Name
Abstract | ||
|---|---|---|
Dynamic functional imaging has been limited by the finite spatial resolution and high noise. Various smoothing methods have been proposed to reduce noise from functional image. However, these smoothing methods are usually based on the spatial domain and local statistical properties. Smoothing algorithms specifically designed for dynamic functional image data have not previously been investigated in detail. We present a new 3D smoothing method that aim to diminish the noise and improve the quality of the dynamic images. By taking advantage of domain specific physiological 3D kinetic feature related to functional images and their physiological activity information in time domain, this technique can provide much smoothed dynamic functional images with high noise reduction while preserving edges and subtle details. |
Year | Venue | Keywords |
|---|---|---|
2000 | VIP | time domain,spatial resolution,noise reduction,3d imaging,functional imaging,medical imaging,smoothing,kinetics,image processing |
Field | DocType | ISBN |
Noise reduction,Time domain,Computer vision,Computer science,Medical imaging,Functional imaging,Image processing,Smoothing,Artificial intelligence,Image resolution,3d image | Conference | 0-909-92580-1 |
Citations | PageRank | References |
1 | 0.41 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weidong Cai | 1 | 938 | 86.65 |
| David Dagan Feng | 2 | 3329 | 413.76 |
| Roger Fulton | 3 | 62 | 5.99 |