## Abstract ## Purpose: To compare the hippocampal volumes in patients with bipolar disorder (BD) and healthy controls, obtained by applying different segmentation methods (manual, Freesurfer [FS], and FSL). ## Materials and Methods: The study included 27 patients with BD and 40 healthy controls
Evaluation of manual and automatic segmentation of the mouse heart from CINE MR images
✍ Scribed by Edwin Heijman; Jean-Paul Aben; Cindy Penners; Petra Niessen; René Guillaume; Guillaume van Eys; Klaas Nicolay; Gustav J. Strijkers
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 365 KB
- Volume
- 27
- Category
- Article
- ISSN
- 1053-1807
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
Purpose
To compare global functional parameters determined from a stack of cinematographic MR images of mouse heart by a manual segmentation and an automatic segmentation algorithm.
Materials and Methods
The manual and automatic segmentation results of 22 mouse hearts were compared. The automatic segmentation was based on propagation of a minimum cost algorithm in polar space starting from manually drawn contours in one heart phase. Intra‐ and interobserver variability as well as validity of the automatic segmentation was determined. To test the reproducibility of the algorithm the variability was calculated from the intra‐ and interobserver input.
Results
The mean time of segmentation for one dataset was around 10 minutes and ≈2.5 hours for automatic and manual segmentation, respectively. There were no significant differences between the automatic and the manual segmentation except for the end systolic epicardial volume. The automatically derived volumes correlated well with the manually derived volumes (R^2^ = 0.90); left ventricular mass with and without papillary muscle showed a correlation R^2^ of 0.74 and 0.76, respectively. The manual intraobserver variability was superior to the interobserver variability and the variability of the automatic segmentation, while the manual interobserver variability was comparable to the variability of the automatic segmentation. The automatic segmentation algorithm reduced the bias of the intra‐ and interobserver variability.
Conclusion
We conclude that automatic segmentation of the mouse heart provides a fast and valid alternative to manual segmentation of the mouse heart. J. Magn. Reson. Imaging 2007. © 2007 Wiley‐Liss, Inc.
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