000 04164nam a2200553Ii 4500
001 9780429441493
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006 m o d
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008 181112t20182019fluab ob 001 0 eng d
020 _a9780429441493
_q(e-book : PDF)
035 _a(OCoLC)1035774806
040 _aFlBoTFG
_cFlBoTFG
_erda
041 1 _aeng
050 4 _aRC670
072 7 _aMED
_x009000
_2bisacsh
072 7 _aMED
_x010000
_2bisacsh
072 7 _aTEC
_x059000
_2bisacsh
072 7 _aMJD
_2bicscc
082 0 4 _a 616.1/075
245 0 0 _aCardiovascular Imaging and Image Analysis /
_cedited by Ayman El-Baz and Jasjit S. Suri.
250 _aFirst edition.
264 1 _aBoca Raton, FL :
_bCRC Press,
_c[2018].
264 4 _c©2019.
300 _a1 online resource (468 pages) :
_b100 illustrations, text file, PDF
336 _atext
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
504 _aIncludes bibliographical references and index.
505 0 0 _tA Novel 4D PDE-Based Approach for Accurate Assessment of Myocardium Function Using Cine Cardiac Magnetic Resonance Images. Magnetic Resonance Imaging Evaluation of Left Ventricular Dimentions and Function of Pericardial and Myocardial Disease. Improving Full-Cardiach Cycle Strain Estimation from Tagged CMR by Accurate Modeling of 4D & #D image Appearance Characteriistics. New Automated Markov-Gibbs Random Field Based Framework for Myocardial Wall Viability Quantification on Agent Enhanced Cardiac Magentic Resonance Images. Accurate Automatic Analysis of Cardiac Cine Images. Segmentation of the Left Ventricle from Cardiac MR Images Based on Radial GVF Snake. 4D Deformable Models with Temporal Constraints: Application to 4D Cardiac Image Segmentation. Multistage Hybrid Active Apperance Model Matching: Segmentation of Left and Right Ventricles in Cardiac MR Images. Automatic Detection of Left Ventricle in 4D MR Images. Fully Automated Framework for the Analysis of Myocardial First-Pass Perfusion MR Images. First-Pass Myocardial Perfusion Cardiovascular Magnetic Resonance at 3 Tesla. Quantitative Analysis of First-Pass Contrast-Enhanced Myocardial Perfusion MRI. Unsurpassed Inline Analysis of Cardiac Perfusion MRI. Model-Based Registration for Dynamic Cardiac Perfusion MRI.Improved Semi-Automated Segmentation of Cardiac CT and MR Images.
520 3 _aThis book covers the state-of-the-art approaches for　automated non-invasive systems for early cardiovascular disease diagnosis. It includes several prominent imaging modalities such as MRI, CT, and PET technologies. There is a special emphasis placed on automated imaging analysis techniques, which are important to biomedical imaging analysis of the cardiovascular system. Novel 4D based approach is a unique characteristic of this product. This is a comprehensive multi-contributed reference work that will detail the latest developments in spatial, temporal, and functional cardiac imaging.　The main aim of this book is to help advance scientific research within the broad field of　early detection of cardiovascular disease. This book focuses on major trends and challenges in this area, and it presents work aimed to identify new techniques and their use in biomedical image analysis.
530 _aAlso available in print format.
650 0 _aCardiovascular system
_xDiseases
_xDiagnosis.
650 0 _aDiagnostic imaging.
650 7 _aMEDICAL / Cardiology.
_2bisacsh
650 7 _aTECHNOLOGY & ENGINEERING / Biomedical.
_2bisacsh
650 7 _aAutomated Imaging Techniques.
_2bisacsh
650 7 _aCardiac CT and MR Imaging.
_2bisacsh
650 7 _aMagnetic Resonance Imaging.
_2bisacsh
650 7 _aMedical Image Segmentation.
_2bisacsh
650 7 _aMyocardial Infraction.
_2bisacsh
650 7 _a4D Imaging of the Cardiovascular System.
_2bisacsh
655 0 _aElectronic books.
700 1 _aEl-Baz, Ayman,
_eeditor.
700 1 _aSuri, Jasjit S.,
_eeditor.
710 2 _aTaylor and Francis.
776 0 8 _iPrint version:
_z9781498797580
856 4 0 _uhttps://www.taylorfrancis.com/books/9780429441493
_zClick here to view.
999 _c128511
_d128511