LEADER 01061nam2-2200325---45-- 001 990001086700203316 005 20020705114923.0 010 $a88-02-05169-0 035 $a000108670 035 $aUSA01000108670 035 $a(ALEPH)000108670USA01 035 $a000108670 100 $a20020705d1999----km|y1itay0103----ba 101 0 $aita 102 $aIT 105 $aa|||z|||001yy 200 1 $a<<6: La>> clinica$epatologia sistematica integrata. [1], Malattie dell'apparato cardiovascolare, malattie dell'apparato respiratorio, malattie dell'apparato digerente 210 $aTorino$cUTET$d[1999] 215 $aXVIII, 779 p.$d29 cm. 461 1$10010080273$12001$aProfessione medico 801 0$aIT$bUNPD$gRICA 912 $a990001086700203316 951 $a610 PRO 6$b3051 Farm.$c610$d00082359 959 $aBK 979 $aJOHNNY$b90$c20020705$lUSA01$h1148 979 $aJOHNNY$b90$c20020705$lUSA01$h1148 979 $aJOHNNY$b90$c20020705$lUSA01$h1149 979 $aPATRY$b90$c20040406$lUSA01$h1715 996 $aClinica$9975439 997 $aUNISA LEADER 07633nam 22008895 450 001 996211262503316 005 20200630040003.0 010 $a3-319-14678-5 024 7 $a10.1007/978-3-319-14678-2 035 $a(CKB)3710000000325060 035 $a(SSID)ssj0001408398 035 $a(PQKBManifestationID)11727574 035 $a(PQKBTitleCode)TC0001408398 035 $a(PQKBWorkID)11347444 035 $a(PQKB)11194069 035 $a(DE-He213)978-3-319-14678-2 035 $a(MiAaPQ)EBC6305126 035 $a(MiAaPQ)EBC5591570 035 $a(Au-PeEL)EBL5591570 035 $a(OCoLC)1066200142 035 $a(PPN)183152638 035 $a(EXLCZ)993710000000325060 100 $a20141231d2015 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aStatistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges$b[electronic resource] $e5th International Workshop, STACOM 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers /$fedited by Oscar Camara, Tommaso Mansi, Mihaela Pop, Kawal Rhode, Maxime Sermesant, Alistair Young 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (XII, 296 p. 134 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v8896 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-14677-7 320 $aIncludes bibliographical references and index. 327 $aAdvanced Normalization Tools for Cardiac Motion Correction -- Deformable Image Registration and Intensity Correction of Cardiac Perfusion MRI -- Comparison of Linear and Non-linear 2D+T Registration Methods for DE-MRI Cardiac Perfusion Studies -- Motion Correction for Dynamic Contrast-Enhanced CMR Perfusion Images Using a Consecutive Finite Element Model Warping -- Deformable and Rigid Model-Based Image Registration for Quantitative Cardiac Perfusion -- Automatic Perfusion Analysis Using Phase-Based Registration and Object-Based Image Analysis -- LV Mechanics Challenge -- Left Ventricular Diastolic and Systolic Material Property Estimation from Image Data -- Evaluation of Personalised Canine Electromechanical Models -- Connection Forms for Beating the Heart: LV Mechanics Challenge (Methods) -- Patient?Specific Parameter Estimation for a Transversely Isotropic Active Strain Model of Left Ventricular Mechanics -- Estimation of Diastolic Biomarkers: Sensitivity to Fibre Orientation -- Fully-Coupled Electromechanical Simulations of the LV Dog Anatomy Using HPC: Model Testing and Verification -- STACOM Challenge: Simulating Left Ventricular Mechanics in the Canine Heart -- Identifying Myocardial Mechanical Properties from MRI Using an Orthotropic Constitutive Model -- Evaluating Local Contractions from Large Deformations Using Affine Invariant Spectral Geometry -- Image-Based View-Angle Independent Cardiorespiratory Motion Gating for X-ray-Guided Interventional Electrophysiology Procedures -- Analysis of Mitral Valve Motion in 4D Transesophageal Echocardiography for Transcatheter Aortic Valve Implantation -- Structural Abnormality Detection of ARVC Patients via Localised Distance-to-Average Mapping -- Joint Myocardial Motion and Contraction Phase Estimation from Cine MRI Using Variational Data Assimilation -- Segmentation of the Aortic Valve Apparatus in 3D Echocardiographic Images: Deformable Modeling of a Branching Medial Structure -- Estimation of Regional Electrical Properties of the Heart from 12-Lead ECG and Images -- Multi-source Motion Decoupling Ablation Catheter Guidance for Electrophysiology Procedures -- Statistical Model of Paroxysmal Atrial Fibrillation Catheter Ablation Targets for Pulmonary Vein Isolation -- Factors Affecting Optical Flow Performance in Tagging Magnetic Resonance Imaging -- Multi-modal Validation Framework of Mitral Valve Geometry and Functional Computational Models -- Robust Detection of Mitral Papillary Muscle from 4D Transesophageal Echocardiography -- Reusability of Statistical Shape Models for the Segmentation of Severely Abnormal Hearts -- Registration of Real-Time and Prior Imaging Data with Applications to MR Guided Cardiac Interventions -- Restoration of Phase-Contrast Cardiovascular MRI for the Construction of Cardiac Contractility Atlases -- Manifold Learning for Cardiac Modeling and Estimation Framework. 330 $aThis book constitutes the thoroughly refereed post-conference proceedings of the 5th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2014, held in conjunction with MICCAI 2014, in Boston, MA, USA, in September 2014. The 30 revised full papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics such as sections on cardiac image processing; atlas construction; statistical modelling of cardiac function across different patient populations; cardiac mapping; cardiac computational physiology; model customization; atlas based functional analysis; ontological schemata for data and results; integrated functional and structural analyses; as well as the pre-clinical and clinical applicability of these methods. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v8896 606 $aOptical data processing 606 $aHealth informatics 606 $aComputer simulation 606 $aMathematical statistics 606 $aPattern recognition 606 $aCardiology 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23060 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 606 $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aCardiology$3https://scigraph.springernature.com/ontologies/product-market-codes/H33037 615 0$aOptical data processing. 615 0$aHealth informatics. 615 0$aComputer simulation. 615 0$aMathematical statistics. 615 0$aPattern recognition. 615 0$aCardiology. 615 14$aImage Processing and Computer Vision. 615 24$aHealth Informatics. 615 24$aSimulation and Modeling. 615 24$aProbability and Statistics in Computer Science. 615 24$aPattern Recognition. 615 24$aCardiology. 676 $a611.12 702 $aCamara$b Oscar$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMansi$b Tommaso$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPop$b Mihaela$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRhode$b Kawal$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSermesant$b Maxime$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYoung$b Alistair$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996211262503316 996 $aStatistical Atlases and Computational Models of the Heart. 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