Paper
19 April 2004 Development of image and information management system for Korean standard brain
Soon Cheol Chung, Do Young Choi, Gye Rae Tack, Jin Hun Sohn
Author Affiliations +
Abstract
The purpose of this study is to establish a reference for image acquisition for completing a standard brain for diverse Korean population, and to develop database management system that saves and manages acquired brain images and personal information of subjects. 3D MP-RAGE (Magnetization Prepared Rapid Gradient Echo) technique which has excellent Signal to Noise Ratio (SNR) and Contrast to Noise Ratio (CNR) as well as reduces image acquisition time was selected for anatomical image acquisition, and parameter values were obtained for the optimal image acquisition. Using these standards, image data of 121 young adults (early twenties) were obtained and stored in the system. System was designed to obtain, save, and manage not only anatomical image data but also subjects' basic demographic factors, medical history, handedness inventory, state-trait anxiety inventory, A-type personality inventory, self-assessment depression inventory, mini-mental state examination, intelligence test, and results of personality test via a survey questionnaire. Additionally this system was designed to have functions of saving, inserting, deleting, searching, and printing image data and personal information of subjects, and to have accessibility to them as well as automatic connection setup with ODBC. This newly developed system may have major contribution to the completion of a standard brain for diverse Korean population since it can save and manage their image data and personal information.
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Soon Cheol Chung, Do Young Choi, Gye Rae Tack, and Jin Hun Sohn "Development of image and information management system for Korean standard brain", Proc. SPIE 5371, Medical Imaging 2004: PACS and Imaging Informatics, (19 April 2004); https://doi.org/10.1117/12.532922
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KEYWORDS
Brain

Neuroimaging

Image acquisition

Standards development

Signal to noise ratio

3D acquisition

Databases

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