title: A digital interactive human brain atlas based on Chinese visible human datasets for anatomy teaching.
abstract: As we know, the human brain is one of the most complicated organs in the human body, which is the key and difficult point in neuroanatomy and sectional anatomy teaching. With the rapid development and extensive application of imaging technology in clinical diagnosis, doctors are facing higher and higher requirement on their anatomy knowledge. Thus, to cultivate medical students to meet the needs of medical development today and to improve their ability to read and understand radiographic images have become urgent challenges for the medical teachers. In this context, we developed a digital interactive human brain atlas based on the Chinese visible human datasets for anatomy teaching (available for free download from http://www.chinesevisiblehuman.com/down/DHBA.rar). The atlas simultaneously provides views in all 3 primary planes of section. The main structures of the human brain have been anatomically labeled in all 3 views. It is potentially useful for anatomy browsing, user self-testing, and automatic student assessment. In a word, it is interactive, 3D, user friendly, and free of charge, which can provide a new, intuitive means for anatomy teaching.
authors: From the *Department of Anatomy, College of Basic Medicine, Third Military Medical University, Chongqing; †Network Information Center, Training Department, Chongqing Communication College, Chongqing; and ‡Department of Medical Informatics and Medical Imaging, College of Biomedical Engineering and Medical Imaging, Third Military Medical University, Chongqing, China.
authors: Qiyu
authors: Q
authors: Li
authors: Xu
authors: X
authors: Ran
authors: Shaoxiang
authors: S
authors: Zhang
authors: Liwen
authors: L
authors: Tan
authors: Mingguo
authors: M
authors: Qiu
mesh_terms: D019412:Anatomy, Cross-Sectional / Q000193:education; D001271:Atlases as Topic; D001921:Brain / Q000033:anatomy & histology*; D002681:China; D032882:Comprehension; D004501:Education, Medical; D004521:Educational Measurement; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D021621:Imaging, Three-Dimensional / Q000379:methods; D009445:Neuroanatomy / Q000193:education*; D012984:Software; D013337:Students, Medical; D013664:Teaching Materials; D014584:User-Computer Interface; D053443:Visible Human Projects; D055815:Young Adult