Paper Info
Title
A strategy to quantitatively evaluate MRI/PET cardiac rigid registration methods using a Monte Carlo simulator
Abstract
The goal of this work is to present a strategy to validate cardiac MRI/PET registration methods. The strategy relies on a MRI/PET image reference data set including a computer generated PET data set of the thorax and its structures. This data set was produced using a Monte Carlo simulator from segmented T1-weighted MRI thorax data. From the reference data set as a gold standard, test transformations are randomly generated and used to quantify registration accuracy. The validation approach has been applied to our own rigid registration method with three different similarity measures: Correlation Ratio, Correlation Coefficient and Mutual Information. In this study, we observed that the Correlation Ratio gave better results both for thorax and heart image registration.
Year
DOI
Venue
2003
10.1007/3-540-44883-7_20
FIMH
Keywords
Field
DocType
correlation coefficient,correlation ratio,reference data,heart image registration,pet image reference data,pet cardiac rigid registration,pet data,monte carlo simulator,own rigid registration method,registration accuracy,pet registration method,image registration,monte carlo simulation,mutual information,gold standard
Reference data (financial markets),Correlation coefficient,Computer vision,Monte Carlo method,Computer science,Image reference,Correlation ratio,Positron emission tomography,Artificial intelligence,Mutual information,Image registration
Conference
Volume
ISSN
ISBN
2674
0302-9743
3-540-40262-4
Citations 
PageRank 
References 
3
0.52
5
Authors
8
Name
Order
Citations
PageRank
Nicoleta Pauna11197.11
Pierre Croisille217719.75
Nicolas Costes3478.25
Anthonin Reilhac4508.20
Timo Mäkelä51419.80
Onuc Cozar630.52
M F Janier7193.60
Patrick Clarysse845254.82