中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Automatic Method for Tracing Regions of Interest in Rat Brain Magnetic Resonance Imaging Studies

文献类型:期刊论文

作者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
刊名JOURNAL OF MAGNETIC RESONANCE IMAGING
出版日期2010
卷号32期号:4页码:830-835
关键词regions of interest rat-brain template rat-brain atlas hippocampus Jaccard similarity
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
英文摘要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.
学科主题Radiology, Nuclear Medicine & Medical Imaging
类目[WOS]Radiology, Nuclear Medicine & Medical Imaging
研究领域[WOS]Radiology, Nuclear Medicine & Medical Imaging
原文出处SCI
语种英语
WOS记录号WOS:000282764800008
源URL[http://ir.ihep.ac.cn/handle/311005/238567]  
专题高能物理研究所_多学科研究中心
高能物理研究所_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.

入库方式: OAI收割

来源:高能物理研究所

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