| 000 | 017900000a22003490004500 | ||
|---|---|---|---|
| 003 | EG-GICUC | ||
| 005 | 20250223030046.0 | ||
| 008 | 060917s2006 ua d f m 000 0 eng d | ||
| 040 |
_aEG-GICUC _beng _cEG-GICUC |
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| 041 | 0 | _aEng | |
| 049 | _aDeposite | ||
| 097 | _aM.Sc | ||
| 099 | _aCai01.13.03.M.Sc.2006.In.N. | ||
| 100 | 0 | _aInas Ahmed Mohamed Yassine Mahmoud | |
| 245 | 1 | 0 |
_aNew methodologies for data analysis of diffusion weighted magnetic resonance imaging / _cInas Ahmed Mohamed Yassine Mahmoud ; Supervised Aboubakr Mohamed Youssef , Yasser Moustafa Kadah |
| 246 | 1 | 5 | _aطرق جديدة لمعالجة صور الرنين المغناطيسى المتاثرة بالتخلل |
| 260 |
_aCairo : _bInas Ahmed Mohamed Yassine Mahmoud , _c2006 |
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| 300 |
_a130P : _bdiagrs ; _c30cm |
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| 502 | _aThesis (M.Sc.) - Cairo University - Faculty Of Engineering - Department Of Biomedical Engineering | ||
| 520 | _aDiffusion tensor imaging (DTI) is a non - invasive quantitative method of characterizing tissue micro - structureDiffusion imaging attempts to characterize the manner by which the water molecules within a particular location move within a given amount of timeThe advantage of this modality lies in the fact that the changes in water diffusion at each direction , produced by alterations in brain biochemistry , can be measured as the Apparent Diffusion coefficient (ADC) | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aBackground noise | |
| 653 | 4 | _aDiffusion tensor | |
| 653 | 4 | _aMRI | |
| 653 | 4 | _aMulti - tensor | |
| 700 | 0 |
_aAboubakr Mohamed Youssef , _eSupervisor |
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| 700 | 0 |
_aYasser Moustafa Kadah , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 905 |
_aMustafa _eRevisor |
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| 905 |
_aSamia _eCataloger |
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| 942 |
_2ddc _cTH |
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| 999 |
_c26556 _d26556 |
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