Abstract
Acquiring high-resolution dynamic images is desirable but often technically challenging in contrast-enhanced tumor imaging due to the limited data acquisition speed. This paper presents an improved Magnetic Resonance Imaging (MRI) method for dynamic contrast-enhanced imaging of tumors, which involves a new data acquisition scheme and a reconstruction algorithm using a generalized-series model. Simulation results using phantom and real tumor MRI imaging data show that the method can provide significant improvements in spatiotemporal resolution over previous methods such as Keyhole.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 478-481 |
| Number of pages | 4 |
| Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Volume | 1 |
| State | Published - 2003 |
| Event | A New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Cancun, Mexico Duration: Sep 17 2003 → Sep 21 2003 |
Keywords
- Contrast-enhanced tumor imaging
- Generalized-series model
- Image reconstruction
- Magnetic Resonance Imaging
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics