Name
Title | ||
|---|---|---|
Synthesizing Multi-Contrast Mr Images Via Novel 3d Conditional Variational Auto-Encoding Gan |
Abstract | ||
|---|---|---|
As two different modalities of medical images, Magnetic Resonance (MR) and Computer Tomography (CT), provide mutually-complementary information to doctors in clinical applications. However, to obtain both images sometimes is cost-consuming and unavailable, particularly for special populations. For example, patients with metal implants are not suitable for MR scanning. Also, it is probably infeasible to acquire multi-contrast MR images during once clinical scanning. In this context, to synthesize needed MR images for patients whose CT images are available becomes valuable. To this end, we present a novel generative network, called CAE-ACGAN, which incorporates the advantages of Variational Auto-Encoder (VAE) and Generative Adversarial Network (GAN) with an auxiliary discriminative classifier network. We apply this network to synthesize multi-contrast MR images from single CT and conduct experiments on brain datasets. Our main contributions can be summarized as follows: 1)We alleviate the problems of images blurriness and mode collapse by integrating the advantages of VAE and GAN; 2) We solve the complicated cross-domain, multi-contrast MR synthesis task using the proposed network; 3) The technique of random-extraction-patches is used to lower the limit of insufficient training data, enabling to obtain promising results even with limited available data; 4) By comparing with other typical networks, we are able to yield nearer-real, higher-quality synthetic MR images, demonstrating the effectiveness and stability of our proposed network. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1007/s11036-020-01678-1 | MOBILE NETWORKS & APPLICATIONS |
Keywords | DocType | Volume |
MR synthesis, 3D, Multi-contrast, Auto-encoding, Generative adversarial network | Journal | 26 |
Issue | ISSN | Citations |
1 | 1383-469X | 1 |
PageRank | References | Authors |
0.34 | 23 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huan Yang | 1 | 4 | 1.06 |
| Xianling Lu | 2 | 1 | 0.34 |
| Shuihua Wang | 3 | 1564 | 87.49 |
| Zhihai Lu | 4 | 15 | 1.25 |
| Jian Yao | 5 | 1 | 0.34 |
| Yizhang Jiang | 6 | 382 | 27.24 |
| pengjiang qian | 7 | 30 | 5.48 |