Name
Title | ||
|---|---|---|
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation. |
Abstract | ||
|---|---|---|
PET image reconstruction is challenging due to the ill-poseness of the inverse problem and limited number of detected photons. Recently deep neural networks have been widely and successfully used in computer vision tasks and attracted growing interests in medical imaging. In this work, we trained a deep residual convolutional neural network to improve PET image quality by using the existing inter-patient information. An innovative feature of the proposed method is that we embed the neural network in the iterative reconstruction framework for image representation, rather than using it as a post-processing tool. We formulate the objective function as a constrained optimization problem and solve it using the alternating direction method of multipliers (ADMM) algorithm. Both simulation data and hybrid real data are used to evaluate the proposed method. Quantification results show that our proposed iterative neural network method can outperform the neural network denoising and conventional penalized maximum likelihood methods. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TMI.2018.2869871 | IEEE transactions on medical imaging |
Keywords | Field | DocType |
Image reconstruction,Biomedical imaging,Positron emission tomography,Optimization,Kernel,Biological neural networks | Noise reduction,Convolutional neural network,Computer science,Image quality,Artificial intelligence,Inverse problem,Deep learning,Artificial neural network,Iterative reconstruction,Computer vision,Residual,Pattern recognition,Machine learning | Journal |
Volume | Issue | ISSN |
abs/1710.03344 | 3 | 0278-0062 |
Citations | PageRank | References |
6 | 0.45 | 13 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kuang Gong | 1 | 23 | 5.10 |
| Jiahui Guan | 2 | 6 | 0.45 |
| Kyung Sang Kim | 3 | 22 | 6.56 |
| Xuezhu Zhang | 4 | 6 | 0.45 |
| Georges El Fakhri | 5 | 67 | 18.03 |
| Jinyi Qi | 6 | 284 | 35.82 |
| Quanzheng Li | 7 | 181 | 32.36 |