Paper Info
Title
Simulation Model of Intravascular Ultrasound Images
Abstract
The extraction of quantitative information through Intravascular Ultrasound (IVUS) images is a very important goal for the diagnostic and the therapy in atherosclerotic vessels. The correct interpretation highly depends on what gray level values of the image mean, i.e. understanding of IVUS image formation. In this project, we propose a simple physical model for simulating IVUS images, based on a discrete representation of the tissue by individual scatterers elements with given spatial distribution and Backscattering Cross Section. This simulation allows studying the significance and the relation between different tissues and the image. Our model allows to study the physics parameters for the IVUS image generation in order to help to the best interpretation (the study of the visibility and robust discrimination of the different structures) as well as to allow creating image data bases to be used during validation of image processing techniques.
Year
DOI
Venue
2004
10.1007/978-3-540-30136-3_26
Lecture Notes in Computer Science
Keywords
Field
DocType
simulation model,cross section,image formation,physical model,ultrasound
Computer vision,Visibility,Intravascular ultrasound,Pattern recognition,Computer science,Backscatter,Image processing,Image formation,Artificial intelligence,Gray level,Real image,Discrete representation
Conference
Volume
ISSN
Citations 
3217
0302-9743
9
PageRank 
References 
Authors
1.17
0
4
Name
Order
Citations
PageRank
Misael Dario Rosales Ramírez191.17
P. Radeva211513.89
Josepa Mauri312312.15
Oriol Pujol496360.82