Improved segmentation technique to detect cardiac infarction in composite strain - encoded ( C - sence ) images / Ahmad Osama Algohary ; Supervised Ahmed Elbialy , Ahmed Kandil , Nael osman

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Ahmad Osama Algohary

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TextLanguage: English Publication details: Cairo : Ahma,d Osama Algohary , 2010Description: 106P. : charts , facsimiles ; 30cmOther title:

أسلوب تجزئة محسن لكشف احتشاء القلب فى صور الترميز المركب للإجهاد [Added title page title]

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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering Summary: Composite Strain Encoding ( C - sence ) is a new MRI technique that combines the use of Delayed Enhancement ( DE ) and Strain Encoding (SENC ) imaging techniques . In this work , a new technique is proposed to identify infarcted heart tissues in the functional and viability images provided by C - SENC MRI

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Item type	Current library	Home library	Call number	Copy number	Status	Date due	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.03.M.Sc.2010.Ah.I (Browse shelf(Opens below))		Not for loan		01010110054628000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.03.M.Sc.2010.Ah.I (Browse shelf(Opens below))	54628.CD	Not for loan		01020110054628000

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Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering

Composite Strain Encoding ( C - sence ) is a new MRI technique that combines the use of Delayed Enhancement ( DE ) and Strain Encoding (SENC ) imaging techniques . In this work , a new technique is proposed to identify infarcted heart tissues in the functional and viability images provided by C - SENC MRI

Issued also as CD

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