IHEP OpenIR  > 多学科研究中心
Automatic Method for Tracing Regions of Interest in Rat Brain Magnetic Resonance Imaging Studies
Nie BB(聂彬彬); Chai P(柴培); Gao J(高娟); Liu SQ(刘双全); Dan BC(单保慈); Nie, BB; Hui, JJ; Wang, LJ; Chai, P; Gao, JA; Liu, SQ; Zhang, ZJ; Shan, BC; Zhao, SJ
2010
发表期刊JOURNAL OF MAGNETIC RESONANCE IMAGING
卷号32期号:4页码:830-835
通讯作者[Nie, Binbin ; Chai, Pei ; Gao, Juan ; Liu, Shuangquan ; Shan, Baoci] Chinese Acad Sci, Inst High Energy Phys, Key Lab Nucl Analyt Tech, Beijing 100049, Peoples R China ; [Nie, Binbin ; Zhao, Shujun] Zhengzhou Univ, Phys Sci & Technol Coll, Zhengzhou 450052, Peoples R China ; [Hui, Jiaojie ; Zhang, Zhijun] Southeast Univ, Sch Clin Med, Nanjing, Peoples R China ; [Wang, Lijing] People Hosp Wei Cty, Dept Internal Med, Beijing, Peoples R China
文章类型Article
摘要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.
关键词regions of interest rat-brain template rat-brain atlas hippocampus Jaccard similarity
学科领域Radiology, Nuclear Medicine & Medical Imaging
DOI10.1002/jmri.22283
URL查看原文
语种英语
WOS研究方向Radiology, Nuclear Medicine & Medical Imaging
WOS类目Radiology, Nuclear Medicine & Medical Imaging
WOS记录号WOS:000282764800008
引用统计
文献类型期刊论文
条目标识符http://ir.ihep.ac.cn/handle/311005/238567
专题多学科研究中心
核技术应用研究中心
作者单位中国科学院高能物理研究所
推荐引用方式
GB/T 7714
Nie BB,Chai P,Gao J,et al. Automatic Method for Tracing Regions of Interest in Rat Brain Magnetic Resonance Imaging Studies[J]. JOURNAL OF MAGNETIC RESONANCE IMAGING,2010,32(4):830-835.
APA 聂彬彬.,柴培.,高娟.,刘双全.,单保慈.,...&Zhao, SJ.(2010).Automatic Method for Tracing Regions of Interest in Rat Brain Magnetic Resonance Imaging Studies.JOURNAL OF MAGNETIC RESONANCE IMAGING,32(4),830-835.
MLA 聂彬彬,et al."Automatic Method for Tracing Regions of Interest in Rat Brain Magnetic Resonance Imaging Studies".JOURNAL OF MAGNETIC RESONANCE IMAGING 32.4(2010):830-835.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
5518.pdf(252KB)期刊论文作者接受稿限制开放CC BY-NC-SA请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[聂彬彬]的文章
[柴培]的文章
[高娟]的文章
百度学术
百度学术中相似的文章
[聂彬彬]的文章
[柴培]的文章
[高娟]的文章
必应学术
必应学术中相似的文章
[聂彬彬]的文章
[柴培]的文章
[高娟]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。