J. Boulanger ◽  
C. Kervrann ◽  
P. Bouthemy
Keyword(s):  
Statistical Method ◽  
Image Sequences ◽  
Fluorescence Image ◽  
Spatio Temporal

Spatio-temporal shape building from image sequences using lateral interaction in accumulative computation

2003 ◽  
Vol 36 (5) ◽  
pp. 1131-1142 ◽  
Author(s):  
Antonio Fernandez-Caballero ◽  
Miguel A. Fernandez ◽  
Jose Mira ◽  
Ana E. Delgado
Keyword(s):  
Image Sequences ◽  
Lateral Interaction ◽  
Temporal Shape ◽  
Spatio Temporal

3-D CARDIAC MODELING: A COMPUTER VISION APPROACH IN SPATIO-TEMPORAL IMAGE SEQUENCES

1996 ◽  
Vol 04 (02) ◽  
pp. 181-197 ◽  
Author(s):  
J.L. COATRIEUX ◽  
C. TOUMOULIN ◽  
R. COLLOREC
Keyword(s):  
Computer Vision ◽  
Three Dimensional ◽  
Object Identification ◽  
Image Sequences ◽  
Low Contrast ◽  
Dimensional Reconstruction ◽  
Contrast Structures ◽  
Computer Vision Applications ◽  
Spatio Temporal ◽  
Active Research

A very active research was conducted on motion analysis. Most of the concepts, methods and assumptions are well established and lead to additional improvements in computer vision applications. Even in medicine where we have to deal with noisy data, low contrast structures and deformable objects, they bring new cues at all the processing stages. This paper emphasizes the specificities of this area and also the potential difficulties. A compilation of results is given aimed at the quantification of heart kinetics in Digital Subtraction Angiography (DSA). They illustrate the benefits of cooperative schemes such as motion based segmentation, moving object identification, three-dimensional reconstruction and interpretation.

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