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Basic and Clinical Neuroscience، جلد ۱۶، شماره ۴، صفحات ۰-۰
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
VCfMRI: A Matlab Toolbox for Visualization and Conversion of fMRI Data Modalities |
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| چکیده انگلیسی مقاله |
In this work, a novel conversion and visualization fMRI (VCfMRI) toolbox is proposed. The VCfMRI tool is enabled to read, write 3-D volume data (.dcm, .nii, .img, hdr and .mat format) as well as multi conversion operations between them are performed in the same package. In the current work, real fMRI data are used and all data are acquired by MRI scanner type Siemens/3T in National Magnetic Resonance Research Center (UMRAM)-Bilkent University. About 62 analyses functions have been implemented and incorporated in analysis about 7 GUI tools for multiple conversions of fMRI modalities, reading/writing and viewing in all fMRI data formats, visualizing 3-dimensional (sagittal, coronal and horizontal slices) statistical and non-statistical neuroimaging, thresholding and overlaying viewing. The presented package is a simple tool to address several issues that related to complexity in visualizing and conversion between multi-formats of fMRI data. This work enables the user to visualize and deals with fMRI data in an easy way especially for physicians, healthcare specialists and researchers whose faced challenges about how handling with these type of data. |
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| کلیدواژه‌های انگلیسی مقاله |
Analyze7.5 Data (img/hdr), DICOM, DICOM Conversion, fMRI, Neuroimaging, NIFTI |
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| نویسندگان مقاله |
| Hussain Jaber
Ankara Yıldırım Beyazıt University, Ankara, Turkey.
| Hadeel Aljobouri
Al-Nahrain University, Iraq.
| Orhan Kocak
Kırıkkale University, Turkey.
| Oktay Algin
Bilkent University, Ankara, Turkey.
| Ilyas Cankaya
Ankara Yıldırım Beyazıt University, Ankara, Turkey.
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| نشانی اینترنتی |
http://bcn.iums.ac.ir/browse.php?a_code=A-10-1694-1&slc_lang=en&sid=1 |
| فایل مقاله |
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| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
Computational Neuroscience |
| نوع مقاله منتشر شده |
Original |
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