Title:	DEVELOPMENT OF A MEDICAL IMAGE PROCESSING/ANALYSIS SOFTWARE SPECIALLY OPTIMIZED FOR STROKE CLINICAL STUDY
Author(s):	Kyoung-Jong Park, Tae-Yun Kim, Hyun Ju Choi, Sang-Wuk Jeong, Dong-Eog Kim, Heung-Kook Choi
ISBN:	978-972-8939-16-8
Editors:	Mário Macedo
Year:	2010
Edition:	Single
Keywords:	Image Registration, Brain MRI, Standard Brain Template, Clinical Research, Statistical Analysis
Type:	Short Paper
First Page:	258
Last Page:	263
Language:	English
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Paper Abstract:	To study brain MRI based clinical researches effectively, it is essential to register clinical test results to standard brain templates, which enables to analyze statistically. Previous brain MRI based clinical researches only treated some qualitative image based data, but it couldn't be performed using digitized numerical data because of a shortage of specialized software. Various software tools such as SPM, MRIcro or 3D-slicer have been used to help clinical researches. However, these tools have some limits over the uses of them in many researches because they didn't specialized. And because all of them only had supported 3D based data, they couldn't be applicable to clinical researches based on 2D data which are produced from many clinical tests. In this research, we improved limits of previous other software and developed new software which are specialized to clinical researches. Our software provides intuitive user interfaces, so non-specialist also can use easily without any training. And it can fix individual errors related to image registration using the functionality of 2D image registration. Therefore we also added the functions of massive data processing, which have not been supported in other software generally. Our software was implemented based on the massive database, so, it can present an accurate standard in diagnosis by using the accumulated data obtained from thousands of stroke patients. Our software also analyze result data flexibly by supporting various types of data which can be used in commercial statistical analysis software packages such as SPSS and SAS including visualized data.
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