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✦   LIBER   ✦

Automatic method for tracing regions of interest in rat brain magnetic resonance imaging studies

✍ Scribed by Binbin Nie; Jiaojie Hui; Lijing Wang; Pei Chai; Juan Gao; Shuangquan Liu; Zhijun Zhang; Baoci Shan; Shujun Zhao

Publisher
John Wiley and Sons
Year
2010
Tongue
English
Weight
253 KB
Volume
32
Category
Article
ISSN
1053-1807

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✦ Synopsis

Abstract

Purpose

To automatically extract regions of interest (ROIs) and simultaneously preserve the anatomical characteristics of each individual, we developed a new atlas‐based method utilizing a pair of coregistered brain template and digital atlas.

Materials and Methods

Unlike the previous atlas‐based method, this method treats each individual as the target image, and the template and atlas are each transformed to register with the individual. To evaluate the accuracy of this method we implemented it in extracting the hippocampus from two groups of T~2~‐weighted structural images with different spatial resolutions and a group of T~2~*‐weighted functional images. Furthermore, the results were compared against a manually segmented hippocampus and an atlas‐derived hippocampus.

Results

Jaccard similarity (JS) reached 84.7%–90.5%, and relative error in volume (RV) was 4.8%–12.7%. The consistency observed between the results of the proposed method and manual drawing was therefore considerable.

Conclusion

We developed a new atlas‐based method for ROI extraction that can automatically extract ROI and simultaneously preserve each individual's unique anatomical characteristics. J. Magn. Reson. Imaging 2010;32:830–835. © 2010 Wiley‐Liss, Inc.

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