Name
Title | ||
|---|---|---|
Quantification of small cerebral ventricular volume changes in treated growth hormone patients using nonrigid registration. |
Abstract | ||
|---|---|---|
Nonrigid registration can automatically quantify small changes in volume of anatomical structures over time by means of segmentation propagation. Here, we use a nonrigid registration algorithm based on optimising normalized mutual information to quantify small changes in brain ventricle volume in magnetic resonance (MR) images of a group of five patients treated with growth hormone replacement therapy and a control group of six volunteers. The lateral ventricles are segmented from each subject image by registering with the brainweb image which has this structure delineated. The mean (standard deviation) volume change measurements are 1.09 (0.73) cm3 for the patient group and 0.08 (0.62) cm3 for the volunteer group; this difference is statistically significant at the 1% level. We validate our volume measurements by determining the precision from three consecutive scans of five volunteers and also comparing the measurements to previously published volume change estimates obtained by visual inspection of difference images. Results demonstrate a precision of sigma < or = 0.52 cm3 (n = 5) and a rank correlation coefficient with assessed difference images of p = 0.7 (n = 11). To determine the level of shape correspondence we manually segmented subject's ventricles and compared them to the propagations using a voxel overlap similarity index, this gave a mean similarity index of 0.81 (n = 7). |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/TMI.2002.806281 | IEEE transactions on medical imaging |
Keywords | Field | DocType |
nonrigid registration algorithm,growth hormone treated patients,volume measurement,segmentation propagation,shape correspondence level,visual inspection,rank correlation coefficient,image segmentation,optimising normalized mutual information,small changes quantification,medical diagnostic imaging,difference images,small cerebral ventricular volume changes quantification,biomedical mri,magnetic resonance imaging,brain,voxel overlap similarity,image registration,splines (mathematics),brainweb image,structure delineation,medical image processing,patient treatment,similarity index,volunteers,statistical significance,diagnosis,anatomy,comparative study,pathology,drug therapy,control group,deficiency,indexing terms,imaging,algorithms,rank correlation,cross sectional,magnetic resonance,three dimensional,mutual information | Rank correlation,Nuclear medicine,Voxel,Computer vision,Segmentation,Image processing,Image segmentation,Artificial intelligence,Standard deviation,Mathematics,Image registration,Magnetic resonance imaging | Journal |
Volume | Issue | ISSN |
21 | 10 | 0278-0062 |
Citations | PageRank | References |
18 | 1.41 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mark Holden | 1 | 138 | 6.75 |
| Julia A Schnabel | 2 | 1978 | 151.49 |
| Derek L G Hill | 3 | 2823 | 441.79 |