Name
Abstract | ||
|---|---|---|
Positron Emission Tomography is a technique of molecular imaging and provides information about biochemical process within the body of a patient, it is employed for diagnosis, staggering, and treatment planning. However, the resulting images have high noise levels that may cause difficulties for reading and interpreting the images by medical staff. For this reason, it is necessary to perform a denoising step to achieve better signal to noise ratio. In this paper, an approach is presented to denoise Positron Emission Tomography sinogram images using non-local total variation in the sinogram domain. The images are modeled in the sinogram domain using a Poisson noise model, it is proposed to adapt the SPIRAL algorithm to approximate the objective function to be minimized with separable quadratic functions to include the nonlocal total variation as a regularization term. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/SSIAI.2014.6806018 | SSIAI |
Keywords | Field | DocType |
poisson distribution,radon transforms,biochemistry,image denoising,image reconstruction,medical image processing,molecular biophysics,positron emission tomography,pet sinogram images,poisson noise model,spiral algorithm,biochemical process,molecular imaging,noise reduction,nonlocal total variation regularization,objective function approximation,objective function minimization,separable quadratic functions,signal to noise ratio,sinogram domain,sparse poisson intensity reconstruction algorithm,staggering,treatment planning,noise measurement,tv,psnr | Iterative reconstruction,Noise reduction,Computer vision,Pattern recognition,Computer science,Signal-to-noise ratio,Total variation denoising,Quadratic function,Regularization (mathematics),Artificial intelligence,Positron emission tomography,Shot noise | Conference |
ISSN | Citations | PageRank |
1550-5782 | 0 | 0.34 |
References | Authors | |
5 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| j s mejia | 1 | 0 | 0.34 |
| boris mederos | 2 | 0 | 0.34 |
| s cabrera | 3 | 0 | 0.34 |
| h dominguez | 4 | 0 | 0.34 |
| Osslan Osiris Vergara Villegas | 5 | 15 | 6.40 |