scholarly journals Full-Vector Gradient for Multi-Spectral or Multivariate Images

2019 ◽  
Vol 28 (5) ◽  
pp. 2228-2241 ◽  
Author(s):  
Hermine Chatoux ◽  
Noel Richard ◽  
Francois Lecellier ◽  
Christine Fernandez-Maloigne
Keyword(s):  
Multivariate Images ◽  
Full Vector

A new procedure for the modelling and representation of classes in multivariate images

2005 ◽  
Vol 75 (2) ◽  
pp. 115-126 ◽  
Author(s):  
J.C. Noordam ◽  
W.H.A.M. van den Broek ◽  
P. Geladi ◽  
L.M.C. Buydens
Keyword(s):  
Multivariate Images

Principal component analysis of multivariate images

1989 ◽  
Vol 5 (3) ◽  
pp. 209-220 ◽  
Author(s):  
Paul Geladi ◽  
Hans Isaksson ◽  
Lennart Lindqvist ◽  
Svante Wold ◽  
Kim Esbensen
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Multivariate Images

scholarly journals MULTIVARIATE MATHEMATICAL MORPHOLOGY FOR DCE-MRI IMAGE ANALYSIS IN ANGIOGENESIS STUDIES

2014 ◽  
Vol 34 (1) ◽  
pp. 1 ◽  
Author(s):  
Guillaume Noyel ◽  
Jesus Angulo ◽  
Dominique Jeulin ◽  
Daniel Balvay ◽  
Charles-André Cuenod
Keyword(s):  
Noise Reduction ◽  
Data Sets ◽  
Computer Aided Detection ◽  
Segmentation Method ◽  
Temporal Segmentation ◽  
Dce Mri ◽  
Contrast Enhanced ◽  
Key Points ◽  
Multivariate Images ◽  
Spatio Temporal

We propose a new computer aided detection framework for tumours acquired on DCE-MRI (Dynamic Contrast Enhanced Magnetic Resonance Imaging) series on small animals. To perform this approach, we consider DCE-MRI series as multivariate images. A full multivariate segmentation method based on dimensionality reduction, noise filtering, supervised classification and stochastic watershed is explained and tested on several data sets. The two main key-points introduced in this paper are noise reduction preserving contours and spatio temporal segmentation by stochastic watershed. Noise reduction is performed in a special way to select factorial axes of Factor Correspondence Analysis in order to preserves contours. Then a spatio-temporal approach based on stochastic watershed is used to segment tumours. The results obtained are in accordance with the diagnosis of the medical doctors.

Full vector beam propagation method for axially dependent 3-D structures

1997 ◽  
Vol 33 (2) ◽  
pp. 1540-1543 ◽  
Author(s):  
E.E. Kriezis ◽  
P. Pantelakis ◽  
C.S. Antonopoulos ◽  
A.G. Papagiannakis
Keyword(s):  
Beam Propagation Method ◽  
Beam Propagation ◽  
Vector Beam ◽  
Full Vector
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