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Author
Carles Sanchez; Oriol Ramos Terrades; Patricia Marquez; Enric Marti; J.Roncaries; Debora Gil
Title
Automatic evaluation of practices in Moodle for Self Learning in Engineering
Type
Journal
Year
2015
Publication
Journal of Technology and Science Education
Abbreviated Journal
JOTSE
Volume
5
Issue
2
Pages
97-106
Keywords
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
IAM; DAG; 600.075; 600.077
Approved
no
Call Number
Admin @ si @ SRM2015
Serial
2610
Permanent link to this record
Author
Hanne Kause; Patricia Marquez; Andrea Fuster; Aura Hernandez-Sabate; Luc Florack; Debora Gil; Hans van Assen
Title
Quality Assessment of Optical Flow in Tagging MRI
Type
Conference Article
Year
2015
Publication
5th Dutch Bio-Medical Engineering Conference BME2015
Abbreviated Journal
Volume
Issue
Pages
Keywords
Abstract
Address
The Netherlands; January 2015
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
BME
Notes
IAM; ADAS; 600.076; 600.075
Approved
no
Call Number
Admin @ si @ KMF2015
Serial
2616
Permanent link to this record
Author
Hanne Kause; Aura Hernandez-Sabate; Patricia Marquez; Andrea Fuster; Luc Florack; Hans van Assen; Debora Gil
Title
Confidence Measures for Assessing the HARP Algorithm in Tagged Magnetic Resonance Imaging
Type
Book Chapter
Year
2015
Publication
Statistical Atlases and Computational Models of the Heart. Revised selected papers of Imaging and Modelling Challenges 6th International Workshop, STACOM 2015, Held in Conjunction with MICCAI 2015
Abbreviated Journal
Volume
9534
Issue
Pages
69-79
Keywords
Abstract
Cardiac deformation and changes therein have been linked to pathologies. Both can be extracted in detail from tagged Magnetic Resonance Imaging (tMRI) using harmonic phase (HARP) images. Although point tracking algorithms have shown to have high accuracies on HARP images, these vary with position. Detecting and discarding areas with unreliable results is crucial for use in clinical support systems. This paper assesses the capability of two confidence measures (CMs), based on energy and image structure, for detecting locations with reduced accuracy in motion tracking results. These CMs were tested on a database of simulated tMRI images containing the most common artifacts that may affect tracking accuracy. CM performance is assessed based on its capability for HARP tracking error bounding and compared in terms of significant differences detected using a multi comparison analysis of variance that takes into account the most influential factors on HARP tracking performance. Results showed that the CM based on image structure was better suited to detect unreliable optical flow vectors. In addition, it was shown that CMs can be used to detect optical flow vectors with large errors in order to improve the optical flow obtained with the HARP tracking algorithm.
Address
Munich; Germany; January 2015
Corporate Author
Thesis
Publisher
Springer International Publishing
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
LNCS
Series Volume
Series Issue
Edition
ISSN
0302-9743
ISBN
978-3-319-28711-9
Medium
Area
Expedition
Conference
STACOM
Notes
ADAS; IAM; 600.075; 600.076; 600.060; 601.145
Approved
no
Call Number
Admin @ si @ KHM2015
Serial
2734
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