Name
Abstract | ||
|---|---|---|
This paper introduces a new technique for reconstruction of biomedical ultrasound images from simulated compressive measurements, based on modeling data with stable distributions. The proposed algorithm exploits two types of prior information: on one hand, our proposed approach is based on the observation that ultrasound RF echoes are best characterized statistically by alpha-stable distributions.... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TCI.2015.2463257 | IEEE Transactions on Computational Imaging |
Keywords | Field | DocType |
Ultrasonic imaging,Radio frequency,Image reconstruction,Imaging,Minimization,Frequency-domain analysis,Image coding | Iterative reconstruction,Frequency domain,Computer vision,Data modeling,Monte Carlo method,Random variable,Iteratively reweighted least squares,Fourier transform,Artificial intelligence,Mathematics,Compressed sensing | Journal |
Volume | Issue | ISSN |
1 | 2 | 2573-0436 |
Citations | PageRank | References |
4 | 0.43 | 14 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alin Achim | 1 | 699 | 61.36 |
| Adrian Basarab | 2 | 148 | 25.03 |
| George Tzagkarakis | 3 | 139 | 17.94 |
| P. Tsakalides | 4 | 954 | 120.69 |
| Denis Kouame | 5 | 37 | 10.48 |