Quantification of small cerebral ventricular volume changes in treated growth hormone patients using nonrigid registration

Research output: Contribution to journalArticlepeer-review

41 Citations (Scopus)

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) cm(3) for the patient group and 0.08 (0.62) cm(3) 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 less than or equal to 0.52 cm(3) (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).
Original languageEnglish
Pages (from-to)1292 - 1301
Number of pages10
JournalIeee Transactions on Medical Imaging
Volume21
Issue number10
DOIs
Publication statusPublished - Oct 2002

Fingerprint

Dive into the research topics of 'Quantification of small cerebral ventricular volume changes in treated growth hormone patients using nonrigid registration'. Together they form a unique fingerprint.

Cite this