Name
Abstract | ||
|---|---|---|
The multi-contrast MRI volume registration problem constitutes one of the basic steps in many computer vision applications. Since different types of MRI images have totally different intensity distributions, the use of well known area based image alignment techniques does not consist a good choice for the solution of the problem at hand. In this paper the usage of Self Quotient Volumes as an efficient representation of the candidate volumes, to permit the exploitation of area based techniques, is proposed. In addition, a well known "signal" similarity measure based on the Enhanced Correlation Coefficient, is adapted for solving the volume alignment problem. From the application of the proposed technique in a series of experiments with artificial, as well as real, MRI brain sequences and its comparison against state of the art volume registration techniques it seems that its performance is better for both types (same and different contrast) of alignment problem. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/BIBE.2019.00187 | 2019 IEEE 19TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE) |
Keywords | Field | DocType |
Medical Imaging, Multi-modal Alignment, Multi-contrast MRI, Volume registration, Enhanced Correlation Coefficient, Edge Preserving Filtering, Self Quotient Volume | Correlation coefficient,Image alignment,Similarity measure,Pattern recognition,Medical imaging,Computer science,Quotient,Artificial intelligence,Machine learning,Maximization | Conference |
ISSN | Citations | PageRank |
2471-7819 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nikolaos Nikolikos | 1 | 0 | 0.68 |
| Nefeli Lamprinou | 2 | 0 | 1.69 |
| Anastasia Boile | 3 | 0 | 0.34 |
| Emmanouil Z. Psarakis | 4 | 43 | 11.05 |