Abstract | ||
---|---|---|
T1-weighted anatomical brain scans are routinely used in neuroimaging studies, for example, as anatomical reference for functional data and in brain morphometry studies. Subject motion can degrade the quality of these images. An additional problem is the occurrence of signal dropouts in the case of long echo times and low receiver bandwidths. These problems are addressed in two different studies. |
Year | DOI | Venue |
---|---|---|
2006 | 10.1016/j.neuroimage.2005.08.004 | NeuroImage |
Keywords | Field | DocType |
Structural imaging,Anatomical imaging,Movement artefact,MDEFT,Signal dropout,Fat suppression,Bandwidth | Computer science,Phased array,Image quality,Cognitive psychology,Artificial intelligence,Neuroimaging,Scalp,Pattern recognition,Ringing,Brain morphometry,Speech recognition,Bandwidth (signal processing),Pixel | Journal |
Volume | Issue | ISSN |
29 | 3 | 1053-8119 |
Citations | PageRank | References |
9 | 2.12 | 2 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Clare Howarth | 1 | 12 | 3.27 |
C Hutton | 2 | 273 | 131.38 |
Ralf Deichmann | 3 | 470 | 262.31 |