Name
Title | ||
|---|---|---|
Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation |
Abstract | ||
|---|---|---|
In cardiac magnetic resonance (CMR) imaging, a 3D high-resolution segmentation of the heart is essential for detailed description of its anatomical structures. However, due to the limit of acquisition duration and respiratory/cardiac motion, stacks of multi-slice 2D images are acquired in clinical routine. The segmentation of these images provides a low-resolution representation of cardiac anatomy, which may contain artefacts caused by motion. Here we propose a novel latent optimisation framework that jointly performs motion correction and super resolution for cardiac image segmentations. Given a low-resolution segmentation as input, the framework accounts for inter-slice motion in cardiac MR imaging and super-resolves the input into a high-resolution segmentation consistent with input. A multi-view loss is incorporated to leverage information from both short-axis view and long-axis view of cardiac imaging. To solve the inverse problem, iterative optimisation is performed in a latent space, which ensures the anatomical plausibility. This alleviates the need of paired low-resolution and high-resolution images for supervised learning. Experiments on two cardiac MR datasets show that the proposed framework achieves high performance, comparable to state-of-the-art super-resolution approaches and with better cross-domain generalisability and anatomical plausibility. The codes are available at https:// github.com/shuowang26/SRHeart. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1007/978-3-030-87199-4_2 | MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2021, PT III |
Keywords | DocType | Volume |
Super-resolution, Motion correction, Cardiac MR | Conference | 12903 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
0 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuo Wang | 1 | 0 | 0.68 |
| Chen Qin | 2 | 79 | 11.70 |
| Nicoló Savioli | 3 | 0 | 1.01 |
| Chen Chen | 4 | 15 | 4.79 |
| Declan P. O'Regan | 5 | 258 | 16.33 |
| Stuart Cook | 6 | 0 | 0.34 |
| Yike Guo | 7 | 1319 | 165.32 |
| Daniel Rueckert | 8 | 9338 | 637.58 |
| Wenjia Bai | 9 | 445 | 35.84 |